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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 150 discussion

A company uses Amazon Redshift to store its data. The reporting team runs ad-hoc queries to generate reports from the Amazon Redshift database. The reporting team recently started to experience inconsistencies in report generation. Ad-hoc queries used to generate reports that would typically take minutes to run can take hours to run. A data analytics specialist debugging the issue finds that ad-hoc queries are stuck in the queue behind long-running queries.
How should the data analytics specialist resolve the issue?

  • A. Create partitions in the tables queried in ad-hoc queries.
  • B. Configure automatic workload management (WLM) from the Amazon Redshift console.
  • C. Create Amazon Simple Queue Service (Amazon SQS) queues with different priorities. Assign queries to a queue based on priority.
  • D. Run the VACUUM command for all tables in the database.
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Suggested Answer: B 🗳️

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Teraxs
Highly Voted 3 years ago
Selected Answer: B
Amazon Redshift workload management (WLM) enables users to flexibly manage priorities within workloads so that short, fast-running queries won't get stuck in queues behind long-running queries. from https://docs.aws.amazon.com/redshift/latest/dg/c_workload_mngmt_classification.html
upvoted 7 times
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pk349
Most Recent 2 years ago
B: I passed the test
upvoted 1 times
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rocky48
2 years, 9 months ago
Selected Answer: B
Answer should be B
upvoted 2 times
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arboles
2 years, 10 months ago
Selected Answer: B
for sure
upvoted 1 times
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Ramshizzle
2 years, 11 months ago
Selected Answer: B
B is the correct answer. It is the Redshift method for queueing queries.
upvoted 1 times
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Bik000
2 years, 11 months ago
Selected Answer: B
I think Answer should be B
upvoted 1 times
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jrheen
3 years ago
B- Correct
upvoted 1 times
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rb39
3 years ago
Selected Answer: B
Configure automatic workload management (WLM) from the Amazon Redshift console.
upvoted 4 times
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