AI-102 Plan and manage an Azure AI solution Practice Test 6 — 15 Questions

Question 1

Refer to the exhibit. You are configuring an agent in Azure AI Foundry. The agent fails to start because the specified model is not available in the current Azure OpenAI resource. What should you do to resolve the issue?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Deploy the gpt-4-0613 model in the Azure OpenAI resource. The agent fails to start because the specified model (likely gpt-4-0613) is not deployed in the Azure OpenAI resource. In Azure AI Foundry, agents require an existing model deployment to invoke; you cannot use a model that hasn't been deployed. Option B correctly resolves this by deploying the required model in the Azure OpenAI resource.

Answer

Modify the system_prompt to include the model version

Answer

Change the connection_type to 'Weak'

Answer

Change the provider to 'AzureAI'

Question 2

You are planning a multi-region deployment of Azure AI services to ensure high availability and low latency for global users. You need to decide how to manage API keys and endpoint URLs across regions. What is the recommended approach?

Accepted Answer

Use Azure API Management to expose a single endpoint that routes to regional Azure AI services resources, each with its own key stored in Key Vault.. It combines Azure API Management as a unified gateway with regional Azure AI Services resources, each secured by individual keys stored in Azure Key Vault. This architecture provides global load balancing, regional failover, and centralized key management without exposing keys in application code. API Management can route requests based on latency or geography, ensuring high availability and low latency while Key Vault rotates keys securely.

Answer

Create separate Azure AI services resources per region and hardcode the keys in application configuration.

Answer

Create a single Azure AI services resource in one region and share the key across all applications.

Answer

Use Microsoft Entra ID authentication with managed identities and have each application call the region-specific endpoint directly.

Question 3

Refer to the exhibit. You are testing a conversational language understanding (CLU) application in Azure AI Language. You send the JSON request to the prediction endpoint and receive a 200 response but with an empty topIntent. What is the most likely cause?

Accepted Answer

The conversationItem is missing a required 'role' field.. B is correct because the JSON request for a conversational language understanding (CLU) application requires a 'role' field within the 'conversationItem' object when using the conversation analysis endpoint. Without this field, the service cannot properly interpret the utterance's context (e.g., user vs. system role), leading to a successful HTTP 200 response but an empty 'topIntent' as the model fails to classify the intent.

Answer

The projectName or deploymentName is incorrect.

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The language parameter is not supported.

Answer

The utterance text is too short.

Question 4

You are responsible for managing costs for Azure AI services used by multiple teams. You notice that costs are higher than expected. Which two actions should you take to reduce costs without impacting performance?

Accepted Answer

Set up budgets and alerts in Cost Management.. Setting up budgets and alerts in Cost Management (Option A) allows you to monitor spending and receive notifications, enabling proactive cost control without impacting performance. Evaluating and choosing the appropriate pricing tier based on usage patterns (Option C) ensures you are not over-provisioned, reducing costs while maintaining performance. Both actions reduce costs without impacting performance.

Answer

Migrate all services to a higher tier for better performance.

Answer

Deactivate unused resources to save costs.

Question 5

You are building a custom copilot using Microsoft Foundry. The copilot must answer questions based on internal documents stored in SharePoint. Which two components are essential for this solution?

Accepted Answer

Azure AI Search with a SharePoint indexer. Azure AI Search with a SharePoint indexer is essential because it ingests and indexes the internal documents from SharePoint, enabling full-text and vector search capabilities that the copilot uses to retrieve relevant content. This indexer automates the crawling of SharePoint sites and keeps the search index synchronized with document changes, which is critical for answering questions based on up-to-date internal data. Additionally, Azure OpenAI Service with a GPT model is necessary to generate natural language answers from the retrieved content, providing the conversational capability of the copilot. Together, they enable the 'retrieve-and-generate' pattern.

Answer

Azure AI Language conversational language understanding (CLU)

Answer

Azure AI Document Intelligence (Form Recognizer)

Question 6

Refer to the exhibit. You run the Azure CLI command to list deleted cognitive services accounts. You need to recover the 'myTextAnalytics' account. Which command should you use?

Accepted Answer

az cognitiveservices account recover --name myTextAnalytics --resource-group <rg> --location eastus. The Azure CLI command `az cognitiveservices account recover` is specifically designed to restore a soft-deleted Cognitive Services account within the 90-day retention period. The command requires the account name, resource group, and location to identify the deleted resource for recovery.

Answer

az cognitiveservices account create --name myTextAnalytics --resource-group <rg> --kind TextAnalytics --location eastus

Answer

az cognitiveservices account restore --name myTextAnalytics --resource-group <rg> --location eastus

Answer

az cognitiveservices account undelete --name myTextAnalytics --resource-group <rg> --location eastus

Question 7

Which TWO of the following are best practices for securing Azure AI services?

Accepted Answer

Enable diagnostic settings to audit usage and detect anomalies.. Enabling diagnostic settings for Azure AI services allows you to collect and analyze logs and metrics, which is essential for auditing usage, detecting anomalies, and monitoring security-related events. This aligns with the security best practice of maintaining visibility into service activity to identify potential threats or misconfigurations.

Answer

Expose endpoints publicly to simplify client access.

Answer

Disable diagnostic logging to reduce data exposure.

Answer

Share API keys among multiple applications for simplicity.

Question 8

Which TWO are valid techniques for reducing latency in an Azure AI solution that processes real-time chat messages?

Accepted Answer

Deploy Azure AI services in the same region as the application.. Deploying Azure AI services in the same region as the application minimizes network latency by reducing the physical distance data must travel. This ensures lower round-trip times (RTT) for real-time chat message processing, which is critical for maintaining responsiveness in interactive applications.

Answer

Use a larger, more accurate model for better performance.

Answer

Move the application to a different region to use a different pricing tier.

Answer

Increase the client-side timeout to allow for slower responses.

Question 9

Which THREE are required when planning to use Azure OpenAI Service for a generative AI application that must comply with responsible AI principles?

Accepted Answer

Implement content filters to block harmful outputs.. Azure OpenAI Service provides built-in content filtering that can block harmful outputs such as hate speech, violence, or self-harm. This is a core requirement for responsible AI compliance, as outlined in Microsoft's Responsible AI Standard, and must be configured to prevent the model from generating unsafe content.

Answer

Restrict the model to a maximum of 1000 tokens.

Answer

Enable rate limiting to prevent abuse.

Question 10

Refer to the exhibit. You are reviewing a Bicep template for deploying an Azure AI Language resource. After deployment, you need to ensure that the resource uses a private endpoint to block public access. Which additional resource should you include in the template?

Accepted Answer

A Private Endpoint resource linked to the Cognitive Services account. A Private Endpoint resource, when linked to the Cognitive Services account via the `privateLinkServiceId` property, assigns a private IP address from a virtual network to the Azure AI Language resource. This blocks all public access by default when the resource's `publicNetworkAccess` property is set to 'Disabled', ensuring traffic only flows over the Microsoft backbone network through Azure Private Link.

Answer

A service endpoint for Microsoft.CognitiveServices

Answer

A virtual network peering connection

Answer

A virtual network gateway

Question 11

You are planning to use Azure AI Vision to analyze images for a retail inventory management application. The solution must detect products on shelves and read expiration dates. Which two Azure AI Vision capabilities should you use?

Accepted Answer

Object Detection. Object Detection (B) is correct because it identifies and locates products on shelves by drawing bounding boxes around each detected item, which is essential for inventory tracking. Optical Character Recognition (OCR) (D) is correct because it extracts text from images, enabling the reading of expiration dates printed on product labels or packaging.

Answer

Image Captioning

Answer

Face Detection

Question 12

You are designing a solution that uses Azure AI Document Intelligence to extract data from invoices. The invoices are in various formats (PDF, TIFF, and JPEG) and languages. You need to ensure high accuracy for extraction. Which approach should you take?

Accepted Answer

Use a custom extraction model trained on a sample set of invoices covering all formats and languages.. Azure AI Document Intelligence’s custom extraction models are trained on your specific invoice samples, enabling the model to learn the unique layouts, fields, and languages present across PDF, TIFF, and JPEG formats. This approach directly addresses the need for high accuracy on varied formats and languages, as the model adapts to the exact patterns in your data rather than relying on a generic prebuilt model or brittle post-processing.

Answer

Use the prebuilt invoice model and configure language detection.

Answer

Use Azure AI Vision OCR to extract all text and then parse using regular expressions.

Answer

Convert all invoices to a single format (e.g., PDF) before processing.

Question 13

Your organization is migrating on-premises machine learning models to Azure. The models are used for real-time inference. You need to choose a service that provides managed endpoints with autoscaling and supports custom containers. Which service should you use?

Accepted Answer

Azure Machine Learning managed online endpoints. Azure Machine Learning managed online endpoints are the correct choice because they provide fully managed, autoscaling endpoints specifically designed for real-time inference. They support custom container images, allowing you to deploy any model packaged as a Docker container, and handle traffic splitting, health checks, and scaling automatically without managing underlying infrastructure.

Answer

Azure Functions

Answer

Azure Kubernetes Service (AKS) with manual scaling

Answer

Azure AI Services custom vision

Question 14

You are responsible for ensuring that an Azure AI solution complies with data residency requirements. The solution processes personal data from users in the European Union. You must ensure that data does not leave the EU region. Which two actions should you take?

Accepted Answer

Configure the Azure AI services to disable cross-region replication.. Disabling cross-region replication ensures that data processed by Azure AI services remains within the specified region and is not automatically replicated to another geographic location for redundancy or disaster recovery. This is a critical control for meeting data residency requirements, as it prevents data from leaving the EU region even during failover scenarios.

Answer

Use the global Azure AI services endpoint for simplicity.

Answer

Enable data encryption at rest and in transit.

Answer

Store data in Azure Blob Storage with hot tier.

Question 15

You are developing a chatbot that uses Azure AI Language to understand user intents. The chatbot must handle multiple languages and direct users to the appropriate support team based on the detected intent. Which Azure AI Language feature should you use?

Accepted Answer

Conversational language understanding (CLU). Conversational language understanding (CLU) is the correct feature because it is specifically designed to extract intents and entities from user utterances in a multi-language conversational context. CLU enables the chatbot to detect the user's intent (e.g., 'billing', 'technical support') and route them to the appropriate support team, while also supporting multiple languages through its language-agnostic model training and per-language project configurations.

Answer

Text Analytics

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QnA Maker

Answer

Translator