A company needs a forensic logging solution for hundreds of Docker-based applications running on Amazon EC2. The solution must provide real-time analytics, support message replay, and persist the logs. Which AWS services should be used? (Choose two.)
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Correct answer: Amazon Kinesis, Amazon OpenSearch Service.
Why this is the answer
Amazon Kinesis Data Streams is ideal for collecting and processing large streams of data records in real time, supporting message replay for up to a year, which meets the requirement for real-time analytics and persistence. Amazon OpenSearch Service (formerly Amazon Elasticsearch Service) provides a fully managed service for deploying, operating, and scaling OpenSearch clusters, enabling real-time search, analysis, and visualization of logs, fulfilling the real-time analytics requirement. Amazon Athena is a query service that makes it easy to analyze data directly in Amazon S3 using standard SQL, but it's not designed for real-time streaming ingestion or message replay. Amazon SQS is a message queuing service, not a logging solution for real-time analytics or persistence of log streams. Amazon EMR is a big data processing service, primarily for Apache Spark, Hadoop, and other big data frameworks, not a direct fit for real-time log ingestion and analytics.
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