Exam AWS Certified Data Analytics - Specialty All Questions

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Exam AWS Certified Data Analytics - Specialty topic 1 question 107 discussion

Exam question from Amazon's AWS Certified Data Analytics - Specialty

Question #: 107
Topic #: 1

[All AWS Certified Data Analytics - Specialty Questions]

A company owns facilities with IoT devices installed across the world. The company is using Amazon Kinesis Data Streams to stream data from the devices to
Amazon S3. The company's operations team wants to get insights from the IoT data to monitor data quality at ingestion. The insights need to be derived in near- real time, and the output must be logged to Amazon DynamoDB for further analysis.
Which solution meets these requirements?

A. Connect Amazon Kinesis Data Analytics to analyze the stream data. Save the output to DynamoDB by using the default output from Kinesis Data Analytics.
B. Connect Amazon Kinesis Data Analytics to analyze the stream data. Save the output to DynamoDB by using an AWS Lambda function.
C. Connect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda function. Save the output to DynamoDB by using the default output from Kinesis Data Firehose.
D. Connect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda function. Save the data to Amazon S3. Then run an AWS Glue job on schedule to ingest the data into DynamoDB.

Show Suggested Answer

Suggested Answer: C 🗳️

by taizo777 at Aug. 22, 2021, 10:49 a.m.

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awsmani

Highly Voted 3 years, 6 months ago

It is B. https://aws.amazon.com/about-aws/whats-new/2017/12/amazon-kinesis-data-analytics-can-now-output-real-time-sql-results-to-aws-lambda/

upvoted 15 times

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cloudlearnerhere

Highly Voted 2 years, 7 months ago

Correct answer is B as Kinesis Data Analytics would help generate near-real time and using Lambda function the output can be saved to DynamoDB. Using AWS Lambda as a destination allows you to more easily perform post-processing of your SQL results before sending them to a final destination.Lambda functions can deliver analytic information to a variety of AWS services and other destinations, Option A is wrong as Kinesis Data Analytics does not support DynamoDB as its default output destination. Options C & D are wrong as Kinesis Data Firehose does not support DynamoDB as its default output destination.

upvoted 9 times

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pk349

Most Recent 2 years, 1 month ago

B: I passed the test

upvoted 1 times

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Chelseajcole

2 years, 4 months ago

Kinesis data analytic can send output to lambda and lambda send it DynamoDB https://aws.amazon.com/about-aws/whats-new/2017/12/amazon-kinesis-data-analytics-can-now-output-real-time-sql-results-to-aws-lambda/

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[Removed]

2 years, 5 months ago

Answer: B

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virginia167

2 years, 7 months ago

It’s C https://www.teamdatascience.com/post/how-to-write-kinesis-data-stream-to-dynamodb

upvoted 1 times

allanm

2 years, 7 months ago

If you want to query/analyse streaming data in near real time you need to use KDA rather than lambda.

upvoted 2 times

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rocky48

2 years, 10 months ago

Selected Answer: B

Answer: B

upvoted 1 times

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Bik000

3 years ago

Selected Answer: B

I think the Answer should be B

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sanpak

3 years, 5 months ago

Why not D ?? "The insights must be extracted in near-real time" and KDF is the right candidate for this.

upvoted 2 times

WLELEL2

3 years, 3 months ago

Glue is not near-real time

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MWL

3 years, 1 month ago

KDF can do some data transformation, but if you want to do analysis, DF is not suitable.

upvoted 1 times

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ovilla

3 years, 7 months ago

I agree with B

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VAG1595

3 years, 7 months ago

Answer: B

upvoted 2 times

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itsharpreet

3 years, 8 months ago

I think answer is C. Kinesis analytics can help in performing near real time analysis. Then to storing it to DDB. Kinesis analytics can send data to lambda and lambda can help write to DDB table.

upvoted 2 times