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Exam AWS Certified Data Analytics - Specialty All Questions

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Exam AWS Certified Data Analytics - Specialty topic 1 question 94 discussion

A retail company leverages Amazon Athena for ad-hoc queries against an AWS Glue Data Catalog. The data analytics team manages the data catalog and data access for the company. The data analytics team wants to separate queries and manage the cost of running those queries by different workloads and teams.
Ideally, the data analysts want to group the queries run by different users within a team, store the query results in individual Amazon S3 buckets specific to each team, and enforce cost constraints on the queries run against the Data Catalog.
Which solution meets these requirements?

  • A. Create IAM groups and resource tags for each team within the company. Set up IAM policies that control user access and actions on the Data Catalog resources.
  • B. Create Athena resource groups for each team within the company and assign users to these groups. Add S3 bucket names and other query configurations to the properties list for the resource groups.
  • C. Create Athena workgroups for each team within the company. Set up IAM workgroup policies that control user access and actions on the workgroup resources.
  • D. Create Athena query groups for each team within the company and assign users to the groups.
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Suggested Answer: C 🗳️

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VikG12
Highly Voted 3 years, 8 months ago
C should be the one.
upvoted 24 times
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ariane_tateishi
Highly Voted 3 years, 6 months ago
C. Should be the right answer. https://docs.aws.amazon.com/athena/latest/ug/workgroups.html
upvoted 5 times
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LocalHero
Most Recent 1 year, 6 months ago
Athena resouce group is not found. Is this correct recognization? so answer is C.I think.
upvoted 1 times
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pk349
2 years ago
C: I passed the test
upvoted 1 times
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CleverMonkey092
2 years, 1 month ago
C for me
upvoted 1 times
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cloudlearnerhere
2 years, 6 months ago
Correct answer is C as Athena workgroups can help isolate queries for teams, applications, and workloads. It also helps store the results in a separate S3 bucket and enforce cost constraints. Access to workgroups can be controlled using IAM. AWS doc says : We recommend using workgroups to isolate queries for teams, applications, or different workloads. For example, you may create separate workgroups for two different teams in your organization. You can also separate workloads. For example, you can create two independent workgroups, one for automated scheduled applications, such as report generation, and another for ad-hoc usage by analysts. You can switch between workgroups. To control access to workgroups, use resource-level IAM permissions or identity-based IAM policies. https://docs.aws.amazon.com/athena/latest/ug/workgroups.html
upvoted 5 times
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rocky48
2 years, 9 months ago
Selected Answer: C
Selected Answer: C
upvoted 1 times
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Bik000
2 years, 12 months ago
Selected Answer: C
Answer is C
upvoted 1 times
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Thiya
3 years, 5 months ago
Selected Answer: C
C is the answer
upvoted 2 times
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SGES
3 years, 6 months ago
C my option - Workgroups to isolate queries for teams, applications, or different workloads. For example, you may create separate workgroups for two different teams in your organization
upvoted 3 times
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AjithkumarSL
3 years, 7 months ago
Looks like its B https://aws.amazon.com/about-aws/whats-new/2019/02/athena_workgroups/
upvoted 1 times
AjithkumarSL
3 years, 7 months ago
I mean C
upvoted 2 times
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