AWS Data Analytics Practice Test 2025 - Free Practice Questions and Study Guide for AWS Data Analytics Certification

Question: 1 / 400

What key feature does Amazon Elasticsearch Service provide for analyzing large datasets like scanned documents?

Low latency storage

Full-text search capabilities

Amazon Elasticsearch Service, now known as Amazon OpenSearch Service, offers powerful full-text search capabilities, making it particularly effective for analyzing large datasets such as scanned documents. This service enables you to ingest, store, and index a wide variety of data, including unstructured text, which is commonly found in scanned documents.

The full-text search feature allows users to perform complex queries against the data, facilitating keyword searches and various forms of text analysis. In the context of scanned documents, which may not always have structured data formats, the ability to search through large volumes of text efficiently is crucial. Elasticsearch indexes the documents in a way that makes retrieving relevant information fast and scalable, ensuring that users can access insights quickly, even as the dataset grows in size.

Other aspects of the service, such as machine learning integration, low latency storage, and batch processing, enhance its usefulness but are not as central to the challenges of analyzing large volumes of unstructured text as the full-text search capabilities are. These features contribute to overall performance and functionality but do not directly address the need for efficient text search and analysis in documents.

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Batch processing

Machine learning integration

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