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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 231 discussion

A company wants to combine data from multiple software as a service (SaaS) applications for analysis.

A data engineering team needs to use Amazon QuickSight to perform the analysis and build dashboards. A data engineer needs to extract the data from the SaaS applications and make the data available for QuickSight queries.

Which solution will meet these requirements in the MOST operationally efficient way?

  • A. Create AWS Lambda functions that call the required APIs to extract the data from the applications. Store the data in an Amazon S3 bucket. Use AWS Glue to catalog the data in the S3 bucket. Create a data source and a dataset in QuickSight.
  • B. Use AWS Lambda functions as Amazon Athena data source connectors to run federated queries against the SaaS applications. Create an Athena data source and a dataset in QuickSight.
  • C. Use Amazon AppFlow to create a flow for each SaaS application. Set an Amazon S3 bucket as the destination. Schedule the flows to extract the data to the bucket. Use AWS Glue to catalog the data in the S3 bucket. Create a data source and a dataset in QuickSight.
  • D. Export data the from the SaaS applications as Microsoft Excel files. Create a data source and a dataset in QuickSight by uploading the Excel files.
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Suggested Answer: C 🗳️

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rdiaz
1 month, 2 weeks ago
Selected Answer: C
Amazon AppFlow is a fully managed service designed specifically to connect with SaaS applications (e.g., Salesforce, Zendesk, Google Analytics) and move data into AWS services like Amazon S3. • It supports scheduled flows, incremental updates, and transformation options out of the box. • This option minimizes operational effort: no custom code, no manual API integrations, and no infrastructure management. • Once the data is in S3 and cataloged with AWS Glue, it can be easily queried in Amazon QuickSight.
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