AmazonAmazon
MLA-C01 · Question #32
MLA-C01 Question #32: Real Exam Question with Answer & Explanation
Sign in or unlock MLA-C01 to reveal the answer and full explanation for question #32. The question stem and answer options stay visible for context.
Deployment and Orchestration of ML Workflows
Question
A financial company receives a high volume of real-time market data streams from an external provider. The streams consist of thousands of JSON records every second. The company needs to implement a scalable solution on AWS to identify anomalous data points. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AIngest real-time data into Amazon Kinesis data streams. Use the built-in
- BIngest real-time data into Amazon Kinesis data streams. Deploy an Amazon SageMaker endpoint
- CIngest real-time data into Apache Kafka on Amazon EC2 instances. Deploy an Amazon
- DSend real-time data to an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Create an
Unlock MLA-C01 to see the answer
You've previewed enough free MLA-C01 questions. Unlock MLA-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.
Topics
#Real-time streaming#Anomaly detection#Kinesis Data Analytics#Operational efficiency