Amazon
MLA-C01 · Question #177
A company has an ML model in Amazon SageMaker AI. An ML engineer needs to implement a monitoring solution to automatically detect changes in the input data distribution of model features. Which soluti
Sign in or unlock MLA-C01 to reveal the answer and full explanation for question #177. The question stem and answer options stay visible for context.
ML Solution Monitoring, Maintenance, and Security
Question
A company has an ML model in Amazon SageMaker AI. An ML engineer needs to implement a monitoring solution to automatically detect changes in the input data distribution of model features. Which solution will meet this requirement with the LEAST operational overhead?
Options
- AConfigure SageMaker Model Monitor. Establish a data quality baseline. Ensure that the
- BConfigure SageMaker Model Monitor. Establish a model quality baseline. Ensure that the
- CUse SageMaker Debugger with custom rules to track shifts in feature distributions. Configure
- DUse Amazon CloudWatch to directly observe the SageMaker AI endpoint's performance metrics.
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
#SageMaker Model Monitor#Data Drift Detection#ML Monitoring#Operational Overhead