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Domain 2.4: Design a data storage solution for non-relational dataDomain 2Non-Relational DataCognitive SearchAI Enrichment
AZ-305 · Question 29 · Domain 2.4: Design a data storage solution for non-relational data
A legal firm has 5 million scanned PDF documents stored in Azure Blob Storage.
They are building an internal search portal. The solution must meet the following requirements:
- Extract printed text (OCR) from the scanned PDFs.
- Identify key entities (people, organizations, locations) within the text.
- Provide a searchable index that users can query via a web application.
Which TWO Azure services should you combine to build this solution? (Select TWO)
A legal firm has 5 million scanned PDF documents stored in Azure Blob Storage.
They are building an internal search portal. The solution must meet the following requirements:
- Extract printed text (OCR) from the scanned PDFs.
- Identify key entities (people, organizations, locations) within the text.
- Provide a searchable index that users can query via a web application.
Which TWO Azure services should you combine to build this solution? (Select TWO)
Answer options:
A.
Azure Cognitive Search
B.
Azure AI Services (Cognitive Services)
C.
Azure Synapse Analytics
D.
Azure Cosmos DB
E.
Azure Machine Learning
How to approach this question
Identify the search engine (Cognitive Search) and the AI enrichment engine (Azure AI Services) required for OCR and entity extraction.
Full Answer
Azure Cognitive Search and Azure AI Services (Cognitive Services).
Azure Cognitive Search (now Azure AI Search) is the primary search engine for indexing content in Azure. To meet the requirements of extracting text from images (OCR) and identifying entities, you must attach an Azure AI Services (formerly Cognitive Services) resource to the search indexer. This process is called 'AI enrichment', where built-in cognitive skills process the raw blobs before they are indexed.
Common mistakes
Thinking Azure Machine Learning is required. AML is for custom model training; Azure AI Services provides the pre-built OCR and NLP models needed here.
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