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Exam AWS Certified Database - Specialty topic 1 question 193 discussion

Exam question from Amazon's AWS Certified Database - Specialty
Question #: 193
Topic #: 1
[All AWS Certified Database - Specialty Questions]

A retail company uses Amazon Redshift Spectrum to run complex analytical queries on objects that are stored in an Amazon S3 bucket. The objects are joined with multiple dimension tables that are stored in an Amazon Redshift database. The company uses the database to create monthly and quarterly aggregated reports. Users who attempt to run queries are reporting the following error message: error: Spectrum Scan Error: Access throttled
Which solution will resolve this error?

  • A. Check file sizes of fact tables in Amazon S3, and look for large files. Break up large files into smaller files of equal size between 100 MB and 1 GB
  • B. Reduce the number of queries that users can run in parallel.
  • C. Check file sizes of fact tables in Amazon S3, and look for small files. Merge the small files into larger files of at least 64 MB in size.
  • D. Review and optimize queries that submit a large aggregation step to Redshift Spectrum.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️

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Chosen Answer:
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mbar94
Highly Voted 2 years, 3 months ago
Selected Answer: C
C for sure according to the link - https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html
upvoted 8 times
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Skarlex77
Most Recent 10 months ago
Selected Answer: C
https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html
upvoted 1 times
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missipssamarsh
11 months, 1 week ago
Selected Answer: C
If your Redshift Spectrum requests frequently get throttled by Amazon S3, reduce the number of Amazon S3 GET/HEAD requests that Redshift Spectrum makes to Amazon S3. To do this, try merging small files into larger files. We recommend using file sizes of 64 MB or larger. https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html
upvoted 1 times
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OCHT
1 year, 9 months ago
Selected Answer: D
Option D suggests reviewing and optimizing the queries to submit a large aggregation step to Redshift Spectrum. This is the most appropriate solution to resolve the error, as it directly addresses the root cause of the issue. By optimizing the queries, it is possible to reduce the amount of data scanned by Redshift Spectrum, which will reduce the number of scan requests and prevent throttling.
upvoted 1 times
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TL12345
2 years, 1 month ago
C. https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html#spectrum-troubleshooting-access-throttled
upvoted 1 times
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JeanGat
2 years, 2 months ago
Selected Answer: C
C. Both S3 and AWS KMS can throttle..the fix is always the same...larger/less files. https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html
upvoted 4 times
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cloudsunriser
2 years, 2 months ago
Selected Answer: C
https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html#spectrum-troubleshooting-access-throttled
upvoted 3 times
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Adi_M
2 years, 3 months ago
Selected Answer: A
A is correct
upvoted 1 times
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SonamDhingra
2 years, 3 months ago
Selected Answer: A
A is correct https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-troubleshooting.html
upvoted 1 times
SonamDhingra
2 years, 2 months ago
Sorry, the documentation points to C.
upvoted 3 times
Germaneli
1 year, 2 months ago
Yes, "To do this, try merging small files into larger files. We recommend using file sizes of 64 MB or larger." --> C.
upvoted 1 times
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