Google Professional ML Engineer Test 2023

Welcome and good day this practice test is for any one want to prove himself in Google Professional ML Engineer

What is the Google Professional ML Engineer?

Professional Machine Learning Engineer

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 considers responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. The ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. 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:

1. Frame ML problems

2. Develop ML models

3. Architect ML solutions

4. Automate and orchestrate ML pipelines

5. Design data preparation and processing systems

6. Monitor, optimize, and maintain ML solutions

About of the real certification exam:

Length: Two hours

Registration fee: $200 (plus tax where applicable)

Language: English

Exam format: 50-60 multiple choice and multiple select questions

Exam Delivery Method:

a. Take the online-proctored exam from a remote location, review the online testing requirements

b. Take the onsite-proctored exam at a testing center, locate a test center near you

Prerequisites: None

Recommended experience: 3+ years of industry experience including 1 or more years designing and managing solutions using Google Cloud.

Certification Renewal / Recertification: Candidates must recertify in order to maintain their certification status. Unless explicitly stated in the detailed exam descriptions, all Google Cloud certifications are valid for two years from the date of certification. Recertification is accomplished by retaking the exam during the recertification eligibility time period and achieving a passing score. You may attempt recertification starting 60 days prior to your certification expiration date.

This exam format:

Length: 60 min

Language: English

Number of questions: 30 multiple choice and multiple select questions

Passing scor: 80%

Who this course is for:

• For Student or people who want to learn, be professional and get certified on Google Professional ML Engineer