Exam AWS Certified Machine Learning - Specialty topic 1 question 241 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 241
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

Each morning, a data scientist at a rental car company creates insights about the previous day’s rental car reservation demands. The company needs to automate this process by streaming the data to Amazon S3 in near real time. The solution must detect high-demand rental cars at each of the company’s locations. The solution also must create a visualization dashboard that automatically refreshes with the most recent data.

Which solution will meet these requirements with the LEAST development time?

A. Use Amazon Kinesis Data Firehose to stream the reservation data directly to Amazon S3. Detect high-demand outliers by using Amazon QuickSight ML Insights. Visualize the data in QuickSight.
B. Use Amazon Kinesis Data Streams to stream the reservation data directly to Amazon S3. Detect high-demand outliers by using the Random Cut Forest (RCF) trained model in Amazon SageMaker. Visualize the data in Amazon QuickSight.
C. Use Amazon Kinesis Data Firehose to stream the reservation data directly to Amazon S3. Detect high-demand outliers by using the Random Cut Forest (RCF) trained model in Amazon SageMaker. Visualize the data in Amazon QuickSight.
D. Use Amazon Kinesis Data Streams to stream the reservation data directly to Amazon S3. Detect high-demand outliers by using Amazon QuickSight ML Insights. Visualize the data in QuickSight.

Show Suggested Answer

Suggested Answer: A 🗳️

by SandeepGun at June 17, 2023, 3:44 p.m.

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Comments

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loict

9 months, 3 weeks ago

Selected Answer: A

A. YES - Quicksight has Z-score algorithm to detect outliers B. NO - Kinesis Data Streams cannot stream directly to Amazon S3. C. NO - RCF is overkill when QuickSight supports D. NO - Kinesis Data Streams cannot stream directly to Amazon S3.

upvoted 3 times

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chet100

10 months ago

both a and c are right.. quicker is a .. https://aws.amazon.com/quicksight/features-ml/

upvoted 1 times

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Mickey321

10 months, 1 week ago

Selected Answer: A

Amazon Kinesis Data Firehose is a fully managed service that makes it easy to stream data to Amazon S3. Amazon QuickSight ML Insights is a feature of Amazon QuickSight that allows you to detect outliers in your data using machine learning algorithms. Amazon QuickSight is a fully managed business intelligence service that allows you to visualize your data in dashboards.

upvoted 2 times

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kaike_reis

10 months, 2 weeks ago

Selected Answer: A

Letters B - D are wrong, because KDS has no load power, that is, directly saving the files in any other service (you would need, for example, a KDF coupled to KDS). Letter A is correct, as QuickSight has tools to identify outliers. Letter C would be correct, but it requires more development to use something we already have in QuickSight.

upvoted 1 times

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ADVIT

11 months, 4 weeks ago

Selected Answer: A

It's should be Firehose, and then it's should be least development effort, SageMaker is complicated and require a lot of effort. so it's A.

upvoted 1 times

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SandeepGun

1 year ago

Selected Answer: A

Keywords Near real-time, visualization with minimal dev efforts

upvoted 2 times

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