Topic 1 Question 16
A company hosts a data lake on AWS. The data lake consists of data in Amazon S3 and Amazon RDS for PostgreSQL. The company needs a reporting solution that provides data visualization and includes all the data sources within the data lake. Only the company's management team should have full access to all the visualizations. The rest of the company should have only limited access. Which solution will meet these requirements?
Create an analysis in Amazon QuickSight. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate IAM roles.
Create an analysis in Amazon QuickSight. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate users and groups.
Create an AWS Glue table and crawler for the data in Amazon S3. Create an AWS Glue extract, transform, and load (ETL) job to produce reports. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
Create an AWS Glue table and crawler for the data in Amazon S3. Use Amazon Athena Federated Query to access data within Amazon RDS for PostgreSQL. Generate reports by using Amazon Athena. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
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コメント(17)
- 正解だと思う選択肢: B👍 49rodriiviru2022/10/10
- 正解だと思う選択肢: B
Keywords:
- Data lake on AWS.
- Consists of data in Amazon S3 and Amazon RDS for PostgreSQL.
- The company needs a reporting solution that provides data VISUALIZATION and includes ALL the data sources within the data lake.
A - Incorrect: Amazon QuickSight only support users(standard version) and groups (enterprise version). users and groups only exists without QuickSight. QuickSight don't support IAM. We use users and groups to view the QuickSight dashboard B - Correct: as explained in answer A and QuickSight is used to created dashboard from S3, RDS, Redshift, Aurora, Athena, OpenSearch, Timestream C - Incorrect: This way don't support visulization and don't mention how to process RDS data D - Incorrect: This way don't support visulization and don't mention how to combine data RDS and S3
👍 12PhucVuu2023/04/06 - 正解だと思う選択肢: B
Option B is the correct answer because Amazon QuickSight's sharing mechanism is based on users and groups, not IAM roles. IAM roles are used for granting permissions to AWS resources, but they are not directly used for sharing QuickSight dashboards.
In option B, you create an analysis in Amazon QuickSight, connect all the data sources (Amazon S3 and Amazon RDS for PostgreSQL), and create new datasets. After publishing dashboards to visualize the data, you share them with appropriate users and groups. This approach allows you to control the access levels for different users, such as providing full access to the management team and limited access to the rest of the company. This solution meets the requirements specified in the question.
👍 4linux_admin2023/03/30
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