Google Professional Machine Learning Engineer Practice Exams

Google Professional Machine Learning Engineer Practice Exams

Google Professional Machine Learning Engineer Practice Exams

Attend this GCP Machine Learning Engineer Professional Practice Tests & you’ll get above 90% Score on Main Exam !

Language: english

Note: 0/5 (0 notes) 165 students

Instructor(s): Salim Dehri Kataani | 8x Azure , 5x AWS & ITIL4 Certified

Last update: None

What you’ll learn

  • Pass Google Professional Machine Learning Engineer certification
  • Detailed explanations for each question, right and wrong answer
  • Similar difficulty to the actual exam.
  • Check your knowledge

 

Requirements

  • No requirements or prerequisites

 

Description

Practice tests package

In this practice test, you will find 45 unique practice questions similar to the ones you will find in the official exams. They are based on official Google Cloud Platform: Machine learning Engineer exams and they contain a full explanation of the answers. In addition, we provide a link to the official Google cloud documentation for further research of the answer.

By buying this practice test you will get:

1. Lifetime access to updated questions based on the official Google Cloud syllabus

2. Active support from experts and a huge pool of students

3. Full explanation on the answers


A Professional Machine Learning Engineer designs builds, and productions ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. ML Engineers consider responsible AI throughout the ML development process and collaborate closely with other job roles to ensure the long-term success of models. They should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation, as well as 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

  • Architect ML solutions

  • Design data preparation and processing systems

  • Develop ML models

  • Automate and orchestrate ML pipelines

  • Monitor, optimize, and maintain ML solutions


This learning path is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam. Even if you don’t plan to take the exam, these courses will help you gain a solid understanding of how to implement machine learning on the Google Cloud Platform. Candidates who pass the exam will earn the Google Professional Machine Learning Engineer certification.

The Professional Machine Learning Engineer exam tests your knowledge of six subject areas.

Learning Objectives

  • Frame machine learning problems

  • Design a machine learning solution architecture

  • Prepare and process data

  • Develop machine learning models

  • Automate and orchestrate machine learning pipelines

  • Monitor, optimize, and maintain machine learning solutions

What does it take to earn the Google Certified Professional Machine Learning Engineer certification?

To earn this certification, you will need to enroll and pass the GCP Professional Machine Learning Engineer certification exam by securing a minimum of 70%. The exam features multiple-choice and multiple-select question formats with 2 hours of time duration. This exam is available in English.

Benefits

  • Cloud ML Engineer: If you wish to become a successful cloud ML engineer and provide ML-based solutions on any cloud or specifically GCP then this GCP Professional Machine Learning Engineer certification is a must-have for you.

  • Future Skills: You will gain enormous knowledge of cloud, ML, and AI concepts to demonstrate and provide organizations with scalable and long-term solutions by gaining expertise in these revolutionary domains.

  • Career Growth: You will become the most sought-after professional ML engineer and land a job role with an average of a 35% salary hike.

  • Sectoral Exposure: You can use the GCP ML skills to work across different job roles and different sectors such as IT, banking, healthcare, manufacturing, and so on.

What is the exam type?

Multiple Choice and Multiple Select

What is the exam Fee?

The exam costs $200.

Eligibility/Pre-Requisite

None

Exam Languages

English

Exam Duration

120 Minutes

 

Who this course is for

  • Anyone who want to pass Google Professional Machine Learning Engineer Exam

 

Course content

  • GCP Machine Learning #1
  • GCP Machine Learning #2

 

Google Professional Machine Learning Engineer Practice ExamsGoogle Professional Machine Learning Engineer Practice Exams

Time remaining or 835 enrolls left

 

Don’t miss any coupons by joining our Telegram group 

Udemy Coupon Code 100% off | Udemy Free Course | Udemy offer | Course with certificate