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Microsoft Certified: Azure AI Cloud Developer Associate (AI-200) (AI-200) (AI-200) — Questions 226300

507 questions total · 7pages · All types, answers revealed

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226
MCQmedium

You are configuring an Azure OpenAI service instance. You need to ensure that the service is only accessible from your corporate virtual network and that public internet access is completely disabled. Which configuration should you implement?

A.Set the firewall rules to block all traffic and allow only the specific IP address of your NAT gateway.
B.Configure a Service Tag in the Network Security Group to allow only specific IP ranges.
C.Implement Azure AD Conditional Access policies to restrict access based on user location.
D.Create a Private Endpoint, disable public network access in the Networking tab, and verify the DNS zone configuration.
AnswerD

This is the standard pattern for network isolation for Azure AI services.

Why this answer

Private endpoints provide a secure connection to the service via a private IP in your VNet, and disabling public network access ensures the service is not exposed to the public internet.

227
MCQhard

You are configuring role-based access control for an Azure AI Search service. A data scientist needs to index content and query documents, but must not be permitted to manage service-level keys or change admin configurations. Which built-in role should you assign?

A.Search Service Contributor
B.Search Index Data Contributor
C.Cognitive Services Contributor
D.Storage Blob Data Reader
AnswerB

This role permits reading, writing, and querying search indices without granting service administration privileges.

Why this answer

Search Index Data Contributor allows users to read, write, and search index data, adhering to the principle of least privilege without granting admin key management rights.

228
Multi-Selecthard

You are designing a high-performance AI inference architecture on Azure Kubernetes Service (AKS). Which THREE AKS features or configurations should you incorporate to optimize performance and resource utilization? (Choose three.)

Select 3 answers
A.Cluster Autoscaler to automatically scale node pool size based on pending pod demands
B.Running all pods exclusively on single-core, low-memory burstable VMs (B-series)
C.GPU-optimized node pools (such as NC or ND series virtual machines)
D.Disabling the Kubernetes scheduler to manually place every container instance
E.Node taints and tolerations to dedicate GPU nodes strictly to AI inference pods
AnswersA, C, E

Cluster Autoscaler adds or removes cluster nodes dynamically as resource demands fluctuate.

Why this answer

Optimizing AKS for AI workloads includes utilizing GPU-optimized node pools, node taint/tolerations to dedicate nodes to AI tasks, and cluster autoscaler for dynamic scaling.

229
MCQmedium

You are configuring an Azure Event Grid system to route custom application events to an Azure Function webhook. To ensure secure communication, you decide to use Event Grid custom topics with Azure AD authentication. Which configuration step is required on the Azure Function endpoint to authenticate incoming events from Event Grid?

A.Configure the Azure Function app with an Event Grid system-assigned managed identity and grant it the Event Grid Data Sender role.
B.Install the Microsoft.Azure.EventGrid NuGet package and configure a SAS token generated from the Function App settings.
C.Enable mutual TLS (mTLS) authentication on the Azure Function App and upload the Event Grid root CA certificate.
D.Implement validation handshake logic in the Azure Function code to respond to the Event Grid subscription validation event.
AnswerD

Endpoints must validate their ownership by responding to the validation handshake request sent by Event Grid upon creation.

Why this answer

Azure Event Grid supports Webhook validation handshake by sending a Subscription Validation Event containing a validation code, which the webhook endpoint must echo back.

230
MCQmedium

Your Azure Event Hubs namespace is experiencing high throughput spikes from AI inference nodes. You notice that some client producers are receiving 'QuotaExceededException' errors. What is the root cause and how should you remediate it?

A.Ingress or egress limits have been exceeded; enable Auto-Inflate on the Event Hubs namespace.
B.The partition count has been exceeded; decrease the number of consumer groups.
C.The SAS token has expired; regenerate the connection string.
D.The message retention period has expired; increase retention days.
AnswerA

Auto-Inflate automatically scales up the number of Throughput Units based on traffic load, preventing throttling.

Why this answer

Event Hubs throughput is governed by Throughput Units (TUs) or Processing Units (PUs) in dedicated clusters. Exceeding ingress or egress limits triggers QuotaExceededException. Remediation involves scaling up TUs or enabling Auto-Inflate.

231
MCQhard

You are deploying a model that requires a specific version of a non-standard OS library. You want to ensure the build environment is consistent across your team. What should you use?

A.Manual installation on the build agent.
B.A Dockerfile with fixed base image tags.
C.Install the library via a post-deployment script.
D.Use the 'latest' tag for the base image.
AnswerB

Fixed tags ensure consistent environments across all builds.

Why this answer

Multi-stage Dockerfiles ensure the build environment is defined as code and consistent.

232
MCQhard

You are designing a multi-tenant enterprise RAG system using Azure AI Search. Each tenant requires isolated document retrieval. Which feature should you implement to enforce data security while leveraging vector search?

A.Role-Based Access Control (RBAC) at the index level
B.Dedicated search services per tenant without filters
C.Security trimming using OData filter expressions with vector queries
D.Semantic ranker query throttling
AnswerC

Security trimming using OData filters ensures that vector and hybrid search queries only return documents the user is authorized to access.

Why this answer

Security trimming in Azure AI Search allows filtering search results based on user permissions by applying document-level access control lists (ACLs) using OData filters during the search query execution.

233
MCQeasy

An AI inference pipeline uses Azure Event Hubs to ingest telemetry. Your consumer application needs to read events starting from a specific timestamp to replay historical data for model retraining. Which feature of Event Hubs enables this capability?

A.Starting position based on Enqueued Time
B.Event Hubs Capture window
C.Event Grid event retention policy
D.Service Bus message lock duration
AnswerA

Event Hubs allows consumers to start reading from a specific enqueued time stamp to replay historical streams.

Why this answer

Event Hubs consumer groups allow multiple applications to read the stream independently, and you can specify a starting offset, sequence number, or offset datetime (enqueue time) when creating an EventProcessorClient or partition receiver.

234
MCQeasy

You are deploying a web application container to Azure Container Apps and want to enable external HTTPS traffic. Which ingress setting must you configure?

A.Set target port to 80 and protocol to TCP
B.Enable ingress with external traffic permitted
C.Disable ingress entirely
D.Configure internal ingress only
AnswerB

External ingress exposes the container app to public HTTPS traffic with a fully qualified domain name.

Why this answer

Enabling ingress and setting traffic to external allows public internet access to your Container App over HTTPS.

235
MCQmedium

You are designing an application that requires low-latency vector search for a high-traffic AI chatbot. You need to ensure the vector index remains performant as the dataset grows into millions of documents. Which index configuration in Azure AI Search should you implement to optimize for speed over absolute recall accuracy?

A.Flat Indexing
B.Exhaustive KNN
C.HNSW
D.Partitioned Indexing
AnswerC

HNSW is the recommended index type for performance in large-scale vector search scenarios.

Why this answer

HNSW (Hierarchical Navigable Small World) allows for approximate nearest neighbor search, providing the best performance-to-accuracy balance for large datasets.

236
MCQmedium

You need to automate the deployment of containerized AI models whenever a new image is pushed to ACR. What is the most efficient Azure-native tool for this trigger?

A.ACR Tasks.
B.Azure Service Bus.
C.Azure Policy.
D.Azure Logic Apps.
AnswerA

ACR Tasks are specifically designed to respond to repository events.

Why this answer

ACR Tasks can trigger deployments or build processes automatically upon push events.

237
Multi-Selectmedium

Your team is choosing between using Azure AI Search or Cosmos DB for NoSQL for a new project. Which TWO factors are key considerations that favor Azure AI Search?

Select 2 answers
A.Need for deep integration with full-text search (BM25) and hybrid search.
B.Requirement to store petabytes of data.
C.Requirement for high-frequency transactional ACID updates to metadata.
D.Need for built-in semantic re-ranking for better accuracy.
E.Need for lowest possible latency at the database level.
AnswersA, D

Azure AI Search is optimized for hybrid search, combining vector and full-text search.

Why this answer

Azure AI Search offers built-in support for full-text search (BM25) and advanced re-ranking, which are not native features of Cosmos DB's vector implementation.

238
MCQmedium

You have an Azure OpenAI model deployment and need to monitor token consumption metrics over time to forecast future usage. Which tool provides pre-built charts for prompt and completion token counts?

A.Azure Monitor metrics explorer on the Azure OpenAI resource.
B.Microsoft Purview data lineage maps.
C.Azure Advisor cost optimization recommendations.
D.Azure Log Analytics workspace without Application Insights configured.
AnswerA

Metrics explorer provides native charting for token usage metrics without requiring custom code.

Why this answer

Azure Monitor provides built-in metrics for Azure OpenAI, including 'Processed Prompt Tokens' and 'Generated Tokens'.

239
MCQhard

You are setting up monitoring for a custom machine learning scoring script running inside an Azure Container Instance. You want to track custom metrics such as inference prediction confidence scores over time in Application Insights. How should you record these custom metrics in your Python scoring script?

A.Save the metrics as text files in an Azure Blob Storage account and run hourly KQL queries
B.Use the Application Insights TelemetryClient track_metric() method
C.Print JSON strings to standard output and rely on Log Analytics automatic table parsing
D.Update Azure Key Vault secrets with the metric values
AnswerB

Correct. TelemetryClient.track_metric allows sending custom metrics directly to Application Insights.

Why this answer

Using the `track_metric` method of the Application Insights `TelemetryClient` in Python allows you to record custom numerical metrics and send them to Azure Monitor.

240
MCQmedium

Your application uses Cosmos DB for NoSQL to store product metadata and vectors. You need to perform a vector search that combines similarity scores with specific filter criteria on the 'category' field. How should you define your index policy to support this?

A.Define a vector index policy and include the 'category' property in the indexing policy's included paths.
B.Create a vector index policy containing only the vector embedding path.
C.Enable auto-indexing for all properties to ensure vector search works.
D.Use a stored procedure to perform the filter after the vector search result set is returned.
AnswerA

This configuration allows the engine to filter by category before or during the vector similarity search phase.

Why this answer

Vector index policies in Cosmos DB must be configured to support hybrid search by including the vector embedding path and the property filter path for efficient query execution.

241
MCQmedium

You want to ensure your AI inference service is highly available across multiple regions. What is the recommended approach for container distribution?

A.Store images in a public Docker Hub account.
B.Use a single global ACR endpoint.
C.Manually copy images using a script.
D.Enable ACR Georeplication.
AnswerD

Georeplication automatically syncs images to multiple regions.

Why this answer

Georeplication in ACR ensures images are available locally in multiple regions, improving deployment speed and availability.

242
MCQhard

You are designing a data architecture on Azure where embeddings are generated offline by an Azure Databricks pipeline and stored in Azure AI Search. You want to minimize ingestion latency and optimize throughput when uploading millions of pre-computed vectors. Which client library API pattern should you use?

A.Use SearchClient batch upload APIs with up to 1000 documents per batch
B.Stream vectors directly through the Azure AI Search integrated vectorizer skillset
C.Send documents one-by-one using synchronous CreateOrUpdate API calls
D.Execute direct SQL INSERT statements against the underlying search partition nodes
AnswerA

Batching documents up to the 1000-document limit maximizes indexing throughput in Azure AI Search.

Why this answer

When uploading large batches of documents containing pre-computed vectors to Azure AI Search, using the SearchClient.UploadDocumentsBatch (or mergeOrUpload) method with batched payloads of up to 1000 documents maximizes throughput.

243
MCQeasy

Your application publishes custom events to an Azure Event Grid topic. You want to ensure that the webhook endpoint receiving these events can verify that the request genuinely originated from Event Grid. Which validation mechanism should your webhook implement?

A.Validate the validation handshake request during setup and check the aeg-signature header on incoming event deliveries.
B.Require mutual TLS client certificates issued by the consumer app.
C.Verify the client's SQL Server connection string.
D.Check that the incoming IP address matches Azure Blob Storage storage IPs.
AnswerA

Checking the validation handshake and signature headers ensures the endpoint only accepts authentic Event Grid payloads.

Why this answer

Event Grid sends a validation handshake (Subscription Validation event) when creating a subscription, and subsequent events include signature validation headers (such as `aeg-signature`) if configured, or webhook validation tokens.

244
Multi-Selecteasy

Which TWO of the following are true about Azure Container Apps?

Select 2 answers
A.You must manage the underlying Kubernetes nodes.
B.It is a serverless container platform.
C.It is not compatible with Dapr.
D.It supports KEDA for event-driven scaling.
E.It does not support VNETs.
AnswersB, D

ACA manages the underlying infrastructure.

Why this answer

ACA is serverless and supports KEDA for scaling.

245
Multi-Selecteasy

When configuring an Azure Container Instances container group, which TWO properties can you define?

Select 2 answers
A.AKS node pool sizing
B.DNS name label for public IP resolution
C.Virtual machine scale set autoscaling rules
D.Kubernetes namespace allocation
E.Environment variables passed to the container runtime
AnswersB, E

A DNS name label exposes the container group publicly with a FQDN.

Why this answer

An ACI container group supports defining networking properties like DNS name labels, environment variables, restart policies, and resource requests.

246
MCQeasy

You are monitoring a custom AI application using Application Insights. You need to track the duration of specific LLM prompt processing calls. Which telemetry type should you use to record this performance data?

A.Dependency telemetry
B.Trace telemetry
C.Request telemetry
D.Custom Metrics
AnswerA

Dependency telemetry is designed to track external service calls including latency and success/failure.

Why this answer

Dependencies are used to track calls to external services like APIs, databases, or LLM endpoints, making them ideal for tracking processing duration.

247
MCQhard

You are configuring GPU time-slicing on an AKS cluster to maximize GPU utilization for multiple lightweight AI inference containers sharing a single NVIDIA A100 GPU. Where must you define the time-slicing configuration profile?

A.Inside the Dockerfile of each individual AI container
B.A Kubernetes ConfigMap referenced by the NVIDIA device plugin daemonset
C.Via Azure Container Apps workload profiles configuration
D.In the Azure portal under AKS cluster node pool properties
AnswerB

NVIDIA device plugin uses a ConfigMap to define sharing parameters such as time-slicing replicas.

Why this answer

GPU time-slicing in AKS is configured using a ConfigMap that defines replica counts per GPU device, which is then applied to the cluster.

248
MCQmedium

Your data science team uses Azure Machine Learning notebooks. To prevent data exfiltration, you need to ensure that users cannot download datasets or trained model artifacts directly from the workspace to their local corporate laptops. Which feature should you configure?

A.Using Azure Front Door with Web Application Firewall disabled
B.Disabling Azure Monitor diagnostic logging
C.Workspace configured with a managed virtual network and outbound rules blocking public internet egress, plus disabled local file downloads in compute instance settings
D.Assigning the Contributor role to all external collaborators
AnswerC

Correct. Restricting outbound network traffic and workspace egress prevents unauthorized data downloading.

Why this answer

Disabling public internet access and configuring data egress restrictions or using compute instances with outbound internet access disabled prevents data downloading to local devices.

249
MCQhard

You are designing an AI application architecture where embeddings are generated on-the-fly by an Azure Function and stored in Azure Cosmos DB for NoSQL. During peak load, the Azure Function times out due to rate limits (HTTP 429) from Azure OpenAI Service. What design pattern should you implement to make the ingestion pipeline resilient?

A.Increase the Azure Function execution timeout limit to 24 hours
B.Disable SSL verification on the Azure OpenAI client connection
C.Switch from Azure OpenAI to local text file storage
D.Implement an asynchronous message queue using Azure Service Bus to buffer ingestion requests and handle rate-limit retries
AnswerD

Azure Service Bus queues allow graceful handling of rate limits and retries without dropping requests.

Why this answer

Implementing an asynchronous messaging pattern using Azure Service Bus or Event Hubs decouples the client ingestion request from embedding generation, allowing rate limiting and retries.

250
MCQhard

Your enterprise AI system uses Azure Service Bus. A background job processes messages from a subscription. If an exception occurs, the message must be abandoned, but you want to ensure that after 5 failed delivery attempts, the message is automatically moved to a dead-letter queue without custom retry logic in code. How should you configure this?

A.Implement a Session-based retry policy with an exponential backoff timer.
B.Set the MaxDeliveryCount property on the Service Bus subscription to 5.
C.Enable DeadLetteringOnMessageExpiration on the subscription settings.
D.Configure the LockDuration property to 5 seconds.
AnswerB

When delivery count exceeds MaxDeliveryCount, Service Bus automatically dead-letters the message.

Why this answer

You should configure the MaxDeliveryCount property on the Service Bus subscription to 5. Once exceeded, Service Bus automatically moves the message to the dead-letter sub-queue.

251
Multi-Selectmedium

When configuring vector search in Azure AI Search, which TWO parameters must be defined when creating a vector profile? (Choose two)

Select 2 answers
A.algorithm
B.name
C.sqlConnectionString
D.vmSize
E.cosmosDatabaseName
AnswersA, B

The algorithm property references a defined algorithm configuration (e.g., HNSW).

Why this answer

A vector profile requires a profile name, an algorithm configuration name, and optionally a vectorizer name.

252
MCQhard

You are designing an enterprise RAG application that stores vector embeddings in Azure AI Search. You want to ensure that if the primary Azure region goes down, your search service automatically fails over with minimal data loss. How should you design your geo-replication strategy?

A.Export search indexes to CSV files hourly and upload them manually
B.Configure geo-replication with replica services in a paired Azure region, enabling read-only failover and re-indexing capabilities
C.Rely on Azure Blob Storage geo-redundancy to automatically mirror search index memory
D.Configure synchronous multi-region write master locks across 10 regions simultaneously
AnswerB

Geo-replication creates secondary replicas in paired regions for high availability.

Why this answer

Deploying Azure AI Search with geo-replication across paired Azure regions ensures read availability, while writes can be resubmitted to the primary region upon recovery.

253
MCQhard

You are configuring network policies in an AKS cluster to isolate your AI inference pods from other namespaces. You notice that traffic is still flowing between namespaces despite applying a NetworkPolicy. What is the most likely cause?

A.The AKS cluster was deployed with a network plugin that does not enforce Kubernetes network policies
B.Network policies require IPv6 enablement on the cluster subnet
C.Network policies apply only to ingress controllers, not pod-to-pod traffic
D.Azure Firewall is blocking the network policy controller
AnswerA

Kubenet or default unconfigured Azure CNI without policy enforcement enabled will ignore NetworkPolicy objects.

Why this answer

AKS requires a network plugin that supports network policies, such as Azure CNI with Azure Network Policies or Calico, to be enabled at cluster creation.

254
MCQmedium

You are deploying an Azure OpenAI Service resource in a secured virtual network. You need to ensure that client applications inside a peered virtual network can access the Azure OpenAI endpoint without traversing the public internet, while completely blocking public network access. Which feature should you configure?

A.Service endpoints with default deny rules on the public firewall
B.Azure Application Gateway with Web Application Firewall (WAF)
C.Azure Bastion deployed in the management subnet
D.Azure Private Link with a private endpoint for the Azure OpenAI resource
AnswerD

Correct. Private endpoints securely map the service endpoint to a private IP within your VNet and allow you to disable public access.

Why this answer

Configuring private endpoints via Azure Private Link allows secure access from a peered virtual network using a private IP address from the VNet's address space, while public network access can be completely disabled.

255
Multi-Selecthard

When designing an Azure Event Hubs streaming pipeline for AI telemetry, which THREE components or configurations are required to consume events reliably using the EventProcessorClient? Each correct answer represents a necessary element.

Select 3 answers
A.A Checkpoint Store (such as an Azure Blob Storage container client)
B.An active Azure Service Bus subscription connection
C.An Event Hubs Consumer Group name
D.An Event Grid custom topic endpoint URL
E.Event Hubs connection string and Event Hub name
AnswersA, C, E

The processor needs a checkpoint store to persist consumer progress and coordinate partitions.

Why this answer

Using EventProcessorClient requires an Event Hubs connection string, a consumer group, and a checkpoint store (such as Azure Blob Storage).

256
Multi-Selectmedium

Which TWO of the following can be used to manage secrets in a containerized AI workload?

Select 2 answers
A.Azure Key Vault Secret Store CSI driver.
B.Embedding them in the image.
C.Azure Data Lake.
D.Writing secrets to a log file.
E.Native Kubernetes Secrets.
AnswersA, E

Industry standard for secret management in AKS.

Why this answer

Kubernetes Secrets and Azure Key Vault (with FlexVolume or Secret Store CSI) are the two standard ways.

257
MCQmedium

Your application sends messages to an Azure Service Bus queue. A downstream worker needs to postpone processing of a specific message until a later time without losing its place in the queue or dead-lettering it. What method should the worker invoke?

A.CompleteMessageAsync()
B.DeferMessageAsync()
C.AbandonMessageAsync()
D.DeadLetterMessageAsync()
AnswerB

Deferral sets the message aside in a deferred state, preserving its sequence number for later retrieval.

Why this answer

Service Bus supports message deferral. A receiver can call `DefferMessageAsync()` on a received message, which moves it into a deferred state where it can only be retrieved by its unique `SequenceNumber` later.

258
MCQhard

You are integrating an Azure Event Hubs namespace with Azure Machine Learning for real-time model training. You need to archive raw telemetry data into Azure Data Lake Storage Gen2 in Apache Parquet format without writing custom code. Which feature should you enable?

A.Event Grid system topic with a Storage Blob export endpoint
B.Azure Stream Analytics job with a Blob output sink
C.Service Bus Geo-Disaster Recovery replication
D.Event Hubs Capture
AnswerD

Capture allows seamless, continuous batching of streaming data to storage in configurable time and size intervals.

Why this answer

Event Hubs Capture automatically packages streaming data into Avro or Parquet files and stores them directly in Azure Blob Storage or Azure Data Lake Storage Gen2.

259
MCQeasy

Which type of registry is most suitable for storing images that are shared across an entire organization?

A.Docker Hub (Free).
B.GitHub Container Registry.
C.Local hard drive.
D.Azure Container Registry.
AnswerD

ACR is the enterprise-grade solution for Azure-based organizations.

Why this answer

Azure Container Registry (ACR) provides private storage and fine-grained access control for organizational images.

260
Multi-Selectmedium

Your organization wants to ensure that all Azure AI development follows strict security and observability standards. Which TWO of the following practices should be enforced across teams? (Choose two)

Select 2 answers
A.Disable all monitoring to reduce cloud resource costs.
B.Use shared root passwords for all virtual machines.
C.Require Application Insights integration on all deployed web and AI applications.
D.Mandate managed identities for all service-to-service authentication.
E.Allow developers to store production database passwords in public README files.
AnswersC, D

Correct. Application Insights ensures centralized telemetry and error tracking.

Why this answer

Enforcing managed identities for authentication and integrating Application Insights SDK for tracing ensure security and observability standards.

261
MCQhard

You are configuring data ingestion into an Azure AI Search index using an Azure AI Search indexer. The source data resides in Azure Blob Storage and consists of PDF documents. You want to chunk the documents and generate embeddings during ingestion without writing custom orchestration code. Which feature should you configure?

A.Azure Data Factory mapping data flows with vector transformations
B.A custom WebJob running LangChain
C.Cosmos DB change feed triggers
D.Integrated vectorization with built-in document splitting and vectorizer skillset configuration
AnswerD

Integrated vectorization allows indexers to handle chunking and embedding generation natively.

Why this answer

Azure AI Search supports built-in chunking and vectorization capabilities within skillsets or integrated vectorization to parse, chunk, and embed documents automatically via indexers.

262
MCQhard

An Azure Machine Learning model is deployed to a Kubernetes cluster. Users report intermittent 503 errors. You suspect the underlying compute nodes are overloaded. Where should you look first to correlate these errors with infrastructure health?

A.Azure Key Vault audit logs.
B.Log Analytics Workspace 'AppRequests' table.
C.Container Insights in Azure Monitor.
D.Azure Machine Learning studio 'Endpoints' monitoring tab.
AnswerC

Container Insights provides the necessary metrics to identify node-level resource contention in AKS.

Why this answer

Container Insights (part of Azure Monitor) provides integrated monitoring for AKS, allowing you to correlate pod restarts and node resource exhaustion with application errors.

263
Multi-Selecteasy

Your team is evaluating Azure Container Apps versus Azure Kubernetes Service (AKS) for hosting containerized AI workloads. Which TWO characteristics are advantages of Azure Container Apps over standard AKS? (Choose two.)

Select 2 answers
A.Requirement to manage custom CNI overlay networking routing tables manually
B.Simplified container management without direct exposure or management of Kubernetes master nodes
C.Mandatory manual configuration of KEDA controllers and Ingress controllers
D.Built-in support for scaling automatically down to zero replicas when idle
E.Complete low-level administrative access to kernel modules and cluster root certificates
AnswersB, D

Container Apps abstracts Kubernetes complexity, removing the need to manage control planes.

Why this answer

Azure Container Apps provides simplified serverless management without exposing Kubernetes control plane complexity and offers native scale-to-zero capabilities.

264
MCQhard

An enterprise AI application experiences intermittent HTTP 429 (Too Many Requests) errors when calling Azure OpenAI Service during peak hours. You need to analyze the exact token consumption trends and throttling patterns over the past week. Where should you look first in Azure Monitor?

A.Azure Monitor Metrics explorer, charting 'Processed Tokens' and 'Token Generation' metrics filtered by deployment name
B.Log Analytics workspace querying the AzureActivity table for throttling events
C.Azure Cost Management and Billing dashboard for daily spend trends
D.Application Insights availability tests configured with a 5-minute frequency
AnswerA

Correct. Monitoring consumed tokens against provisioned throughput units (PTUs) or tokens-per-minute (TPM) limits via metrics helps diagnose 429 errors.

Why this answer

Metrics explorer in Azure Monitor allows you to query metrics such as 'Processed Prompts' and 'Tokens' for Azure OpenAI, categorized by dimensions like model deployment name, to diagnose throttling.

265
Multi-Selectmedium

You are designing an MLOps pipeline on Azure Kubernetes Service (AKS) for a computer vision model. You need to configure GPU sharing among multiple inference pods on the same node to optimize cost. Which TWO actions should you take? Each correct answer presents part of the solution.

Select 2 answers
A.Set the pod priority class to system-node-critical.
B.Enable GPU time-slicing or NVIDIA Multi-Instance GPU (MIG) configuration.
C.Deploy the KEDA scaler with an Azure Queue trigger.
D.Configure the Azure CNI plugin for dynamic IP allocation.
E.Install the NVIDIA GPU Operator on the AKS cluster.
AnswersB, E

Time-slicing or MIG allows multiple containers to concurrently execute workloads on a single physical GPU device.

Why this answer

To achieve GPU sharing in AKS, you can utilize the NVIDIA GPU Operator alongside Kubernetes device plugins or time-slicing features, which enable multiple containers to share a single physical GPU.

266
Multi-Selecthard

You are investigating performance degradation in an Azure Machine Learning inference pipeline. Which TWO of the following steps are appropriate for diagnosing the bottleneck? (Choose TWO)

Select 2 answers
A.Change the SKU of the underlying compute cluster to a lower tier.
B.Restart the Azure Machine Learning workspace to clear cache.
C.Use Application Insights to examine the 'Dependencies' and 'Requests' logs for duration outliers.
D.Delete and recreate the deployment without checking logs.
E.Review the 'Logs' tab in the Azure Machine Learning endpoint overview to check for container-level errors.
AnswersC, E

This helps identify which specific step or service call is causing the latency.

Why this answer

Analyzing telemetry through Application Insights and checking endpoint logs in the workspace are the standard methods to isolate performance issues.

267
MCQhard

You are debugging a Python application integrated with Application Insights. You notice that custom telemetry events generated in a background worker thread are not appearing in Application Insights. What is the most likely cause of this issue?

A.Log Analytics ingestion rate limiting always drops multi-threaded telemetry
B.The application terminated or the worker thread exited before the telemetry client buffer was flushed
C.Application Insights automatically blocks all telemetry generated outside of HTTP request threads
D.The instrumentation key was incorrectly formatted as a GUID
AnswerB

Correct. Telemetry is buffered asynchronously; missing explicit flushes or shutdown handling causes telemetry loss when worker threads terminate.

Why this answer

Application Insights telemetry client buffers messages in memory and flushes them asynchronously. If the background worker thread exits or the application shuts down without explicitly calling `flush()`, telemetry items in the buffer are lost.

268
Multi-Selectmedium

When managing Azure Container Registry (ACR), administrators can use ACR Tasks to automate tasks. Which TWO scenarios are valid use cases for ACR Tasks? (Choose two.)

Select 2 answers
A.Triggering container image rebuilds automatically when a base image is updated
B.Providing a managed Kubernetes API control plane
C.Executing automated container vulnerability scans directly inside registry storage
D.Running a persistent, multi-node enterprise database cluster inside ACR
E.Automatically building container images when code is committed to a GitHub repository
AnswersA, E

ACR Tasks monitors base image dependencies and rebuilds dependent images when updates occur.

Why this answer

ACR Tasks supports automated container image builds on source code commits (CI) and automated OS/framework patching base image updates.

269
Multi-Selecthard

You are designing a disaster recovery and backup strategy for Azure Cosmos DB for NoSQL storing vector embeddings. Which THREE backup options or capabilities are available? (Choose three)

Select 3 answers
A.Restoring backed-up data to a new Azure Cosmos DB account
B.Direct SQL Server .bak file restoration
C.Periodic backup mode with customizable retention and backup intervals
D.Continuous backup mode with point-in-time restore (up to 30 days)
E.Manual file export via FTP into local VM storage
AnswersA, C, D

Restores create a new Cosmos DB account containing the restored data.

Why this answer

Azure Cosmos DB provides continuous backups (point-in-time restore) and periodic backups, allowing restoration to a new account.

270
MCQhard

You are troubleshooting a connection issue where an on-premises worker application cannot connect to an Azure Event Hubs namespace over AMQP port 5671 due to strict corporate firewall rules. Only port 443 outbound traffic is allowed. How can you configure the client connection to bypass this restriction?

A.Deploy an Azure VPN Gateway on the local workstation.
B.Configure the Event Hub client connection to use AMQP over WebSockets (port 443).
C.Switch the connection string to use an Event Grid webhook protocol.
D.Open an Azure Support ticket to whitelist port 5671 on the Azure backbone router.
AnswerB

AMQP over WebSockets encapsulates AMQP frames inside standard HTTPS (port 443) web socket traffic, bypassing strict outbound port blocks.

Why this answer

Azure Event Hubs and Service Bus client libraries support AMQP over WebSockets (port 443), allowing clients to tunnel AMQP traffic through HTTPS firewalls.

271
MCQeasy

Which Azure AI Search API parameter allows you to specify a vector query alongside traditional keyword search terms when executing a hybrid search?

A.vectorQueries
B.embeddingQuery
C.knnQuery
D.vectorSearchParam
AnswerA

vectorQueries is the parameter used to supply vector queries in search requests.

Why this answer

In Azure AI Search queries, the vectorQueries parameter is used to pass vector embedding query objects during search requests.

272
Multi-Selectmedium

Which THREE features are common to both Azure AI Search and Azure Cosmos DB for NoSQL when performing vector search?

Select 3 answers
A.Ability to filter results based on non-vector document properties.
B.Support for semantic re-ranking (Semantic Ranker).
C.Support for HNSW indexing algorithms.
D.Automatic translation of SQL to Vector queries.
E.Similarity search based on vector distance metrics.
AnswersA, C, E

Both services allow for pre-filtering or post-filtering based on metadata.

Why this answer

Both services support HNSW-based indexing, allow for filtering metadata alongside vector searches, and provide similarity search functions.

273
MCQmedium

You have a large AI model file (5GB) that needs to be loaded into your container at startup. What is the recommended way to handle this?

A.Download the model via `curl` at runtime.
B.Embed the model in the container image.
C.Use a base64 encoded string in the environment variable.
D.Mount the model from an Azure File Share.
AnswerD

Mounting external storage is the standard for large assets.

Why this answer

Mounting the file from Azure Blob Storage or an Azure File Share avoids bloating the container image and speeds up deployment.

274
MCQhard

You are architecting a real-time anomaly detection system. Sensor data is ingested into an Azure Event Hub. Due to intermittent network issues between the IoT gateway and Azure, duplicate events are occasionally sent. You need downstream Stream Analytics to process each unique event exactly once within a sliding window. Which Event Hub property should you leverage?

A.Service Bus Duplicate Detection History Window
B.Partition Key
C.Capture Window Size
D.Event Grid Advanced Filtering
AnswerB

Assigning a partition key ensures that events with the same key always land on the same partition, enabling stateful stream processing and deduplication.

Why this answer

Event Hubs supports publisher journaling and offset tracking, but for exact-once processing or deduplication, Stream Analytics utilizes the Event Hub Enqueued Time and Partition ID along with watermark definitions, or you can leverage Event Hubs partition keys to ensure identical events go to the same partition.

275
MCQmedium

You are designing an enterprise messaging solution using Azure Service Bus. You need to ensure that messages published within a transaction (involving multiple messages sent to different queues) either all succeed or all fail together. What feature should you use?

A.Storage Account atomic blob leases
B.Event Grid atomic batch publishing mode
C.Event Hubs transaction coordinator checkpointing
D.Service Bus client transaction scope (TransactionScope in .NET)
AnswerD

Service Bus supports ambient transactions via TransactionScope, ensuring atomic send/receive operations across entities within the same namespace.

Why this answer

Azure Service Bus supports transactions using .NET TransactionScope or SendVia features, allowing multiple messages to be sent transactionally within the same messaging namespace.

276
MCQhard

You are reviewing security logs in Azure Key Vault and notice unexpected access attempts from an unrecognized IP address. You need to immediately revoke all active Azure Active Directory tokens issued to a specific compromised user or service principal across your Azure AI applications. What action should you take?

A.Restart the Azure portal browser session
B.Revoke user refresh tokens using Azure AD PowerShell (Revoke-AzureADUserAllRefreshToken) or Microsoft Entra admin center
C.Change the Azure subscription display name
D.Delete the Azure Monitor Log Analytics workspace
AnswerB

Correct. Revoking refresh tokens invalidates all active sessions and tokens immediately across all connected applications.

Why this answer

Revoking refresh tokens in Azure Active Directory forces all active sessions and tokens for the specified user or service principal to become invalid immediately.

277
MCQeasy

You need to inspect the environment variables and configuration settings of a running container group in Azure Container Instances. Which Azure CLI command should you use?

A.az container exec --exec-command env
B.az aks inspect
C.az container list-secrets
D.az container show --resource-group myRG --name myContainer
AnswerD

az container show outputs the detailed configuration properties of the container instance.

Why this answer

The 'az container show' command returns the full JSON representation of a container instance, including environment variables and settings.

278
Multi-Selectmedium

When configuring vector search in Azure Cosmos DB for NoSQL, which TWO properties must be defined within the container's vector embedding policy? Choose two.

Select 2 answers
A.Container partition key definition
B.BM25 k1 and b tuning parameters
C.Replication lag threshold
D.Path (the JSON property containing the vector array)
E.DataType (e.g., float32) and Dimensions (e.g., 1536)
AnswersD, E

The path specifies which property in the JSON document holds the embedding array.

Why this answer

In Azure Cosmos DB for NoSQL, the vector embedding policy requires defining paths (properties containing vectors) and embedding details such as datatype, dimensions, and distance function.

279
Multi-Selecthard

You are designing an enterprise search architecture that combines Azure AI Search and Azure OpenAI. Which THREE strategies help optimize hybrid search relevance and retrieval quality? Choose three.

Select 3 answers
A.Tune HNSW parameters (m and efSearch) based on recall and latency trade-offs
B.Implement Reciprocal Rank Fusion (RRF) to combine lexical and vector ranks
C.Enable Azure AI Search semantic ranker for deep learning re-ranking
D.Disable all OData filters to maximize vector recall
E.Store all embeddings as uncompressed plaintext strings in Blob Storage
AnswersA, B, C

Tuning HNSW parameters ensures optimal balance between vector search recall and search latency.

Why this answer

To optimize hybrid search relevance, practitioners use Reciprocal Rank Fusion (RRF), semantic ranking (L2 re-ranking), and proper vector normalization/tuning.

280
MCQhard

You are troubleshooting a high memory consumption issue on an Azure AI Search service hosting large vector indexes. Which index configuration choice contributes most directly to high memory pressure when using the HNSW algorithm?

A.Storing raw uncompressed vectors in memory for HNSW graph traversal
B.Configuring high-frequency indexers
C.Enabling semantic ranking on text fields
D.Using exhaustiveKnn instead of HNSW
AnswerA

HNSW requires keeping the vectors and graph in RAM for low-latency distance computations, leading to high memory utilization.

Why this answer

HNSW indexes must load the entire vector graph structure into RAM to execute fast approximate nearest neighbor searches, making memory sizing critical.

281
MCQhard

You are integrating Azure Event Hubs with Apache Spark on Azure Databricks for real-time AI model scoring. You need to configure the Spark connector to read from all partitions of the Event Hub efficiently without missing records or creating duplicate processing bottlenecks. Which consumer property is critical to configure correctly?

A.Setting the Event Grid webhook handshake timeout to 120 seconds.
B.A dedicated Consumer Group and correct starting offset configuration (e.g., startingPosition).
C.Enabling AMQP 1.0 web socket transport mode across all Spark worker nodes.
D.The Service Bus shared access policy connection string with Manage rights.
AnswerB

A dedicated consumer group ensures Spark maintains its own independent read offsets without conflicting with other consumers.

Why this answer

When using the Azure Event Hubs Spark connector, you must configure the Consumer Group and ensure offset management (starting position like `earliest` or `latest`) is correctly set.

282
MCQhard

You are configuring secure image signing and verification for your AI containers using Azure Container Registry and Notation. Which feature enables cryptographically signed container images?

A.ACR Signature Verification / Microsoft Defender artifact signing with Notation
B.Azure Key Vault managed HSM key rotation
C.ACR Georeplication sync tokens
D.Docker Content Trust (Notary v1)
AnswerA

Notation (COSE standard) enables signing and verifying container images stored in ACR.

Why this answer

ACR supports container signing using Microsoft SignWorks and the Notation CLI tool to verify image integrity before deployment.

283
Multi-Selectmedium

Your enterprise application architecture incorporates Azure Cosmos DB for NoSQL as the primary operational data store and Azure AI Search as the vector index for semantic search. Which THREE mechanisms can you use to keep the Azure AI Search vector index synchronized with changes in Azure Cosmos DB?

Select 3 answers
A.Configure an Azure AI Search indexer connected to an Azure Cosmos DB change feed data source.
B.Use Azure Event Grid to capture container mutation events and orchestrate indexing updates.
C.Deploy an Azure Function triggered by the Azure Cosmos DB change feed to push document inserts and updates directly to the Azure AI Search REST API.
D.Execute a full database table scan and drop-rebuild of the search index every 5 minutes using Azure Data Factory batch pipelines.
E.Enable native real-time bidirectional memory-mapped replication between Azure Cosmos DB database partitions and search service replicas.
AnswersA, B, C

Azure AI Search provides a native indexer for Azure Cosmos DB for NoSQL that tracks changes automatically using the change feed.

Why this answer

Syncing Azure Cosmos DB with Azure AI Search can be achieved natively using Azure Cosmos DB change feed integration via Azure Functions, using built-in Azure AI Search indexers configured with an Azure Cosmos DB change feed data source, or via custom event-driven pipelines using Azure Event Grid.

284
Multi-Selecthard

You are configuring network security for an enterprise Azure Service Bus Premium namespace. Which THREE networking features can you configure to secure the namespace? (Choose three)

Select 3 answers
A.Private endpoints using Azure Private Link
B.Event Grid MQTT broker certificate authentication
C.IP firewall rules
D.Virtual Network (VNet) service endpoints
E.Blob storage container access policies
AnswersA, C, D

Private endpoints assign a private IP address from your VNet to the Service Bus namespace.

Why this answer

Service Bus Premium supports Virtual Network service endpoints, private endpoints via Azure Private Link, and IP firewall rules. Event Grid MQTT and Express storage are not Service Bus features.

285
Multi-Selecthard

Your application consumes messages from an Azure Service Bus queue using PeekLock mode. Which THREE actions can your worker code perform on a received message object? Each correct answer represents a valid Service Bus SDK operation.

Select 3 answers
A.CommitTransactionAsync() directly on the message instance
B.CaptureToBlobAsync() to archive the message to storage
C.DeadLetterAsync() to move the message to the dead-letter sub-queue
D.AbandonAsync() to release the lock and make the message available again immediately
E.CompleteAsync() to delete the message from the queue successfully
AnswersC, D, E

DeadLetterAsync routes the message to the dead-letter queue for inspection.

Why this answer

Under PeekLock mode, workers can Complete, Abandon, or Dead-letter a message.

286
MCQmedium

You are managing multiple containerized AI models in AKS. You want to implement a service mesh to handle traffic splitting and mTLS. Which tool should you integrate?

A.Calico.
B.Azure Application Gateway Ingress Controller (AGIC).
C.Istio.
D.Azure Load Balancer.
AnswerC

Istio provides the traffic splitting and mTLS required.

Why this answer

Istio is the standard service mesh supported for AKS to provide traffic management and security.

287
MCQmedium

Your containerized AI application needs to access sensitive API keys. What is the most secure way to provide these to your application in Azure Container Apps?

A.Store them in environment variables in the YAML file.
B.Hardcode them in the application code.
C.Store them in a sidecar container.
D.Use Azure Key Vault references.
AnswerD

Key Vault references keep secrets out of the configuration and inject them at runtime.

Why this answer

Azure Key Vault references allow secrets to be injected securely into the container environment.

288
MCQmedium

You are running an AI inference workload in an Azure Kubernetes Service (AKS) cluster. The pods require access to an Azure Machine Learning workspace data store via managed identity without storing credentials in code. Which Kubernetes feature should you configure?

A.Azure CNI Overlay
B.Kubernetes Secrets CSI driver
C.Node-level Managed Identity
D.Azure AD Workload Identity
AnswerD

Azure AD Workload Identity integrates Kubernetes service accounts with Azure AD managed identities securely.

Why this answer

Azure AD Workload Identity enables Kubernetes service accounts to securely connect to Azure cloud resources using Azure AD managed identities.

289
MCQeasy

Your team is building an AI solution that processes thousands of images uploaded to Azure Blob Storage daily. Each image upload must trigger an immediate Azure Function to invoke Azure Cognitive Services for metadata extraction. Which event-driven messaging service should you choose for this near real-time pub/sub architecture?

A.Azure Service Bus Topics
B.Azure Storage Queues
C.Azure Event Hubs
D.Azure Event Grid
AnswerD

Event Grid is built for reactive event notification with low latency and high scale, perfectly suited for blob storage triggers.

Why this answer

Azure Event Grid is designed for reactive programming and near real-time event routing, making it ideal for triggering serverless functions when blob storage events occur.

290
MCQeasy

You need to prevent accidental deletion of a production Azure OpenAI resource that contains critical customer deployment configurations. Which Azure resource lock configuration should you apply?

A.CanNotDelete resource lock
B.ReadOnly resource lock
C.Azure Policy deny assignment
D.Network Security Group deny rule
AnswerA

Correct. The CanNotDelete lock prevents accidental deletion while allowing authorized modifications.

Why this answer

Applying a 'CanNotDelete' resource lock prevents any user from deleting the resource while still allowing read and modify operations.

291
Multi-Selecthard

You are optimizing an enterprise search architecture using Azure AI Search. Which THREE mechanisms help control latency and resource consumption during heavy vector query loads? (Choose three)

Select 3 answers
A.Tuning HNSW efSearch parameter to balance recall speed and latency
B.Disabling caching and increasing index document count per partition beyond limits
C.Applying scalar quantization to compress vectors and reduce memory overhead
D.Running exhaustive k-NN searches for every query by default
E.Scaling out search replicas to distribute query traffic across nodes
AnswersA, C, E

Lowering efSearch (if slight recall drop is acceptable) reduces query latency.

Why this answer

To control latency and resource consumption during heavy vector loads, you can scale out replicas, apply scalar quantization, and tune HNSW efSearch parameters.

292
Multi-Selecthard

You are designing the data storage and indexing strategy for a multi-tenant AI search solution on Azure. Which TWO architectural practices should you implement to optimize vector search performance and tenant isolation in Azure AI Search?

Select 2 answers
A.Disable the HNSW algorithm and rely exclusively on exhaustive brute-force search across all tenant partitions.
B.Store all tenants' embeddings in a single unpartitioned vector field without metadata tags to maximize index density.
C.Implement security trimming by appending OData filter expressions (e.g., tenantId eq 'tenant-1') to every vector search query.
D.Store raw embeddings exclusively in Azure Blob Storage and perform client-side cosine similarity calculations for all queries.
E.Provision dedicated Azure AI Search indexes or service tiers for enterprise tenants requiring strict isolation and predictable vector search latency.
AnswersC, E

OData filters applied alongside vector queries ensure row-level security and tenant data isolation within a shared index.

Why this answer

Using separate indexes or indexers per tenant or enforcing security trimming via filter expressions are standard practices for multi-tenancy in Azure AI Search. Additionally, configuring appropriate HNSW parameters (m, efConstruction) ensures query speed and recall balance.

293
MCQeasy

Which Azure service provides cloud-scale vector search backed by either HNSW or DiskANN algorithms alongside managed NoSQL capabilities?

A.Azure Logic Apps
B.Azure Cosmos DB for NoSQL
C.Azure Functions
D.Azure Virtual Machines
AnswerB

Azure Cosmos DB for NoSQL supports vector search.

Why this answer

Azure Cosmos DB for NoSQL provides managed NoSQL storage with native vector search powered by DiskANN.

294
Multi-Selectmedium

You are configuring vector search options in Azure Cosmos DB for NoSQL. Which TWO distance metrics are supported when defining a vector embedding policy? (Choose two)

Select 2 answers
A.hamming
B.manhattan
C.jaccard
D.euclidean
E.cosine
AnswersD, E

Euclidean distance is supported in Azure Cosmos DB vector search.

Why this answer

Azure Cosmos DB for NoSQL supports cosine, dotproduct, and euclidean distance metrics for vector similarity search.

295
MCQmedium

You are optimizing an AI model container image size. Which technique is most effective for reducing the footprint of an image based on a large Python deep learning framework?

A.Implement multi-stage Docker builds.
B.Enable ACR Georeplication.
C.Store model weights as image layers.
D.Use the 'latest' tag for all base images.
AnswerA

This discards build-time compilers and source code, significantly shrinking the image.

Why this answer

Multi-stage builds allow you to keep only the runtime dependencies in the final image, excluding build-time tools.

296
Multi-Selecteasy

You are designing an operational dashboard in Azure Monitor. Which TWO visualization components can you include in an Azure Workbook? (Choose two)

Select 2 answers
A.Azure SQL database table creation scripts (DDL)
B.KQL query result grids and charts
C.Azure Key Vault plain-text master password files
D.Docker container image binary layers
E.Azure Monitor metric charts
AnswersB, E

Correct. Workbooks render KQL log query results into tables and charts.

Why this answer

Azure Workbooks support KQL query grids/charts and metric charts.

297
MCQmedium

You are troubleshooting an AI inference container in Azure Container Apps that fails to start because it cannot pull the base image from Azure Container Registry. Authentication fails with an unauthorized error. What is the recommended way to grant the Container App access to ACR?

A.Hardcode the admin username and password into environment variables
B.Configure a system-assigned managed identity on the Container App and assign the AcrPull role on ACR
C.Expose the ACR endpoint publicly without authentication
D.Attach an Azure Storage Account SAS token to the container environment
AnswerB

Managed identities eliminate stored credentials and securely authenticate Container Apps to ACR.

Why this answer

Enabling a managed identity on the Container App and granting it the AcrPull role on the Azure Container Registry is the secure, modern authentication approach.

298
MCQmedium

You are deploying a distributed PyTorch training job across multiple nodes in an Azure Kubernetes Service (AKS) cluster. Which mechanism should you use to facilitate high-speed, low-latency inter-node communication required for gradient synchronization?

A.Kubenet basic networking with dynamic NAT
B.Node placement with GPU-optimized VM series (such as NDm A100 v4) and InfiniBand support
C.Azure Application Gateway Ingress Controller (AGIC)
D.Standard Azure CNI with Network Policies enabled
AnswerB

Using specialized GPU VMs equipped with SR-IOV and InfiniBand provides the high throughput needed for distributed gradient sync.

Why this answer

Distributed deep learning frameworks require low-latency networks; InfiniBand or high-performance SR-IOV enabled GPU VMs (like ND-series) with MPI are standard. In AKS, Azure CNI with appropriate networking and node selection enables high-performance setups.

299
Multi-Selecteasy

You want to ensure that your Azure AI infrastructure costs are properly attributed to different business departments. Which TWO features should you configure? (Choose two)

Select 2 answers
A.Azure Key Vault cryptographic keys
B.Azure resource tags for department identification (e.g., Department=Finance)
C.Cost Analysis grouping and filtering by tag name
D.Application Insights availability probes
E.Azure Firewall network rules
AnswersB, C

Correct. Tags allow filtering and grouping costs by department in Cost Management.

Why this answer

Resource tagging and Cost Management export/cost views help organize and attribute costs by department.

300
MCQeasy

You have an AI model container that takes 10 seconds to load weights into memory upon startup. Users report HTTP 503 errors immediately after deployment because traffic is routed to the container before it is ready. Which probe should you configure?

A.Liveness probe
B.Startup probe
C.Resource quota probe
D.TCP socket probe
AnswerB

A startup probe tells the orchestrator that the application is still initializing, preventing premature traffic routing.

Why this answer

A startup probe in Kubernetes or Container Apps delays liveness and readiness checks until the application has fully initialized.

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