A startup wants to build a proof-of-concept search solution using Azure AI Search. They have no existing data and want to test vector search capabilities. What is the first step they should take?

Generate embeddings for sample data.

Create an index with a vector field.

Provision an Azure AI Search resource in their subscription.

Create a data source to connect to sample data.

An indexer that runs nightly has been failing for the past three days. The error log shows 'The request was throttled due to excessive load.' The data source is a large SQL database. You need to ensure the indexer completes successfully without changing the data. What should you do?

Reduce the indexer's batch size and run it on a schedule with lower concurrency

Increase the indexer's execution timeout

Switch to a Free tier search service

Delete and recreate the indexer

You are building a knowledge store for a research library. You need to store enriched documents as JSON in Blob Storage for downstream analytics, and also store a summary table in Azure Table Storage. The enrichment pipeline includes OCR and entity extraction. What should you configure?

Only object projections for both

File projections for the enriched document and object projections for the summary

Only table projections for both

Object projections for the full enriched document and table projections for the summary fields

A support portal uses Azure AI Search. Users search for phrases like "laptop won't start" and expect results ranked by meaning, not just keyword matches. The index contains a 'description' field. What should you do to improve relevance?

Increase the number of results returned by the query.

Enable semantic search on the index and set the 'description' field as a semantic configuration.

Add a wildcard query to the search request to match partial terms.

Use a filter to narrow results to the 'description' field only.

What is the primary purpose of provisioning an Azure AI Search resource in the Azure portal?

To store unstructured blobs in a scalable cloud storage account

To deploy a virtual machine that runs a custom search engine

To provide a fully managed relational database for storing search queries

To create a managed service that provides full-text search capabilities over indexed data

Microsoft Certified:Azure AI Engineer Associate

Domain 6Objective 1

Implement an Azure AI Search Solution AI-102 Practice Questions (Page 9)

Part of the Implement knowledge mining and information extraction solutions domain, which accounts for 15-20% of the AI-102 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~6–13 in this domain), expect 2–4 from this objective — we provide 55 practice questions to prepare you well beyond it. (estimate)

55questions here

11free pages

12concepts

15-20%of the exam

Questions 41–45

41application · easy
A startup wants to build a proof-of-concept search solution using Azure AI Search. They have no existing data and want to test vector search capabilities. What is the first step they should take?
Select an answer first
42expert · hard
An indexer that runs nightly has been failing for the past three days. The error log shows 'The request was throttled due to excessive load.' The data source is a large SQL database. You need to ensure the indexer completes successfully without changing the data. What should you do?
Select an answer first
43expert · hard
You are building a knowledge store for a research library. You need to store enriched documents as JSON in Blob Storage for downstream analytics, and also store a summary table in Azure Table Storage. The enrichment pipeline includes OCR and entity extraction. What should you configure?
Select an answer first
44application · medium
A support portal uses Azure AI Search. Users search for phrases like "laptop won't start" and expect results ranked by meaning, not just keyword matches. The index contains a 'description' field. What should you do to improve relevance?
Select an answer first
45foundation · easy
What is the primary purpose of provisioning an Azure AI Search resource in the Azure portal?
Select an answer first

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