ExamTopics Logo
Mail Us[email protected]
Menu
Amazon Discussions
exam questions

Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

View all questions & answers for the AWS Certified Data Engineer - Associate DEA-C01 exam
Go to Exam

Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 37 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 37
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A data engineer must manage the ingestion of real-time streaming data into AWS. The data engineer wants to perform real-time analytics on the incoming streaming data by using time-based aggregations over a window of up to 30 minutes. The data engineer needs a solution that is highly fault tolerant.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use an AWS Lambda function that includes both the business and the analytics logic to perform time-based aggregations over a window of up to 30 minutes for the data in Amazon Kinesis Data Streams.
  • B. Use Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to analyze the data that might occasionally contain duplicates by using multiple types of aggregations.
  • C. Use an AWS Lambda function that includes both the business and the analytics logic to perform aggregations for a tumbling window of up to 30 minutes, based on the event timestamp.
  • D. Use Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to analyze the data by using multiple types of aggregations to perform time-based analytics over a window of up to 30 minutes.
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by rralucard_ at Feb. 3, 2024, 3:40 p.m.
Disclaimers:
  • - ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
  • - Trademarks, certification & product names are used for reference only and belong to Amazon.

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
Submit Cancel
rralucard_
Highly Voted 1 year, 2 months ago
Selected Answer: D
D. Amazon Managed Service for Apache Flink for Time-Based Analytics over 30 Minutes: This option correctly identifies the use of Amazon Managed Service for Apache Flink for performing time-based analytics over a window of up to 30 minutes. Apache Flink is adept at handling such scenarios, providing capabilities for complex event processing, time-windowed aggregations, and maintaining state over time. This option would offer high fault tolerance and minimal operational overhead due to the managed nature of the service.
upvoted 7 times
...
div_div
Most Recent 3 months ago
Selected Answer: D
Lambda can not be used because it max processing limit of time is 15 min and remaining two option related to flink and using flink we can perfrom time-series and window size aggregation
upvoted 2 times
...
Linuslin
9 months ago
This link is not AWS documents but I think you guys can take a look. https://amandeep-singh-johar.medium.com/real-time-stream-processing-with-apache-flink-153992840f16
upvoted 2 times
...
Just_Ninja
11 months, 2 weeks ago
Selected Answer: D
Show the Docs
upvoted 2 times
...
DevoteamAnalytix
11 months, 3 weeks ago
Selected Answer: D
https://docs.aws.amazon.com/managed-flink/latest/java/how-operators.html#how-operators-agg
upvoted 1 times
...
harrura
1 year ago
this is crazy, the answers by bot are wrong, please don't rely on them. please care to open discussions and look for reasoning
upvoted 2 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
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago