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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
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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