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Answer: Use Amazon Athena to query the data and Amazon QuickSight to create dashboards.
Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. It allows you to create and publish interactive dashboards. To prepare the data, you would use Amazon Athena to query the data directly from S3, as Athena is a serverless query service that makes it easy to analyze data in S3 using standard SQL. This approach is efficient and cost-effective for large datasets.
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You are tasked with visualizing a large dataset stored in S3 using AWS services. The dataset contains sales data from multiple regions and includes various dimensions such as time, product, and region. Which AWS service would you use to create interactive dashboards and visualizations, and how would you prepare the data for this service?
A
Use AWS Glue to transform the data and Amazon QuickSight to create dashboards.
B
Use Amazon Athena to query the data and Amazon QuickSight to create dashboards.
C
Use AWS Lambda to process the data and Amazon QuickSight to create dashboards.
D
Use Amazon SageMaker Data Wrangler to clean the data and Amazon QuickSight to create dashboards.
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