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Exam AWS Certified Solutions Architect - Professional SAP-C02 All Questions

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Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 305 discussion

A data analytics company has an Amazon Redshift cluster that consists of several reserved nodes. The cluster is experiencing unexpected bursts of usage because a team of employees is compiling a deep audit analysis report. The queries to generate the report are complex read queries and are CPU intensive.

Business requirements dictate that the cluster must be able to service read and write queries at all times. A solutions architect must devise a solution that accommodates the bursts of usage.

Which solution meets these requirements MOST cost-effectively?

  • A. Provision an Amazon EMR cluster Offload the complex data processing tasks.
  • B. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster by using a classic resize operation when the cluster’s CPU metrics in Amazon CloudWatch reach 80%.
  • C. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster by using an elastic resize operation when the cluster’s CPU metrics in Amazon CloudWatch reach 80%.
  • D. Turn on the Concurrency Scaling feature for the Amazon Redshift cluster.
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Suggested Answer: D 🗳️

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AzureDP900
1 week ago
D is right Concurrency Scaling is a feature in Amazon Redshift that allows you to scale your cluster's concurrency level up or down based on usage, without having to manually resize the cluster. By turning on Concurrency Scaling, the cluster will automatically scale up when CPU utilization reaches a certain threshold (in this case, 80%), and then scale back down when usage returns to normal. This allows you to meet unexpected bursts of usage while keeping costs under control. This solution meets the business requirements by ensuring that read and write queries can be serviced at all times, while also being cost-effective.
upvoted 1 times
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alexandercamachop
9 months ago
Selected Answer: D
“ With the Concurrency Scaling feature, you can support thousands of concurrent users and concurrent queries, with consistently fast query performance. When you turn on concurrency scaling, Amazon Redshift automatically adds additional cluster capacity to process an increase in both read and write queries.” https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html
upvoted 3 times
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cypkir
1 year ago
Answer C
upvoted 1 times
helloworldabc
3 months, 1 week ago
just D
upvoted 1 times
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career360guru
1 year ago
Selected Answer: D
Best option is D
upvoted 2 times
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nublit
1 year ago
Selected Answer: D
The most cost-effective solution for addressing bursts of usage and accommodating complex queries in Amazon Redshift is to turn on the Concurrency Scaling feature for the Amazon Redshift cluster.
upvoted 2 times
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Ustad
1 year ago
Selected Answer: D
Simply D
upvoted 1 times
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AM_aws
1 year ago
Selected Answer: D
https://aws.amazon.com/blogs/big-data/scale-amazon-redshift-to-meet-high-throughput-query-requirements/#:~:text=Use%20concurrency%20scaling%20to%20dynamically,data%20warehouse%20using%20Amazon%20Redshift.
upvoted 4 times
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airgead
1 year ago
Answer: D The most cost-effective solution for addressing bursts of usage and accommodating complex queries in Amazon Redshift is to turn on the Concurrency Scaling feature for the Amazon Redshift cluster.
upvoted 4 times
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