exam questions

Exam AWS Certified Solutions Architect - Professional All Questions

View all questions & answers for the AWS Certified Solutions Architect - Professional exam

Exam AWS Certified Solutions Architect - Professional topic 1 question 607 discussion

A company is developing a gene reporting device that will collect genomic information to assist researchers will 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 Firehouse 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 🗳️

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Nemer
Highly Voted 3 years, 8 months ago
B is right. Kinesis streams / EMR / Redshift.
upvoted 24 times
...
Ebi
Highly Voted 3 years, 7 months ago
I will go with B
upvoted 5 times
...
Heer
Most Recent 2 years, 7 months ago
Near real time =Kinesis Streams Dataware house:Redshift
upvoted 1 times
...
WayneYi
2 years, 8 months ago
I chose A, but then I noticed that it is sending results to RDS, oops!
upvoted 3 times
...
Ni_yot
2 years, 9 months ago
B is correct ans. like this one
upvoted 1 times
...
HellGate
3 years, 4 months ago
B real-time requirement = Kinesis
upvoted 1 times
...
AzureDP900
3 years, 6 months ago
Selected Answer: B
B for sure !
upvoted 1 times
...
Kopa
3 years, 6 months ago
Ascertain that the data is adaptable, parallel, and durable is very tempting to S3, but most probably its B with Kinesis
upvoted 1 times
...
tgv
3 years, 7 months ago
BBB ---
upvoted 1 times
...
WhyIronMan
3 years, 7 months ago
I'll go with B
upvoted 1 times
...
KittuCheeku
3 years, 7 months ago
B is the correct answer as it is best suited amongst 4 given options. KDS (Analytics) + Redshift (Data Warehouse) + Using Elastic MapReduce
upvoted 2 times
...
Waiweng
3 years, 7 months ago
it's B
upvoted 2 times
...
digimaniac
3 years, 7 months ago
I think C is correct too. B is an overkill. 8KB per second is really low data rate.
upvoted 1 times
TonyGe
3 years, 7 months ago
near-real-time, always think of Kinesis
upvoted 2 times
...
...
Bulti
3 years, 7 months ago
answer is B
upvoted 3 times
...
T14102020
3 years, 8 months ago
Correct is D. Kinesis data streams + EMR + Redshift.
upvoted 2 times
...
jackdryan
3 years, 8 months ago
I'll go with B
upvoted 3 times
...
CYL
3 years, 8 months ago
B. Redshift is the data-warehouse. EMR to do the data transformation. Kinesis for real-time data transfer.
upvoted 4 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...