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Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 239 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Professional SAP-C02
Question #: 239
Topic #: 1
[All AWS Certified Solutions Architect - Professional SAP-C02 Questions]

A company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements:

• Provide near-real-time analytics of the inbound genomic data
• Ensure the data is flexible, parallel, and durable
• Deliver results of processing to a data warehouse

Which strategy should a solutions architect use to meet these requirements?

  • A. Use Amazon Kinesis Data Firehose to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon RDS instance.
  • B. Use Amazon Kinesis Data Streams to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon Redshift cluster using Amazon EMR.
  • C. Use Amazon S3 to collect the inbound device data, analyze the data from Amazon SQS with Kinesis, and save the results to an Amazon Redshift cluster.
  • D. Use an Amazon API Gateway to put requests into an Amazon SQS queue, analyze the data with an AWS Lambda function, and save the results to an Amazon Redshift cluster using Amazon EMR.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by bhanus at June 22, 2023, 3:54 a.m.
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shaaam80
Highly Voted 1 year, 5 months ago
Selected Answer: B
Answer B. Option A might be close enough, near-real time, which is Firehose, but the target is RDS but the ask is for Datawarehouse (Redshift)
upvoted 8 times
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Win007
Most Recent 11 months, 1 week ago
Dis the right Answer
upvoted 1 times
helloworldabc
8 months, 3 weeks ago
just B
upvoted 1 times
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bjexamprep
1 year ago
Selected Answer: D
Kinesis client is a library. Users need to write an application with the Kinesis Client Library to use it. Both A and B states “analyze the data with Kinesis clients” without mentioning how the application is written and deployed. So, both A and B are out, cause the deployment model is the key of the question to satisfy the requirement. C has an incorrect statement “analyze the data from Amazon SQS with Kinesis” D is a feasible solution.
upvoted 1 times
helloworldabc
8 months, 3 weeks ago
just B
upvoted 1 times
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jopaca1216
9 months, 3 weeks ago
SQS is not near real time
upvoted 1 times
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Dgix
1 year, 1 month ago
Selected Answer: B
Correct answer is B.
upvoted 1 times
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tmlong18
1 year, 4 months ago
Selected Answer: B
'parallel'
upvoted 1 times
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career360guru
1 year, 5 months ago
Selected Answer: B
Option B
upvoted 1 times
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NikkyDicky
1 year, 10 months ago
Selected Answer: B
B for sure
upvoted 1 times
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SmileyCloud
1 year, 10 months ago
Selected Answer: B
B. Real-time is either firehose (A) or streams (B). But they require a data warehouse and that's RedShift not RDS.
upvoted 4 times
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easytoo
1 year, 10 months ago
b=b=b=b=b=b=b
upvoted 1 times
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nexus2020
1 year, 10 months ago
Selected Answer: B
B is the one for real time
upvoted 1 times
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MoussaNoussa
1 year, 10 months ago
Answer B is the right one
upvoted 2 times
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bhanus
1 year, 10 months ago
Selected Answer: B
B is correct B - Kinesis Data Streams is a real-time streaming service and provide near-real-time analytics. Also the question "Deliver results of processing to a data warehouse" and this option has redshift cluster which is a powerful data warehousing solution that can handle large-scale analytics workloads. A - incorrect because Kinesis Data Firehose is NOT ideal for near-real-time analytics and may introduce some latency in the data processing pipeline. Additionally, saving the results to an Amazon RDS instance may not provide the scalability and flexibility required for processing and analyzing large volumes of genomic data.
upvoted 4 times
bhanus
1 year, 10 months ago
Between A and B, B is better because questions asks for data warehousing capabilities. So option B has Redshift which is correct answer.
upvoted 1 times
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bhanus
1 year, 10 months ago
What a worst framed ques. The ques says "NEAR real time" which means its Kinesis data firehose. But this option has RDS which is not good for analysis
upvoted 2 times
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