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description: Test your knowledge by answering questions about skills you learned in this module.
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author: wwlpublish
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ms.author: sheryang
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ms.date: 07/25/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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azureSandbox: false
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labModal: false
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durationInMinutes: 3
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quiz:
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title: "Check your knowledge"
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questions:
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- content: "Which data format is accepted by Azure AI Search when you're pushing data to the index?"
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choices:
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- content: "CSV."
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isCorrect: false
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explanation: "Incorrect. If source data is a CSV file, you'll have to convert it to JSON before you can push it to an index. You can also use an indexer to parse CSV files stored in Azure Storage."
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- content: "SQL."
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isCorrect: false
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explanation: "Incorrect. SQL data isn't supported natively. You can either convert it to JSON or use an indexer that serializes the content for you."
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- content: "JSON."
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isCorrect: true
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explanation: "Correct. Azure AI Search can index JSON documents. JSON is also used to define index schemas, indexers, and data source objects."
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- content: "Which explanation best describes an indexer and an index?"
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choices:
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- content: "An indexer converts documents into JSON and forwards them to a search engine for indexing."
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isCorrect: true
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explanation: "Correct. An indexer serializes a source document into JSON before passing it to a search engine for indexing. An indexer automates several steps of data ingestion, reducing the amount of code you need to write."
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- content: "An indexer can be used instead of an index if the files are already in the proper format."
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isCorrect: false
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explanation: "Incorrect. An indexer is used to populate an index, but isn't a replacement for an index."
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- content: "An indexer is only used for AI enrichment and skillset execution."
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isCorrect: false
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explanation: "Incorrect. A skillset requires an indexer, but an indexer doesn't require a skillset. You can use indexers to create a search index from textual content in any supported data source."
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- content: "If you set up a search index of written news documents without including any skillsets, what information would you still be able to query?"
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choices:
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- content: "The sentiment."
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isCorrect: false
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explanation: "Incorrect. Detecting the sentiment in content requires a skillset that includes the Sentiment Analysis skill."
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- content: "The full-text."
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isCorrect: true
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explanation: "Correct. Without AI skillsets, you can still perform full text search over indexes containing alphanumeric content."
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- content: "The AI-generated image captions."
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isCorrect: false
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explanation: "Incorrect. Creating captions for images requires a skillset that includes the Image Analysis skill."
description: Test your knowledge by answering questions about skills you learned in this module.
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author: wwlpublish
8
+
ms.author: sheryang
9
+
ms.date: 04/25/2025
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+
ms.topic: unit
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+
ms.collection:
12
+
- wwl-ai-copilot
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+
azureSandbox: false
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+
labModal: false
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+
durationInMinutes: 3
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+
quiz:
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title: "Check your knowledge"
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questions:
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- content: "Which data format is accepted by Azure AI Search when you're pushing data to the index?"
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choices:
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+
- content: "CSV."
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+
isCorrect: false
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explanation: "Incorrect. If source data is a CSV file, you'll have to convert it to JSON before you can push it to an index. You can also use an indexer to parse CSV files stored in Azure Storage."
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- content: "SQL."
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isCorrect: false
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explanation: "Incorrect. SQL data isn't supported natively. You can either convert it to JSON or use an indexer that serializes the content for you."
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- content: "JSON."
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isCorrect: true
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explanation: "Correct. Azure AI Search can index JSON documents. JSON is also used to define index schemas, indexers, and data source objects."
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- content: "Which explanation best describes an indexer and an index?"
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choices:
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- content: "An indexer converts documents into JSON and forwards them to a search engine for indexing."
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+
isCorrect: true
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explanation: "Correct. An indexer serializes a source document into JSON before passing it to a search engine for indexing. An indexer automates several steps of data ingestion, reducing the amount of code you need to write."
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+
- content: "An indexer can be used instead of an index if the files are already in the proper format."
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+
isCorrect: false
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explanation: "Incorrect. An indexer is used to populate an index, but isn't a replacement for an index."
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- content: "An indexer is only used for AI enrichment and skillset execution."
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+
isCorrect: false
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+
explanation: "Incorrect. A skillset requires an indexer, but an indexer doesn't require a skillset. You can use indexers to create a search index from textual content in any supported data source."
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+
- content: "If you set up a search index of written news documents without including any skillsets, what information would you still be able to query?"
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choices:
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- content: "The sentiment."
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+
isCorrect: false
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explanation: "Incorrect. Detecting the sentiment in content requires a skillset that includes the Sentiment Analysis skill."
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- content: "The full-text."
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isCorrect: true
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explanation: "Correct. Without AI skillsets, you can still perform full text search over indexes containing alphanumeric content."
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- content: "The AI-generated image captions."
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isCorrect: false
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explanation: "Incorrect. Creating captions for images requires a skillset that includes the Image Analysis skill."
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Knowledge mining solutions provide automated information extraction from large volumes of often unstructured data. One of these knowledge mining solutions is **Azure AI Search**, a cloud search service that has tools for building and managing indexes. Azure AI Search can index unstructured, typed, image-based, or hand-written media. The indexes can be used for internal only use, or to enable searchable content on public-facing internet assets.
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Importantly, Azure AI Search can utilize the built-in capabilities of Azure AI services such as image processing, content extraction, and natural language processing to perform knowledge mining of documents. The product's AI capabilities makes it possible to index previously unsearchable documents and to extract and surface insights from large amounts of data quickly.
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## Learning objectives
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In this module, you will:
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- Understand how Azure AI Search implements AI through skillsets
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- Learn how indexers automate data ingestion steps, including JSON serialization
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- Describe the purpose of a knowledge store
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- Understand how to build and query a search index
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Importantly, Azure AI Search can utilize the built-in capabilities of Azure AI services such as image processing, content extraction, and natural language processing to perform knowledge mining of documents. The product's AI capabilities makes it possible to index previously unsearchable documents and to extract and surface insights from large amounts of data quickly.
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