nerdexam
GoogleGoogle

PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #96

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #96: Real Exam Question with Answer & Explanation

Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #96. The question stem and answer options stay visible for context.

Submitted by packet_pusher· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions

Question

You work for a large social network service provider whose users post articles and discuss news. Millions of comments are posted online each day, and more than 200 human moderators constantly review comments and flag those that are inappropriate. Your team is building an ML model to help human moderators check content on the platform. The model scores each comment and flags suspicious comments to be reviewed by a human. Which metric(s) should you use to monitor the model's performance?

Options

  • ANumber of messages flagged by the model per minute
  • BNumber of messages flagged by the model per minute confirmed as being inappropriate by
  • CPrecision and recall estimates based on a random sample of 0.1% of raw messages each minute
  • DPrecision and recall estimates based on a sample of messages flagged by the model as

Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer

You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER 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

#Model Monitoring#Evaluation Metrics#Precision and Recall#Human-in-the-loop
Full PROFESSIONAL-MACHINE-LEARNING-ENGINEER PracticeBrowse All PROFESSIONAL-MACHINE-LEARNING-ENGINEER Questions