MLS-C01 Question 47
Select 4You are a Machine Learning Engineer working on a real-time predictive analytics pipeline for a rideshare application. The pipeline needs to process and analyze incoming ride request data streams to predict demand hotspots in real time. You decide to use Amazon Managed Service for Apache Flink to process the data streams. Which of the following steps are necessary to set up and operate your application using Amazon Managed Service for Apache Flink?
- A
Write your stream processing logic using Apache Flink libraries and package it into a JAR file.
- B
Configure a Kinesis Data Analytics application in the AWS Management Console and upload your JAR file.
- C
Manually provision and manage Apache Kafka clusters to feed data into the application.
- D
Set up an IAM role with the necessary permissions to allow the application to access input and output streams.
- E
Integrate the application with Amazon S3 for storing checkpoints and application state.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
Amazon Managed Service for Apache Flink simplifies the deployment and management of real-time stream processing applications using Apache Flink. You start by writing your Flink application code and packaging it into a JAR file. This JAR file is then uploaded to a Kinesis Data Analytics application, which acts as the managed service for deploying your Flink application. The service integrates seamlessly with AWS resources like Amazon S3 for state management and uses IAM roles for secure access to input and output streams. There is no need to manually provision or manage data streaming infrastructure like Apache Kafka clusters, as AWS provides managed alternatives such as Amazon Kinesis Data Streams and Amazon MSK.
- A. Correct.
Correct: Amazon Managed Service for Apache Flink allows you to upload your custom Apache Flink application code in the form of a JAR file.
- B. Correct.
Correct: You need to configure a Kinesis Data Analytics application, which serves as the entry point for deploying and managing your Apache Flink application.
- C. Incorrect.
Incorrect: There is no need to manually provision Apache Kafka clusters; you can use managed services like Amazon Kinesis Data Streams or Amazon MSK to feed data into the application.
- D. Correct.
Correct: IAM roles are required to grant the necessary permissions for accessing input and output streams (e.g., Kinesis streams, S3 buckets).
- E. Correct.
Correct: Amazon Managed Service for Apache Flink supports integration with Amazon S3 for storing checkpoints and maintaining application state.