Knowledge Mining Quiz - Competitive Exams Azure_AI102

Free practice quiz: Knowledge Mining (Competitive Exams Azure_AI102). 57 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

Sample questions

1. In Azure AI Search, which component is responsible for defining how source data is read, transformed, and mapped into the search index?

   1. Data source
   2. Indexer
   3. Index
   4. Skillset
   Show answer

   Answer: B. Indexer

2. In Azure AI Search, which of the following is required to use the Semantic ranker?

   1. A standard tier or higher search service
   2. A free tier search service
   3. A knowledge store
   4. An Azure AI Services multi-service account
   Show answer

   Answer: A. A standard tier or higher search service

3. Which Azure AI Search query syntax supports fielded searches, wildcards, and fuzzy matching?

   1. Simple query syntax
   2. Lucene query syntax
   3. Semantic query syntax
   4. OData query syntax
   Show answer

   Answer: B. Lucene query syntax

4. Which Azure AI Search feature allows you to define a custom skill that uses an Azure Machine Learning model endpoint?

   1. The AML skill
   2. The Custom Entity Lookup skill
   3. The Document Extraction skill
   4. The Image Analysis skill
   Show answer

   Answer: A. The AML skill

5. In Azure AI Search, what is the purpose of the 'Enrichment Tree' in the context of a skillset?

   1. It represents the hierarchical structure of enriched data generated by skills during indexing.
   2. It specifies the output field mappings for the indexer.
   3. It maps source fields to index fields.
   4. It defines the order in which skills are executed.
   Show answer

   Answer: A. It represents the hierarchical structure of enriched data generated by skills during indexing.

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