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Exam AWS Certified Machine Learning - Specialty topic 1 question 214 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 214
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A retail company is ingesting purchasing records from its network of 20,000 stores to Amazon S3 by using Amazon Kinesis Data Firehose. The company uses a small, server-based application in each store to send the data to AWS over the internet. The company uses this data to train a machine learning model that is retrained each day. The company's data science team has identified existing attributes on these records that could be combined to create an improved model.

Which change will create the required transformed records with the LEAST operational overhead?

  • A. Create an AWS Lambda function that can transform the incoming records. Enable data transformation on the ingestion Kinesis Data Firehose delivery stream. Use the Lambda function as the invocation target.
  • B. Deploy an Amazon EMR cluster that runs Apache Spark and includes the transformation logic. Use Amazon EventBridge (Amazon CloudWatch Events) to schedule an AWS Lambda function to launch the cluster each day and transform the records that accumulate in Amazon S3. Deliver the transformed records to Amazon S3.
  • C. Deploy an Amazon S3 File Gateway in the stores. Update the in-store software to deliver data to the S3 File Gateway. Use a scheduled daily AWS Glue job to transform the data that the S3 File Gateway delivers to Amazon S3.
  • D. Launch a fleet of Amazon EC2 instances that include the transformation logic. Configure the EC2 instances with a daily cron job to transform the records that accumulate in Amazon S3. Deliver the transformed records to Amazon S3.
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Suggested Answer: A 🗳️
by drcok87 at Feb. 17, 2023, 7:27 p.m.
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seifskl
5 months, 4 weeks ago
Selected Answer: A
A is correct, why not C : C require updating software in each of the 20,000 stores, which is operationally intensive. Moreover, the S3 File Gateway is designed for on-premises integration with S3.
upvoted 2 times
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Mickey321
8 months, 1 week ago
Selected Answer: A
Answer A
upvoted 1 times
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Valcilio
1 year, 1 month ago
Selected Answer: A
Firehose can use lambda functions to do data transformations!
upvoted 4 times
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AjoseO
1 year, 2 months ago
Selected Answer: A
A is the best option for this use case. By creating an AWS Lambda function that can transform the incoming records and enabling data transformation on the ingestion Kinesis Data Firehose delivery stream, the company can transform the data with minimal operational overhead. The Lambda function can be the invocation target for Kinesis Data Firehose, so that data is transformed as it is ingested. This approach is serverless and scalable, and it does not require the company to manage any additional infrastructure.
upvoted 4 times
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wolfsong
1 year, 2 months ago
A: Lambda as invocation target just means that the function will invoke in response to the Firehose stream. See following: https://docs.aws.amazon.com/lambda/latest/dg/lambda-services.html https://docs.aws.amazon.com/lambda/latest/dg/services-kinesisfirehose.html note: invocationid in Firehose message event.
upvoted 3 times
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drcok87
1 year, 2 months ago
a - seems to be an easy to manage solution however the phrase "Use the Lambda function as the invocation target." confuses me a bit.
upvoted 2 times
JonSno
11 months ago
well that is used by Kinesis Data Firehouse..
upvoted 1 times
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