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

Question 1

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.. Option A is correct because setting up a budget alert helps monitor spending. Option C is correct because choosing a tier that matches actual usage avoids overpaying. Option B is wrong because it does not reduce costs. Option D is wrong because deactivating resources would impact performance.

Answer

Migrate all services to a higher tier for better performance.

Answer

Deactivate unused resources to save costs.

Question 2

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.

Answer

Azure AI Language conversational language understanding (CLU)

Answer

Azure AI Document Intelligence (Form Recognizer)

Question 3

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. Option C is correct because 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 4

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

Accepted Answer

Enable diagnostic settings to audit usage and detect anomalies.. Option C is correct because 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 5

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.. Option C is correct because 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 6

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.. Option B is correct because 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 7

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. Option D is correct because 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 8

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 9

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.. Option D is correct because 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 10

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 11

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.. Option B is correct because 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 12

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

Answer

QnA Maker

Answer

Translator

Question 13

You are deploying an Azure AI Document Intelligence solution to process invoices. The solution must extract line-item details such as product code, quantity, and unit price. Which prebuilt model should you use?

Accepted Answer

prebuilt-invoice. The prebuilt-invoice model is specifically designed to extract line-item details such as product code, quantity, and unit price from invoices. It uses deep learning models trained on thousands of invoice samples to identify and extract structured data, including tables and line items, making it the correct choice for this requirement.

Answer

prebuilt-receipt

Answer

prebuilt-idDocument

Answer

prebuilt-layout

Question 14

You need to provision an Azure AI Language resource that supports custom text classification. Which pricing tier should you select to use the custom training feature?

Accepted Answer

Standard (S). The Standard (S) tier is the only pricing tier for Azure AI Language that supports custom text classification, including the custom training feature. The Free (F0) tier is limited to pre-built capabilities and cannot be used for training custom models, while Basic (B) and Premium (P) tiers do not exist for this service.

Answer

Free (F0)

Answer

Basic (B)

Answer

Premium (P)

Question 15

Your Azure AI Search solution uses a custom skill to call an external API. The skill runs locally but fails when deployed to the search service. What is the most likely cause?

Accepted Answer

The skill endpoint is not publicly accessible via HTTPS.. When a custom skill runs locally but fails after deployment to Azure AI Search, the most common cause is that the skill's endpoint is not publicly accessible via HTTPS. Azure AI Search indexers execute skills in the cloud and must be able to reach the external API over the internet using a secure HTTPS connection; localhost or HTTP endpoints will fail.

Answer

The skill's output field mappings are missing.

Answer

The skill's input field mappings are incorrect.

Answer

The indexer name is misspelled in the skillset.