What should a solutions architect do to meet these requirements?

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In: SAA-C03
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A company is using Amazon CloudFront with its website.The company has enabled logging on the CloudFront distribution, and logs are saved in one of the company’s Amazon S3 buckets.The company needs to perform advanced analyses on the logs and build visualizations.

What should a solutions architect do to meet these requirements?

Use standard SQL queries in Amazon Athena to analyze the CloudFront logs in the S3 bucket. Visualize the results with AWS Glue.

Use standard SQL queries in Amazon Athena to analyze the CloudFront logs in the S3 bucket. Visualize the results with Amazon QuickSight.

Use standard SQL queries in Amazon DynamoDB to analyze the CloudFront logs in the S3 bucket. Visualize the results with AWS Glue.

Use standard SQL queries in Amazon DynamoDB to analyze the CloudFront logs in the S3 bucket. Visualize the results with Amazon QuickSight.

Explanations:

AWS Glue is primarily used for ETL (Extract, Transform, Load) purposes, not for visualization. Athena can query the logs, but Glue is not suitable for visualization.

Amazon Athena can query the CloudFront logs directly in S3 using SQL, and Amazon QuickSight can be used to visualize the analysis results, meeting all requirements.

DynamoDB is not intended for SQL-based queries on S3 data; Athena is better suited for querying logs stored in S3. AWS Glue is also not used for visualization.

DynamoDB is not a suitable choice for analyzing log files stored in S3. While QuickSight can handle visualization, DynamoDB does not support direct SQL analysis.

2025-10-23

1 Comment

  1. Liam
    Author

    I calculate that the answer is:
    Use standard SQL queries in Amazon Athena to analyze the CloudFront logs in the S3 bucket. Visualize the results with Amazon QuickSight.

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