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Microsoft Azure AI Fundamentals: Explore knowledge mining Microsoft Quiz Answers

Get Microsoft Azure AI Fundamentals: Explore knowledge mining Microsoft Quiz Answers

Knowledge mining is a discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly search and learn from vast amounts of information.

This learning path helps prepare you for Exam AI-900: Microsoft Azure AI Fundamentals.

Prerequisites:

  • Ability to navigate the Azure portal
  • Foundational knowledge of Azure services
  • Foundational knowledge of REST

Enroll on Microsoft

Module 1: Introduction to Azure Cognitive Search

Use Azure Cognitive Search to make your data searchable.

Learning objectives:

In this module, you will:

  • Explore Azure Cognitive Search
  • Create an Azure Cognitive Search index
  • Import data to the index
  • Query the Azure Cognitive Search index

Quiz 1: Knowledge check

Q1. Which data format is accepted by Azure Cognitive Search when you’re pushing data to the index?

  • CSV.
  • SQL.
  • JSON.

Q2. Which explanation best describes an indexer and an index?

  • An indexer converts documents into JSON and forwards them to a search engine for indexing.
  • An indexer can be used instead of an index if the files are already in the proper format.
  • An indexer is only used for AI enrichment and skillset execution.

Q3. If you set up a search index without including a skillset, which would you still be able to query?

  • Sentiment.
  • Text content.
  • Image captions.
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