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Knowledge Mining Flashcards

7 cards from real AI-900 practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Knowledge Mining flashcards as text
  1. What is the primary purpose of Azure Cognitive Search in the context of knowledge mining?

    Answer: To extract insights from unstructured content and make it searchable

    Azure Cognitive Search enables knowledge mining by applying AI enrichment to extract insights from unstructured content such as documents, images, and blobs, making that content searchable.

  2. Which component in Azure Cognitive Search defines the sequence of AI enrichment steps applied to documents during indexing?

    Answer: Skillset

    A skillset is an Azure Cognitive Search object that defines a pipeline of cognitive skills (such as OCR, key phrase extraction, and entity recognition) applied during AI enrichment.

  3. In Azure Cognitive Search, what is an indexer responsible for?

    Answer: Automating the process of reading data from a source, enriching it, and loading it into an index

    An indexer automates the crawl-enrich-load pipeline by connecting to a data source, optionally running a skillset, and populating the search index with the processed content.

  4. Which Azure storage service is most commonly used as a data source for an Azure Cognitive Search indexer when mining documents?

    Answer: Azure Blob Storage

    Azure Blob Storage is the most common data source for Azure Cognitive Search because it can store large volumes of unstructured documents such as PDFs, Word files, and images that benefit from AI enrichment.

  5. What does the knowledge store feature in Azure Cognitive Search do?

    Answer: Persists AI-enriched content to Azure Storage for downstream analysis

    The knowledge store persists enriched documents produced by a skillset to Azure Blob Storage or Azure Table Storage, enabling downstream analytics and integration with tools like Power BI.

  6. Which built-in cognitive skill in Azure Cognitive Search extracts important words and phrases from text?

    Answer: Key Phrase Extraction skill

    The Key Phrase Extraction skill identifies the main talking points in text and outputs them as a list of key phrases, making documents more discoverable.

  7. What is the role of a search index in Azure Cognitive Search?

    Answer: It is a persistent data structure containing searchable content and metadata

    A search index is the primary searchable data structure in Azure Cognitive Search that contains the enriched, indexed fields that users query against.