AWS Certified Data Engineer Associate · Free Practice Question Medium

Question 17

When visualizing data for analysis using AWS services, which tools can be utilized to create interactive dashboards and visualizations from processed data? (Select TWO)
  • A Amazon SageMaker
  • B Amazon QuickSight
  • C Amazon Athena
  • D AWS Glue DataBrew
Reveal correct answers

Correct answers: A, B

Explanation

Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization by creating and publishing interactive dashboards. Amazon SageMaker can also be used for data analysis and visualization, particularly when integrating machine learning models into the visualization process.

A. Amazon SageMaker is a machine learning platform that provides tools for building, training, and deploying machine learning models. While it is not specifically a data visualization tool, it can be utilized to create interactive dashboards and visualizations from processed data by incorporating machine learning models into the visualization process.

B. Amazon QuickSight is a business intelligence tool that allows users to create interactive dashboards and visualizations from processed data. It provides easy-to-use features for data visualization and analysis, making it a suitable choice for creating interactive dashboards for data analysis.

C. Amazon Athena is an interactive query service that allows users to analyze data in Amazon S3 using standard SQL queries. While it can help in querying and analyzing data, it is not specifically designed for creating interactive dashboards and visualizations like Amazon QuickSight and Amazon SageMaker.

D. AWS Glue DataBrew is a data preparation tool that helps users clean and normalize data for analysis. While it can assist in preparing data for visualization, it is not primarily used for creating interactive dashboards and visualizations like Amazon QuickSight and Amazon SageMaker.

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