What is the primary benefit of semantic search in Azure AI Search?

It allows searching across multiple indexes at once

It improves search relevance by understanding the intent and context of queries

It enables real-time indexing of data

It reduces the storage required for the index

Your company indexes support tickets. You need to classify each ticket into categories like 'billing' or 'technical'. No built-in Azure AI Search skill provides this. You deploy an Azure Function that accepts text and returns a category. How should you integrate this into the indexing pipeline?

Use the built-in Text Classification skill

Pre-process tickets with the Function and store results in a separate index

Call the Function from an indexer custom skill

Add the Function as a custom skill in the skillset and reference it in the indexer

What is the role of a skillset in Azure AI Search?

To define the schema of the search index

To connect to external data sources

To enrich data with AI capabilities during indexing

To execute search queries against the index

A legal firm indexes contracts. They want to extract parties, dates, and key clauses automatically. They also need to store the enriched data in Azure Table Storage for downstream reporting. You plan to use an Azure AI Search skillset. What should you include?

Only built-in OCR skills and an object projection

A custom skill for entity extraction and no knowledge store

Built-in entity recognition skills and a knowledge store with table projections

A custom skill for all extraction and a file projection

Microsoft Certified:Azure AI Engineer Associate

Domain 6Objective 1

Implement an Azure AI Search Solution AI-102 Practice Questions (Page 5)

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 21–25

21foundation · easy
What is the primary benefit of semantic search in Azure AI Search?
Select an answer first
22application · medium
Your company indexes support tickets. You need to classify each ticket into categories like 'billing' or 'technical'. No built-in Azure AI Search skill provides this. You deploy an Azure Function that accepts text and returns a category. How should you integrate this into the indexing pipeline?
Select an answer first
23foundation · easy
What is the role of a skillset in Azure AI Search?
Select an answer first
24application · medium
A legal firm indexes contracts. They want to extract parties, dates, and key clauses automatically. They also need to store the enriched data in Azure Table Storage for downstream reporting. You plan to use an Azure AI Search skillset. What should you include?
Select an answer first
25foundation · easy
Which Azure AI Search component is used to automate the ingestion of data from a data source into an index?
Select an answer first

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