Microsoft Certified: Azure AI Cloud Developer Associate (AI-200) (AI-200) (AI-200) — Questions 76–150

You are developing a serverless AI notification workflow. When an AI model finishes training, it publishes an event to an Azure Event Grid topic. You want to trigger an Azure Logic App when this event occurs. Which Event Grid subscription event delivery schema and endpoint type should you select?

Your team needs to monitor when virtual machines are created or deleted across an entire Azure subscription so that an automated audit logger is triggered. Which Azure service should you use to capture these management plane operations?

You are designing a high-availability RAG architecture where search queries must succeed even if an entire Azure region experiences an outage. You deploy Azure AI Search in a primary region and a secondary region. How should client applications handle failover?

Your organization uses Azure Service Bus Topics. You need to ensure that messages published to a topic are delivered to subscriptions in a specific priority order (e.g., high priority messages processed before normal priority). What is the recommended Service Bus design pattern to achieve this?

You are optimizing an enterprise Azure Cosmos DB for NoSQL vector database. Which THREE administrative or architectural practices help ensure high availability and predictable performance? (Choose three)

Which Azure AI Search capability allows you to extract text from images and PDF documents during indexer execution using AI cognitive skills?

Your development team is planning to deploy a containerized natural language processing model to Azure Container Apps. Which TWO features are natively supported by Azure Container Apps for managing application lifecycle and traffic? (Choose two.)

You are setting up image builds for a multi-architecture (AMD64 and ARM64) AI model container using Azure Container Registry Tasks. Which command or feature should you use to build images for both architectures simultaneously?

You are designing an enterprise AI event-driven pipeline. Events from multiple SaaS applications are published to an Azure Event Grid domain. You need to ensure that a rogue tenant cannot exhaust the delivery throughput of other tenants. Which feature should you leverage?

You are optimizing the cost and performance of an Azure Event Hubs namespace processing millions of financial telemetry records daily. Traffic fluctuates heavily between business hours and night time. You want to ensure the namespace scales automatically without manual intervention while bounding maximum costs. What should you configure?

You are designing an application that stores vector embeddings in Azure Cosmos DB for NoSQL. You want to ensure that vectors are stored securely and that all data at rest is encrypted using customer-managed keys (CMK). How is this achieved in Cosmos DB?

Your application publishes events to an Azure Event Grid topic. You want to ensure that event publishers must present a valid shared access signature or key in the HTTP request header. Which header name does Event Grid expect for key-based authentication?

Your enterprise AI solution requires secure connectivity between Azure Event Grid and private webhook endpoints. Which THREE features support secure, private event delivery? Each correct answer represents a valid security feature.

You are integrating an external SaaS platform with your Azure AI architecture using Azure Event Grid. The external partner wants to ensure that the events they receive from your custom topic are authentic and originated from your Event Grid namespace. Which security feature should you advise the partner to verify?

Which TWO of the following steps are required to enable GPU support for a pod in AKS?

You have a large image that takes a long time to pull. You want to speed up deployment in AKS. Which feature should you enable?

Your organization requires that all cognitive service keys stored in Azure Key Vault are automatically rotated every 90 days. What native Azure Key Vault feature should you configure to accomplish this?

Which Azure service provides a fully managed NoSQL database with native vector search capabilities and turnkey multi-region replication?

Which TWO mechanisms can be used to monitor and optimize costs associated with Azure AI services?

Which THREE configuration steps are required when setting up a Private Endpoint for an Azure OpenAI resource?

Which THREE of the following are security best practices for container registries?

You are deploying a containerized machine learning inference service to Azure Container Apps. The model artifact is large (15 GB) and must be securely loaded during container startup. What is the most efficient way to mount this model data into the container app?

Your organization requires strict network isolation for all Azure AI services. Which TWO of the following networking features should you configure to prevent public internet exposure? (Choose two)

You are building an AI financial transactions ledger using Azure Service Bus. Each transaction must be processed strictly in order per account ID, and if a transaction fails, subsequent transactions for that specific account must wait until the issue is resolved. Which feature should you use?

You are configuring an Azure Kubernetes Service (AKS) cluster for enterprise AI workloads. Which THREE practices should you implement to enhance cluster security and isolation? (Choose three.)

Your enterprise application uses Azure Service Bus Topics to distribute orders to inventory and billing services. A transient database outage occurs in the billing service. You must ensure that billing messages are not lost and can be retried without interfering with the inventory service. What feature should you configure?

Your distributed AI system uses Azure Event Hubs with multiple partitions. A downstream machine learning model worker needs to guarantee that all inference requests originating from the same client session are processed by the exact same worker instance and partition in order to maintain conversation context. How should you ensure this?

When querying an Azure AI Search vector index using the REST API or SDK, what parameter specifies the number of nearest neighbors to retrieve?

You are designing an AI streaming architecture using Azure Event Hubs in a Dedicated cluster. You need to monitor capacity utilization to ensure the cluster does not exceed its allocated Processing Units (PUs). Which metric should you track in Azure Monitor?

Your team is running an AI copilot application that uses Azure OpenAI. To comply with data residency regulations, you need to verify that prompts and completions are processed entirely within a specific Azure region and that no data is persisted outside that region. Where can you verify regional data processing and residency commitments?

You are designing an enterprise search architecture on Azure that requires hybrid search capabilities. Which THREE components or features must be configured to successfully execute a hybrid query with semantic ranking in Azure AI Search? (Choose three)

You are integrating Azure OpenAI Service's text-embedding-ada-002 model with Azure AI Search. You want to automate the generation of embeddings directly inside the search service during data ingestion. Which component of Azure AI Search should you configure?

You need to store private AI model weights in an Azure Container Registry (ACR). Which authentication method follows the principle of least privilege for an AKS cluster to pull these images?

You are storing vector embeddings generated by Azure OpenAI in Azure Cosmos DB for NoSQL. Which built-in SQL function must you use within your query to compute vector distance when executing a similarity search?

Your enterprise AI solution runs on Azure Kubernetes Service (AKS) and connects to Azure OpenAI. You need to ensure comprehensive security across network, identity, and secrets. Which THREE of the following configurations should you deploy? (Choose three)

You are configuring a vector search profile in Azure AI Search. Which TWO parameters are required when defining an algorithm configuration using the HNSW algorithm? (Choose two)

You are building an AI search solution in Azure AI Search. You need to ensure that when documents are deleted from the primary database, they are also automatically removed from the search index without requiring manual API calls. How should you configure the indexer?

You are building an AI container image and need to minimize its final size to speed up deployment times. Which multi-stage build practice should you follow?

You are configuring rolling updates for an AI model inference service on AKS with zero downtime requirements. Which THREE deployment or pod configuration settings should you configure?

Your Azure Service Bus Premium namespace hosts critical AI request queues. Due to sudden spikes in inference requests, one of the queues experiences peak concurrency exceeding the maximum throughput units. You need to scale the namespace capacity automatically without manual intervention. What feature should you configure?

You are designing an enterprise event-driven architecture where microservices across different Azure subscriptions need to subscribe to domain events published by a central Order Service. Which Azure Event Grid architecture should you implement?

Your team is comparing Azure Event Grid, Event Hubs, and Service Bus for an AI platform integration project. Which THREE statements correctly contrast these services? Each correct answer is factually accurate.

Your application publishes events to an Azure Event Grid system topic. You want to filter events so that your webhook subscriber receives only events where the 'eventType' is 'Microsoft.Storage.BlobCreated'. Where should you configure this filter?

You are investigating performance degradation in an Azure AI Search vector search index. You need to run a Kusto Query Language (KQL) query in Application Insights to analyze dependency durations for search queries. Which table should you query?

You are troubleshooting high latency in an Azure AI Search vector indexing pipeline. The source data is stored in Azure Blob Storage. You notice that the 'skillset' execution is the bottleneck. Which configuration change is most likely to reduce ingestion time?

Your Azure AI application relies on Azure OpenAI and Azure AI Search. You need to troubleshoot a sudden surge in HTTP errors and latency. Which THREE of the following Azure Monitor / Application Insights features or tools should you use to diagnose the issue? (Choose three)

You are designing an asynchronous AI transaction pipeline using Azure Service Bus. You need to implement the Competing Consumers pattern where multiple worker instances process messages from a single queue without duplicating work. How does Azure Service Bus natively support this pattern?

You are deploying a custom PyTorch inference model container to Azure Container Apps. The application requires GPU acceleration for real-time video processing. Which Azure Container Apps environment configuration tier must you select to support this requirement?

You are deploying an enterprise AI text-analysis system using Azure Service Bus topics and subscriptions. Downstream processing requires strict message ordering and session-aware processing so that related conversational turns are processed sequentially by the same worker instance. Which property must you enable on the Service Bus subscription?

You are managing an Azure Service Bus Standard namespace. Your development team requests the ability to use Topics and Subscriptions. What action must you take to support this requirement?

Which THREE of the following options are important when configuring an AKS cluster for AI workloads?

You are deploying an Azure OpenAI Service resource and need to ensure that API keys are not used for authentication. Which configuration should you apply?

You are troubleshooting a performance issue in an AI application where dependency calls to Azure OpenAI take significantly longer during periods of high traffic. You want to query Log Analytics to find the 95th percentile (p95) duration of all dependency calls to Azure OpenAI over the past 24 hours. Which KQL query should you execute?

You are optimizing an Azure Event Hubs stream processing application in Python. Messages are being processed too slowly, and you notice high CPU utilization on the consumer instance due to synchronous network I/O. Which programming model should you adopt to maximize ingestion throughput?

You are building a chat application with memory using Azure AI Search. You want to retrieve previous conversation turns that are semantically similar to the current user prompt. What search mode should you use if you want to execute both a vector search and a keyword search simultaneously and combine their results?

You are designing an AI streaming pipeline using Azure Event Hubs. You need to inspect diagnostic logs and operational metrics to track incoming request rates, server errors, and throttling events across the namespace. Where should you configure this telemetry collection in the Azure Portal?

You are deploying a custom PyTorch model to Azure Container Apps. You need to ensure that the container utilizes GPU acceleration. Which configuration step is required in the Container App environment?

Which distance metric in Azure Cosmos DB vector search calculates the shortest straight-line segment between two points in a multi-dimensional space?

When configuring vector search in Azure AI Search, which TWO components are defined within the vectorSearch object of an index definition? (Choose two)

You are building an event-driven AI workflow where an Azure Event Grid event triggers an Azure Function. To ensure that the function handles the Event Grid handshake validation handshake correctly when the subscription is created, what must your function code include?

Your application publishes events to an Azure Event Grid custom topic. You need to inspect the operational health and delivery success metrics of your event subscriptions. Where should you view these metrics natively in the Azure Portal?

Which THREE of the following are components of a standard Dockerfile for an AI application?

You are running a GPU-intensive AI workload in AKS. You want to ensure the pods are scheduled only on nodes that have GPUs. How do you enforce this?

You are building an event-driven application where messages sent to an Azure Service Bus queue must not be processed until a specific date and time in the future (e.g., 2 hours from now). What property should you set on the outgoing message?

You are configuring an Azure AI Search index with vector fields. You need to ensure that filtering operations (such as matching a category ID) are executed with 100% precision before or alongside the vector search. Which vector filter mode should you choose?

You are using Azure OpenAI Service to generate embeddings for your documents before storing them in Azure Cosmos DB for NoSQL. The embedding model outputs vectors with a length of 1536. When defining the vector embedding policy in Cosmos DB, what value should you specify for the dimensions property?

You are configuring enterprise networking for an AKS cluster running sensitive AI models. Which THREE networking features should you implement for cluster security?

Which tool in Azure Portal allows you to test search queries, inspect index schemas, and view JSON responses for Azure AI Search?

You want to receive an email notification whenever monthly spending on your Azure OpenAI Service exceeds $5,000. Which Azure feature should you configure?

Which TWO of the following are valid ways to reduce the size of a container image?

Your containerized AI application requires a specific version of a kernel driver that is not installed on the AKS nodes. What is the most efficient way to manage this?

You are developing a serverless application using Azure Functions that reacts to Azure Blob Storage creation events. Which event schema format should your function code expect by default when triggered by an Event Grid subscription?

You need to secure an Azure Machine Learning workspace against data exfiltration. Which THREE configurations should you implement?

You are writing a query in Azure Cosmos DB for NoSQL that sorts results by vector similarity and also filters results by a category property. How must you order the clauses in your SQL statement?

You need to monitor the monthly spending on Azure OpenAI token consumption and receive an alert when expenditures exceed a predefined threshold. Which tool should you use?