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Exam AWS Certified DevOps Engineer - Professional DOP-C02 All Questions

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Exam AWS Certified DevOps Engineer - Professional DOP-C02 topic 1 question 117 discussion

A company is storing 100 GB of log data in .csv format in an Amazon S3 bucket. SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient, automated way to store metadata from the .csv file.

Which combination of steps will meet these requirements with the LEAST amount of effort? (Choose three.)

  • A. Filter the data through AWS X-Ray to visualize the data.
  • B. Filter the data through Amazon QuickSight to visualize the data.
  • C. Query the data with Amazon Athena.
  • D. Query the data with Amazon Redshift.
  • E. Use the AWS Glue Data Catalog as the persistent metadata store.
  • F. Use Amazon DynamoDB as the persistent metadata store.
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Suggested Answer: BCE 🗳️

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habros
Highly Voted 1 year, 3 months ago
Selected Answer: BCE
BCE. Glue Data Catalog can crawl S3 buckets to store table metadata. Then call the data catalog directly in Athena. It will show the partitions of the data. Athena does not deal with DynamoDB directly. Hence F is out.
upvoted 6 times
habros
1 year, 3 months ago
https://docs.aws.amazon.com/glue/latest/dg/catalog-and-crawler.html
upvoted 3 times
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thanhnv142
Highly Voted 9 months ago
BCE are correct: < query this data and generate graphs to visualize it> means athena and quicksight A: irrelevant D: too expensive F: Dynamodb is primarily used for storing web session data and not for this purpose
upvoted 5 times
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OrganizedChaos25
Most Recent 1 year, 5 months ago
Selected Answer: BCE
BCE are correct
upvoted 3 times
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devnv
1 year, 5 months ago
BCE are correct
upvoted 1 times
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PhuocT
1 year, 5 months ago
yep, agree with B,C and E.
upvoted 1 times
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ParagSanyashiv
1 year, 5 months ago
Selected Answer: BCE
Agree with BCE
upvoted 2 times
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