Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 16 discussion

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

Amazon QuickSight is a data visualization service that allows you to create interactive dashboards and reports from various data sources, including Amazon S3 and Amazon RDS for PostgreSQL. You can connect all the data sources and create new datasets in QuickSight, and then publish dashboards to visualize the data. You can also share the dashboards with the appropriate users and groups, and control their access levels using IAM roles and permissions.

It was the use of users and groups that answered that for me

Amazon QuickSight can handle dynamic data through Direct Query Mode or scheduled data refreshes. It provides real-time or near-real-time visualizations, interactive dashboards, and fine-grained access control, making it the most suitable solution for the company’s requirements. https://aws.amazon.com/blogs/business-intelligence/best-practices-for-amazon-quicksight-spice-and-direct-query-mode/ I saw the question in udemy practice test 5 from Neal Davis, he suggested the correct answer is D, his reasons: option B solves the problem of access sharing with resources but does not take care of delta in data.

Amazon QuickSight is designed for creating visualizations and dashboards, and it can easily connect to a variety of data sources such as Amazon S3 and Amazon RDS for PostgreSQL. You can create an analysis in QuickSight by connecting the required data sources, creating datasets, and then building dashboards. Access control in QuickSight is robust. You can share dashboards with specific users and groups, ensuring that only the management team has full access to all the visualizations, while the rest of the company can have limited access.

Keyword: data visualization = QuickSight QuickSight defines Users (standard versions) and Groups (enterprise version) These users & groups only exist within QuickSight, not IAM So the correct answer is B.

The question requires a solution for data visualization, which means it focuses solely on downstream consumption. Therefore, any solution that includes upstream processing is off the table (C & D). This leaves us with two options: A and B. Essentially, they are the same with one key difference: A manages access through IAM Roles, while B manages it through an IAM group. Since only the management team is granted permission, using a group will be more efficient, as it scales better with changes in personnel and provides a centralized point for managing permissions.

The question requires a solution for data visualization, which means it focuses solely on downstream consumption. Therefore, any solution that includes upstream processing is off the table (C & D). This leaves us with two options: A and B. Essentially, they are the same with one key difference: A manages access through IAM Roles, while B manages it through an IAM group. Since only the management team is granted permission, using a group will be more efficient, as it scales better with changes in personnel and provides a centralized point for managing permissions.

If you have data in sources other than Amazon S3, you can use Athena Federated Query to query the data in place or build pipelines that extract data from multiple data sources and store them in Amazon S3. With Athena Federated Query, you can run SQL queries across data stored in relational, non-relational, object, and custom data sources. Athena uses data source connectors that run on AWS Lambda to run federated queries. A data source connector is a piece of code that can translate between your target data source and Athena. You can think of a connector as an extension of Athena's query engine. Prebuilt Athena data source connectors exist for data sources like Amazon CloudWatch Logs, Amazon DynamoDB, Amazon DocumentDB, and Amazon RDS, and JDBC-compliant relational data sources such MySQL, and PostgreSQL under the Apache 2.0 license

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.

Amazon QuickSight is a cloud-based business intelligence (BI) service that makes it easy to create and publish interactive dashboards that include data visualizations from multiple data sources. By using QuickSight, the company can connect to both Amazon S3 and Amazon RDS for PostgreSQL and create new datasets that combine data from both sources. The company can then use QuickSight to create interactive dashboards that visualize the data and provide data insights. To limit access to the visualizations, the company can use QuickSight's built-in security features. QuickSight allows you to define fine-grained access control at the user or group level. This way, the management team can have full access to all the visualizations, while the rest of the company can have only limited access.

tricky question, Users, groups and roles can have access. Viewing who has access to a dashboard Use the following procedure to see which users or groups have access to the dashboard. Open the published dashboard and choose Share at upper right. Then choose Share dashboard. In the Share dashboard page that opens, under Manage permissions, review the users and groups, and their roles and settings. You can search to locate a specific user or group by entering their name or any part of their name in the search box at upper right. Searching is case-sensitive, and wildcards aren't supported. Delete the search term to return the view to all users.

B. 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. Amazon QuickSight is a business intelligence (BI) tool provided by AWS that allows you to create interactive dashboards and reports. It supports a variety of data sources, including Amazon S3 and Amazon RDS for PostgreSQL, which are the data sources in the company's data lake. Option A (Create an analysis in Amazon QuickSight and share with IAM roles) is incorrect because it suggests sharing with IAM roles, which are more suitable for managing access to AWS resources rather than granting access to specific users or groups within QuickSight.

Explanation: Option B involves using Amazon QuickSight, which is a business intelligence tool provided by AWS for data visualization and reporting. With this option, you can connect all the data sources within the data lake, including Amazon S3 and Amazon RDS for PostgreSQL. You can create datasets within QuickSight that pull data from these sources. The solution allows you to publish dashboards in Amazon QuickSight, which will provide the required data visualization capabilities. To control access, you can use appropriate IAM (Identity and Access Management) roles, assigning full access only to the company's management team and limiting access for the rest of the company. You can share the dashboards selectively with the users and groups that need access.

My opinion is divided here, and I will explain: Option C can be correct because glue crawler is used to access S3, and athena federated query is used to access RDS. My problem with answer C is that it says: "Generate Reports by using athena" And I think that is not true. athena alone does not generate reports, it has to integrate with services such as quickSight and then it generates reports, therefore the answer is not written properly and I think C is a mistake. Since C is wrong I think B is the correct answer.

Explanation: Option B involves using Amazon QuickSight, which is a business intelligence tool provided by AWS for data visualization and reporting. With this option, you can connect all the data sources within the data lake, including Amazon S3 and Amazon RDS for PostgreSQL. You can create datasets within QuickSight that pull data from these sources. The solution allows you to publish dashboards in Amazon QuickSight, which will provide the required data visualization capabilities. To control access, you can use appropriate IAM (Identity and Access Management) roles, assigning full access only to the company's management team and limiting access for the rest of the company. You can share the dashboards selectively with the users and groups that need access.