Practice Test GeeksAI-900 Azure AI Fundamentals Practice Test
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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 — missed cards come back until you master them.

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  1. What is the primary difference between a 'Facetable' and a 'Filterable' field attribute in Azure Cognitive Search?

    Answer: Facetable fields enable aggregated navigation categories; Filterable fields enable exact-match filtering

    Facetable fields enable faceted navigation by returning aggregated counts of values (e.g., document count per category), while Filterable fields allow users to restrict results using exact-match conditions.

  2. Which Azure Cognitive Search built-in skill identifies and extracts named entities such as people, organizations, and locations from text?

    Answer: Entity Recognition skill

    The Entity Recognition skill uses natural language processing to detect named entities (people, places, organizations, URLs, etc.) and tags them with category labels in the enriched document.

  3. In Azure Cognitive Search, what is the purpose of a data source object?

    Answer: It stores connection information for the external repository the indexer reads from

    A data source object stores the connection string and credentials for the external repository (such as Azure Blob Storage or Azure SQL) from which the indexer retrieves documents to process.

  4. Which of the following best describes 'cognitive enrichment' in Azure Cognitive Search?

    Answer: Applying AI to extract structured insights from raw, unstructured content during indexing

    Cognitive enrichment is the process of running AI-based skills (such as OCR, entity recognition, and key phrase extraction) on raw content to produce structured, annotated data that can be indexed and searched.

  5. Which file types can Azure Cognitive Search natively parse and index without a custom skillset?

    Answer: Common formats including PDF, DOCX, XLSX, and plain text files

    Azure Cognitive Search has built-in parsers that can extract text from common document formats such as PDF, Microsoft Office files (DOCX, XLSX, PPTX), HTML, and plain text, without requiring custom skills.

  6. What happens to enriched content when a knowledge store is configured in an Azure Cognitive Search pipeline?

    Answer: It is persisted to Azure Storage independently of the search index for downstream use

    When a knowledge store is configured, the enriched content output by the skillset is written to Azure Blob Storage or Azure Table Storage, creating a separate persistent store useful for analytics and reporting.

  7. Which Azure Cognitive Search feature allows you to add AI-generated captions and highlights to search results so users can quickly understand why a document matched their query?

    Answer: Semantic search with semantic captions

    Semantic search can return semantic captions — AI-extracted passages from the document that are most relevant to the query — helping users understand why a result was returned without reading the full document.