AI-103 Practice Exam 2 — 20 Questions

Question 1

You are training a Custom Vision object detection model. You have 1,000 images, but only 200 of them contain the rare object you want to detect. The other 800 images are background images without the object. What impact will this class imbalance have on training, and how should you address it?

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

Accepted Answer

Ensure that you have tagged at least 15 bounding boxes per tag; having background images is beneficial for reducing false positives.. While having background (negative) images helps reduce false positives, an extreme imbalance or lack of positive bounding box instances per image can hinder learning. Ensuring sufficient positive instances (at least 15 per tag, preferably more for robust object detection) is essential.

Answer

Reduce training iteration time to 1 minute.

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Convert the project to multilabel classification.

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Delete all 800 background images immediately, as they will cause training to fail.

Question 2

You are building an agentic workflow in Microsoft Foundry using Semantic Kernel. The agent needs to call an external enterprise API to retrieve customer billing data. The API requires OAuth 2.0 user-delegated tokens. How should you configure the plugin registration to securely pass the user context?

Accepted Answer

Configure the Semantic Kernel plugin using an OpenApiFunctionDefinition that accepts a dynamic context parameter mapped to the incoming authorization header.. User-delegated authentication in Semantic Kernel plugins requires leveraging the active turn context to propagate the user's OAuth 2.0 token through the kernel invocation pipeline.

Answer

Disable authentication on the external API and rely solely on network-level Azure VNet integration.

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Store the user's password in Azure Key Vault and have the plugin retrieve it on every tool call.

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Hardcode the service account client secret inside the plugin configuration settings.

Question 3

You are configuring a connection between Azure AI Foundry and an Azure OpenAI resource. Which credential type is recommended for secure, keyless authentication between services in Azure?

Accepted Answer

Managed Identity with Azure RBAC. Managed identities (system-assigned or user-assigned) provide secure, keyless authentication between Azure resources without storing credentials in code or configuration files.

Answer

Account primary access key stored in application configuration

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Hardcoded personal access tokens (PAT)

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Anonymous public access with IP whitelisting

Question 4

You are building an image search engine. You want to extract visual feature tags from user photos using Azure AI Vision 4.0. Which visual feature should you request?

Accepted Answer

features=tags. The 'tags' visual feature extracts content-based tags or keywords representing objects, scenery, and concepts in the image.

Answer

features=read

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features=caption

Answer

features=smartCrops

Question 5

You are creating a Custom Vision project and need to select a domain. Your project involves classifying images of various food dishes. Which domain should you select to optimize model accuracy for food classification?

Accepted Answer

Food. Custom Vision offers domain-specific options such as Food, Retail, and Landmark to optimize neural networks for specific domains.

Answer

Landmark

Answer

General

Answer

Retail

Question 6

You are implementing an agentic workflow where an agent needs to search a vector database, inspect the retrieved results, and if the results are insufficient, reformulate the query and search again before answering. What agent design pattern are you implementing?

Accepted Answer

Self-Correction / Reflection pattern. Self-Correction / Reflection pattern allows agents to evaluate their intermediate outputs, detect gaps or failures, and take corrective action (like query re-writing) before finalizing their response.

Answer

Static zero-shot generation pattern

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Direct REST API proxy pattern

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Database indexing batch pattern

Question 7

You are designing an image analysis solution using Azure AI Vision 4.0. Which TWO visual features can be requested in a single Image Analysis API analyze request? (Choose two.)

Accepted Answer

tags. Image Analysis 4.0 supports combining multiple features such as 'tags', 'objects', 'read', 'caption', 'denseCaptions', 'smartCrops', 'people', and 'brands' in one analyze call.

Answer

Custom Vision Classification

Answer

Azure AI Face Analyze

Answer

Azure AI Document Intelligence Layout

Question 8

Which TWO factors directly influence the embedding quality and retrieval relevance in an Azure AI Search vector retrieval pipeline? (Choose two.)

Accepted Answer

The choice of embedding model (e.g., text-embedding-3-large vs text-embedding-3-small) and its dimensionality.. Embedding model choice and chunking strategy are primary determinants of vector retrieval quality.

Answer

The background color of the source documents in blob storage.

Answer

The font family used in the original PDF documents.

Answer

The client browser version used by the end user.

Question 9

Your enterprise requires strict security and governance over your Azure AI Vision resources. Which THREE security configurations should you implement? (Choose three.)

Accepted Answer

Configure Azure Private Endpoints to restrict access to your Virtual Network.. Enterprise security for Azure AI Services includes Private Endpoints, disabling local authentication in favor of Microsoft Entra ID (RBAC), and Key Vault integration for secrets.

Answer

Store API keys in plain text configuration files on public GitHub repositories.

Answer

Disable TLS encryption to improve API response latency.

Question 10

You are integrating Azure AI Vision into a serverless Azure Functions architecture. A batch of 500 high-resolution images needs to be processed. To prevent function timeouts and optimize throughput, how should you architect the function triggers?

Accepted Answer

Use a Blob Storage trigger to enqueue image messages onto an Azure Storage Queue, and configure Queue-triggered functions to process image analysis asynchronously.. Using Azure Blob Storage triggers combined with Azure Queue Storage and queue-triggered functions allows decoupled, scalable, asynchronous processing without function timeout bottlenecks.

Answer

Use Azure Logic Apps with a synchronous batch loop.

Answer

Trigger a single synchronous Azure Function that loops through all 500 images sequentially within a single HTTP request.

Answer

Configure an Azure Event Grid subscription to directly invoke Azure AI Vision REST endpoints without compute logic.

Question 11

You are optimizing an application that calls Azure AI Vision Read API. Which THREE techniques help reduce latency and improve overall throughput? (Choose three.)

Accepted Answer

Resize extremely large images to optimal dimensions while maintaining readability.. Throughput and latency improvements include resizing excessively large images before upload, using asynchronous polling efficiently without tight busy-wait loops, and co-locating resources.

Answer

Send uncompressed RAW bitmap data to bypass image decoding overhead.

Answer

Disable SSL/TLS verification to speed up TCP handshakes.

Question 12

Your enterprise application uses Azure AI Vision. Security policies require that all API keys are rotated every 30 days without causing application downtime. How should you manage the key rotation?

Accepted Answer

Switch client applications to Key 2, regenerate Key 1 in the Azure portal, switch clients to Key 1, and then regenerate Key 2.. Azure AI Services resources provide two keys (Key 1 and Key 2). To rotate keys without downtime, update applications to use Key 2, regenerate Key 1, update applications to use Key 1, and then regenerate Key 2.

Answer

Restart the Azure App Service hosting the client application.

Answer

Delete the Azure AI service resource and create a new one every 30 days.

Answer

Disable authentication on the resource during the rotation window.

Question 13

A user asks a question that triggers a 'Blocked' response from Azure AI Content Safety, even though the query seems harmless. What is the best step to investigate this?

Accepted Answer

Check the Content Safety logs in the Azure AI Foundry portal.. Viewing the logs in the Content Safety dashboard identifies which specific policy was triggered.

Answer

Change the system prompt to ignore safety.

Answer

Increase the model temperature.

Answer

Disable Content Safety for the deployment.

Question 14

You are developing a .NET application that interacts with Azure AI Vision Read API. Which TWO objects or properties would you inspect in the asynchronous response to retrieve extracted text lines and their confidence scores? (Choose two.)

Accepted Answer

text. The Read API response contains `analyzeResult.readResults` or `readResult.blocks`/`lines`, where each line has `text`, `boundingBox`, and `confidence` (in older versions) or text content.

Answer

dominantColors

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adultScore

Answer

smartCrops

Question 15

You want to extract gender and age attributes from human faces in photos. While Azure AI Face service handles facial analysis, which base Azure AI Vision 4.0 feature detects the presence and bounding boxes of people?

Accepted Answer

features=people. The 'people' feature in Image Analysis 4.0 detects humans and returns their bounding boxes.

Answer

features=objects

Answer

features=tags

Answer

features=read

Question 16

You are implementing a multi-turn conversational agent in Azure AI Foundry. As the conversation grows longer, API latency and costs increase significantly. Which strategy should you implement to manage the conversation history effectively?

Accepted Answer

Implement a sliding window history buffer combined with periodic summarization of older dialogue turns.. Summarizing older conversation turns or maintaining a sliding window of recent messages keeps token counts manageable.

Answer

Increase max_tokens to accommodate infinite history growth.

Answer

Disable the chat history array entirely and treat every turn as a standalone prompt.

Answer

Truncate the entire conversation history after every single user turn.

Question 17

Which TWO image file formats are natively supported by Azure AI Vision for image analysis? (Choose two.)

Accepted Answer

JPEG. Azure AI Vision supports standard web formats including JPEG, PNG, GIF, BMP, WEBP, and TIFF (for Read).

Answer

MP3

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MKV

Answer

WAV

Question 18

You are testing a Custom Vision model via the REST API. You receive an HTTP 400 Bad Request error with the message 'InvalidProjectId'. What is the most likely cause?

Accepted Answer

The project ID GUID in the request URL is incorrect or does not exist in this Custom Vision account.. The project ID GUID provided in the URL path is malformed, does not exist, or belongs to a different region/resource.

Answer

The image file format is invalid.

Answer

The subscription has reached its monthly quota limit.

Answer

The prediction key header was omitted.

Question 19

You are designing an agentic workflow in Azure AI Agent Service where multiple specialized agents need to collaborate to solve complex, multi-step financial analysis tasks. One agent manages the workflow state and decides which sub-agent to invoke next. What architectural pattern is best suited for this implementation?

Accepted Answer

Orchestrator-workers pattern, where a central agent dynamically assigns sub-tasks to specialized worker agents based on intermediate results.. The orchestrator-workers (or router) pattern uses a central orchestrator agent to manage state, evaluate progress, and delegate tasks to specialized worker agents.

Answer

Single monolithic prompt pattern, where all instructions are combined into one massive system prompt without multi-agent handoffs.

Answer

Map-reduce batch processing pattern, where all sub-agents execute independently in parallel without communication.

Answer

Static sequential pipeline, where agents execute strictly in a predefined linear order without conditional branching.

Question 20

Your team is implementing 'Human-in-the-loop' (HITL) for an agent that performs account updates. Which mechanism should you use to pause the agent and wait for approval?

Accepted Answer

Use a Prompt Flow 'Pause' node or custom state management logic.. In agentic workflows, an interruption or 'callback' mechanism allows the system to pause execution until human input is received.

Answer

Set a long timeout in the API call.

Answer

Increase the model's 'stop_sequences'.

Answer

Use an infinite loop in Python.