AI-103 Timed Practice Test 3 — 10 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?

10 minute time limit — choose an answer to begin.

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.

Answer

Convert the project to multilabel classification.

Answer

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.

Answer

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

Answer

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

Answer

Hardcoded personal access tokens (PAT)

Answer

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

Answer

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

Answer

Direct REST API proxy pattern

Answer

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.