Welcome to the Google Cloud Professional ML Engineer Practice Exam course. This course prepares you for the types of questions you will be asked and the timed environment of the actual exam. As with the actual exam, some questions have only one correct answer, while others require you to select two or three correct answers.
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
Each area has the same emphasis as in the official Google Cloud Professional Machine Learning Engineer exam. You can take as much time as you want for each question, but you must have answered all questions on the test within the allotted time. Any questions that you do not answer in the allotted time will be marked as incorrect. You can skip questions during the exam and return to the skipped questions later. To pass the exam, you must score at least 70% in the entire exam. We advise our students to retake all our tests until you have consistently scored above 90% in each test. We also advise our students to read the detailed explanations of all answers, whether they are correct or incorrect. The exam is updated regularly to include the latest information and even more questions!
Example question:
A team of data analysts at a human resources consulting firm is building a machine learning model to predict the number of days it will take to fill a job opening the company manages for its customers. The team has structured data for its training data set, but does not have a lot of experience choosing machine learning algorithms. Which of the following Google services should the team use to build this machine learning model?
A: AutoML Tables
B: BigQuery ML
C: AI Platform Training
D: AI Platform Notebooks
Answer: A
Explanation:
AutoML Tables is a good choice for teams that have structured training data but may not have the time or expertise to determine the right machine learning algorithm for their problem. Another benefit of using AutoML Tables is it takes care of all the work to tune and optimize the model.
The other choices require some specific knowledge of machine learning algorithms and programming languages.
THE MOST IMPORTANT FEATURES OF THESE POPULAR PRACTICE EXAMS
DETAILED EXPLANATIONS: Each question has a detailed explanation of why the answer is right or wrong.
HIGH QUALITY QUESTIONS: We have spared no expense or effort in creating a practice-based course to ensure you are fully prepared for the exam.
RANDOM-GENERATED QUESTIONS: Each time you take the test, the questions and answers are randomly selected to ensure you learn, not memorise.
DEVELOPED BY SPECIALIST: Developed by experts who actually passed the Google Cloud Professional Machine Learning Engineer exam!
ALWAYS UP TO DATE: Our question set is constantly updated based on feedback from real exam takers. New questions are added regularly to expand our question pool.
ACTIVE Q&A FORUM: In this discussion forum, students post questions and share their recent exam experiences and provide feedback on the topics covered.
MOBILE ACCESS: Study on the go and access all resources from your mobile phone - anytime, anywhere. Download the Udemy app, sign up and you're ready to go!
SUPPORT: Got questions? Don't worry, we've got your back. Our course includes friendly and timely support.
We have a 30-day 100% money back guarantee. So if you're not happy with your purchase, we'll refund your course - no questions asked! Can't wait to see you in the Google Cloud Professional Machine Learning Engineer course!
