A finance company uses an on-premises search application to collect streaming data from various producers. The application provides real-time updates to search and visualization features. The…

Question

Options

• AUse Amazon EC2 instances to ingest and process the data streams to Amazon S3 buckets for
• BUse Amazon EMR to ingest and process the data streams to Amazon Redshift for storage. Use
• CUse Amazon Elastic Kubernetes Service (Amazon EKS) to ingest and process the data streams
• DUse Amazon Kinesis Data Streams to ingest and process the data streams to Amazon

• A
  5% (2)
• B
  7% (3)
• C
  19% (8)
• D
  69% (29)

Explanation

Amazon OpenSearch Service is the AWS-native service for real-time search, analytics, and visualization. Ingesting streaming data with Amazon Kinesis Data Streams ensures scalable and reliable data ingestion. OpenSearch supports indexing and querying the data in near real time. QuickSight can then be integrated for visualization and reporting. Options A and B involve batch processing and are not optimized for real-time search. Option C (EKS + DynamoDB) is not a fit for search workloads, as DynamoDB does not support advanced text search. Option D provides the closest AWS-native equivalent to the company's existing search-and-visualization

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