AI-103 Practice Test 35 — 15 Questions

Question 1

You are managing an Azure AI Search service with multiple replicas and partitions. During peak query hours, latency increases significantly, and CPU utilization on the search service hits 95%. You need to scale the service to improve query throughput without altering the index data schema. Which scaling action should you take?

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

Accepted Answer

Increase the number of search replicas in the Azure portal or via CLI.. Scaling out by adding search replicas increases query throughput and high availability.

Answer

Increase the number of search partitions.

Answer

Disable semantic ranking to reduce compute overhead.

Answer

Migrate the service to the Free pricing tier.

Question 2

You are setting up diagnostic logging for an Azure OpenAI resource. Your security team mandates that all log streams must be exported in real-time to a security information and event management (SIEM) platform outside Azure, such as Splunk. Which destination should you configure in the Azure Monitor diagnostic setting?

Accepted Answer

Stream to an Azure Event Hub. Azure Monitor diagnostic settings can stream logs to Azure Event Hubs, which can then integrate with external SIEM platforms like Splunk.

Answer

Send to a Microsoft Sentinel workbook

Answer

Configure an Azure Automation runbook webhook

Answer

Archive to an Azure Storage account container

Question 3

You are designing a RAG solution using Azure AI Search and Azure OpenAI. Which TWO factors significantly influence the effectiveness of chunking documents during the ingestion phase? (Choose TWO)

Accepted Answer

Chunk size measured in tokens or characters. Chunk size (token length) and chunk overlap are critical parameters that balance retaining context while ensuring chunks fit within embedding model token limits.

Answer

Azure OpenAI model temperature setting

Answer

Azure API Management timeout duration

Answer

Virtual network subnet IP address range

Question 4

You are building an autonomous agentic workflow using Microsoft Foundry and Semantic Kernel. You need to ensure the agent operates safely and adheres to human oversight requirements. Which THREE design patterns should you apply? (Choose three.)

Accepted Answer

Implement human-in-the-loop approval gates before the agent executes high-impact tool actions such as database updates or financial transactions.. Human-in-the-loop approval gates, transaction boundaries, and rate limiting ensure safe agentic execution.

Answer

Grant the agent root-level administrative access to all cloud infrastructure services.

Answer

Allow the agent unlimited recursive tool execution without loop detection.

Question 5

You are implementing Retrieval-Augmented Generation (RAG) in Azure AI Foundry using Azure AI Search as the grounding data source. Which indexing feature should you enable to ensure the system can perform semantic ranking alongside traditional keyword search?

Accepted Answer

Semantic Search. Semantic ranking uses advanced language models to re-rank top search results, significantly improving the relevance of retrieved chunks for RAG pipelines.

Answer

Fuzzy Search

Answer

Lucene Standard Analyzer

Answer

Vector Normalization

Question 6

You are deploying an Azure AI resource and want to organize it logically within your Azure hierarchy. Which scope is the highest level at which you can assign Azure RBAC roles for your AI resource?

Accepted Answer

Management Group. The Management Group scope is higher than subscription, resource group, and resource scopes in Azure RBAC hierarchy.

Answer

Tenant root group

Answer

Resource Group

Answer

Azure AI Resource instance

Question 7

Your organization uses Azure Monitor diagnostic settings to route logs and metrics for all Azure AI services to a centralized Log Analytics workspace. You need to write a Kusto Query Language (KQL) query to find all incoming API requests that resulted in an HTTP 500 server error over the last 24 hours. Which table should you query?

Accepted Answer

AzureDiagnostics. Azure AI Services diagnostic logs are sent to the AzureDiagnostics table when using legacy resource-specific or workspace-based diagnostic settings.

Answer

AppTraces

Answer

AzureActivity

Answer

SecurityEvent

Question 8

You are planning the security architecture for an enterprise Azure AI multi-service account. Management requires that access to the resource be strictly controlled and audited. Which TWO security features or configurations should you implement? Each correct answer presents part of the solution.

Accepted Answer

Disable local authentication (API key access) and require Microsoft Entra ID authentication.. Disabling local auth enforces Entra ID, and Private Endpoints secure network traffic.

Answer

Store all admin API keys permanently in an unencrypted Azure Blob Storage container.

Answer

Grant the Contributor role to all end-user client applications.

Answer

Enable anonymous public access across all subnets.

Question 9

You are designing a monitoring solution for an Azure AI Document Intelligence resource that processes thousands of invoices daily. You need to track custom metric alerts when HTTP 429 (Too Many Requests) errors exceed a specific threshold over a 5-minute window. Where should you configure this alert?

Accepted Answer

Azure Monitor metric alerts. Azure Monitor metric alerts allow you to evaluate platform metrics such as 'Total Calls' or 'HTTP 429' against dynamic or static thresholds.

Answer

Application Insights availability web tests

Answer

Microsoft Defender for Cloud threat protection policies

Answer

Azure AI Studio diagnostics dashboard

Question 10

You are designing an automated pipeline to deploy Azure AI Custom Vision projects using Infrastructure as Code (IaC) with Bicep. You need to reference an existing Custom Vision training resource in your deployment script without hardcoding its endpoint URL or primary key. Which Bicep construct should you use to retrieve these properties dynamically?

Accepted Answer

The Bicep 'existing' keyword reference. The 'existing' keyword in Bicep allows you to reference an already deployed Azure resource to read its properties or output keys without recreating it.

Answer

The ARM template 'reference()' function inside a Bicep file

Answer

An Azure Key Vault secret data source

Answer

A Bicep module output parameter from a separate template

Question 11

You need to programmatically check the health status of an Azure OpenAI service endpoint. Which HTTP method and path suffix should your health-check script use?

Accepted Answer

GET /openai/operations. Azure AI Services provide standard health check endpoints to verify service availability.

Answer

DELETE /openai/keys/revoke

Answer

POST /openai/deployments/delete

Answer

PUT /openai/models/update

Question 12

You are building an agentic workflow in Azure AI Foundry using the Semantic Kernel framework. The agent needs to call external APIs dynamically based on user intent. Which component should you register with the kernel to enable this capability?

Accepted Answer

A plugin containing native or semantic functions. Plugins (formerly known as skills in Semantic Kernel) are used to encapsulate functions and APIs that the agent can call dynamically. Prompts, memory, and planners serve different roles in orchestration.

Answer

A system prompt template

Answer

A sequential planner instance

Answer

A custom memory store

Question 13

You are performing Retrieval-Augmented Generation. You need to ensure the retrieved data includes metadata for filtering. Where should this metadata be defined?

Accepted Answer

Azure AI Search Index Fields. Metadata is defined in the Azure AI Search index schema.

Answer

Environment variables

Answer

Prompt Flow input schema

Answer

System message content

Question 14

Your company is deploying an Azure OpenAI gpt-4 model. You need to implement model versioning so that when Microsoft releases a newer model version, you can test it on a small subset of user traffic before rolling it out to all users. Which feature should you configure?

Accepted Answer

Create multiple model deployments with different version tags and configure traffic splitting weights.. Azure OpenAI model deployments support setting weight allocations or creating multiple deployments for canary testing and traffic splitting.

Answer

Enable dynamic scaling rules in Azure Kubernetes Service (AKS).

Answer

Configure Azure Traffic Manager with two regional endpoints.

Answer

Use Azure Application Gateway URL path-based routing.

Question 15

Your company uses Azure Policy to enforce governance across all subscriptions. A developer attempts to deploy an Azure OpenAI resource in a region that is prohibited by corporate policy. What happens during the deployment?

Accepted Answer

The deployment is blocked and returns an error explaining the policy violation.. Azure Policy in 'Deny' mode blocks resource creation requests that violate policy rules.

Answer

Azure automatically moves the resource to an allowed region.

Answer

The resource is deployed successfully, but an email alert is sent to the administrator.

Answer

The deployment succeeds and automatically applies a remediation task.