nerdexam
GoogleGoogle

PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #252

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #252: Real Exam Question with Answer & Explanation

Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #252. The question stem and answer options stay visible for context.

Submitted by joshua94· Apr 18, 2026ML pipeline operationalization

Question

You have created a Vertex AI pipeline that automates custom model training. You want to add a pipeline component that enables your team to most easily collaborate when running different executions and comparing metrics both visually and programmatically. What should you do?

Options

  • AAdd a component to the Vertex AI pipeline that logs metrics to a BigQuery table. Query the table
  • BAdd a component to the Vertex AI pipeline that logs metrics to a BigQuery table. Load the table
  • CAdd a component to the Vertex AI pipeline that logs metrics to Vertex ML Metadata. Use Vertex
  • DAdd a component to the Vertex AI pipeline that logs metrics to Vertex ML Metadata. Load the

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

#Vertex AI Pipelines#ML Metadata#Experiment Tracking#Metric Comparison
Full PROFESSIONAL-MACHINE-LEARNING-ENGINEER PracticeBrowse All PROFESSIONAL-MACHINE-LEARNING-ENGINEER Questions