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Exam AWS Certified Solutions Architect - Professional All Questions

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Exam AWS Certified Solutions Architect - Professional topic 1 question 41 discussion

Your department creates regular analytics reports from your company's log files All log data is collected in Amazon S3 and processed by daily Amazon Elastic
MapReduce (EMR) jobs that generate daily PDF reports and aggregated tables in CSV format for an Amazon Redshift data warehouse.
Your CFO requests that you optimize the cost structure for this system.
Which of the following alternatives will lower costs without compromising average performance of the system or data integrity for the raw data?

  • A. Use reduced redundancy storage (RRS) for all data In S3. Use a combination of Spot Instances and Reserved Instances for Amazon EMR jobs. Use Reserved Instances for Amazon Redshift.
  • B. Use reduced redundancy storage (RRS) for PDF and .csv data in S3. Add Spot Instances to EMR jobs. Use Spot Instances for Amazon Redshift.
  • C. Use reduced redundancy storage (RRS) for PDF and .csv data In Amazon S3. Add Spot Instances to Amazon EMR jobs. Use Reserved Instances for Amazon Redshift.
  • D. Use reduced redundancy storage (RRS) for all data in Amazon S3. Add Spot Instances to Amazon EMR jobs. Use Reserved Instances for Amazon Redshift.
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Suggested Answer: C 🗳️

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tkanmani76
Highly Voted 3 years, 4 months ago
C - Due to the fault-tolerant nature of big data workloads on EMR, they can continue processing, even when interrupted. Running EMR on Spot Instances drastically reduces the cost of big data, allows for significantly higher compute capacity, and reduces the time to process big data sets.
upvoted 6 times
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SkyZeroZx
Most Recent 1 year, 11 months ago
Selected Answer: C
c is the only logic answer
upvoted 1 times
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davideccc
2 years, 7 months ago
Selected Answer: C
c is the only logic answer
upvoted 2 times
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DashL
3 years, 6 months ago
C First of all this question is outdated, since as of 2020, RRS is not one of the available object classes for S3. So, this question will never come in certification exam. https://aws.amazon.com/ec2/spot/use-case/emr/ provides an use case for EC2 sport instances "Amazon EMR on EC2 Spot Instances". Due to the fault-tolerant nature of big data workloads on EMR, they can continue processing, even when interrupted. Running EMR on Spot Instances drastically reduces the cost of big data, allows for significantly higher compute capacity, and reduces the time to process big data sets. Also, if Raw data is available all processing can be redone.
upvoted 2 times
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01037
3 years, 6 months ago
C. As long as the original data exist, you can always generate reports.
upvoted 1 times
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blackgamer
3 years, 6 months ago
I believe the answer is C. The requirement is not to compromise performance and integrity of Raw data. The raw data should still be in Standard Storage. ue to the fault-tolerant nature of big data workloads on EMR, they can continue processing, even when interrupted. Running EMR on Spot Instances drastically reduces the cost of big data, allows for significantly higher compute capacity, and reduces the time to process big data sets.
upvoted 1 times
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aws_arn_name
3 years, 6 months ago
Why use RRS instead of S3 Standard . The S3 Standard storage class is more cost effective https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html#sc-freq-data-access
upvoted 3 times
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cldy
3 years, 7 months ago
A. the "creates regular analytics reports" requirement, you cannot achieve it with only spot instances.
upvoted 3 times
bobsmith2000
3 years ago
Pay attention to "without compromising data integrity for the raw data". Which means that you cannot store raw data using RRS storage class. Ans. seems to be C
upvoted 1 times
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ExtHo
3 years, 7 months ago
Correct Ans is A as Spot instance in all other options will effect performance
upvoted 1 times
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