GCP Professional Machine Learning Engineer practice tests are patterned after the latest exam format and this the CLOSEST to the actual exam.This is an updated sample practice questions as per latest changes in exam pattern for 2022.

This course covers question from all topics required for the Google Professional Machine Learning exam

A Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques.The ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates scalable solutions for optimal performance

The Professional Machine Learning Engineer exam assesses your ability to:

Frame ML problems

Develop ML models

Design data preparation and processing systems

Architect ML solutions

Monitor, optimize, and maintain ML solutions

Automate and orchestrate ML pipelines.

I will recommend to give attempt to this exam after doing enough preparation.

Exam format: 60 questions, 120 minutes. Most of them are single-choice questions, but there were fewer than 5 multiple-choice questions. You are not required to do any calculations, and you don’t get a paper for notes. There are questions with code snippets in Python.