AWS Certified Data Engineer Associate DEA-C01 Practice Question
A company runs dozens of AWS Glue ETL jobs every night. The engineering team needs near-real-time full-text search and Kibana dashboards for the CloudWatch logs that these jobs generate. The solution must minimize custom code and ongoing operations while reliably streaming the logs into Amazon OpenSearch Service. Which approach meets these requirements MOST effectively?
Create a CloudWatch Logs subscription filter that streams the log group directly to an Amazon OpenSearch Service domain.
Export the CloudWatch Logs to Amazon S3 each day and schedule an AWS Glue crawler and ETL job to load the data into Amazon OpenSearch Service.
Configure a CloudWatch Logs subscription that invokes an AWS Lambda function, transforms each log event, and calls the OpenSearch Service indexing API.
Create a CloudWatch Logs subscription filter that streams to an Amazon Kinesis Data Firehose delivery stream configured with an Amazon OpenSearch Service destination.
A CloudWatch Logs subscription filter can send log events directly to an Amazon OpenSearch Service domain with just a few console clicks or API calls. CloudWatch handles delivery, retries, and buffering, so no additional infrastructure or custom code is required. Using Kinesis Data Firehose is not supported for CloudWatch-to-OpenSearch, and solutions that involve Lambda, Glue, or MSK add unnecessary components and maintenance overhead.
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What is a CloudWatch Logs subscription filter?
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How does Amazon OpenSearch Service handle logs streamed from CloudWatch?
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Why is using Kinesis Data Firehose not supported for CloudWatch-to-OpenSearch integration?
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What is a CloudWatch Logs subscription filter?
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Why can't Kinesis Data Firehose be used to stream CloudWatch Logs to OpenSearch?
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What advantages does OpenSearch offer for streaming CloudWatch Logs?
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AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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