Master your Google Certified Machine Learning Engineer with 3 practice exams of 100 questions each pulled from a database of 825 questions. Immediate feedback after each question. Plus 1 certification style exam with gap analysis report to show areas of weakness.
more infoWhat I appreciate most about Plum Stone Prep’s online practice tests is their emulation of the real exam. Entering the exam room, I felt a strong sense of confidence in my grasp of the material, and upon leaving, I had no doubt that my investment of time had been thoroughly justified.
Janice B. New Jersey
What you get in this package
Hey there, future Machine Learning Rockstar! Ready to take on the Google Certified Machine Learning Engineer Exam and show the world what you're made of? Look no further! Our Practice Exam Package is your trusty sidekick on this epic journey. We totally get it – exams can be scary, but we're here to make them as fun as a tech meetup.
In this package you get:
- 3 practice exams with immediate feedback after each response
- A Gap Analysis report at the end of the practice exams to show areas of weakness
- 1 sample certification exam (answers not shown) that simulates the real exam
With three prep exam attempts and one high-stakes round, you'll be riding high with confidence. And guess what? We're all about making you shine even brighter with our feedback that transforms weaknesses into your secret strengths. Don't let doubts hold you back from becoming a Google-certified legend. Join us today, and let's make your machine learning dreams come true. The Google Certified Machine Learning Engineer badge is just around the corner – Prep with the Dude and let's go grab it together!
About the Certified Machine Learning Engineer exam
The Google Certified Machine Learning Engineer assesses your ability to design, build and deploy ML models using TensorFlow, BigQuery, Cloud Datalab etc. This certification is offered by Google Cloud as part of their cloud certification program. It is designed to validate an individual's skills in developing and deploying production machine learning systems using Google Cloud Platform tools and services.
The exam covers topics like building ML datasets and pipelines, training/deploying models, monitoring models in production, and designing end-to-end ML solutions. Candidates should have hands-on experience with TensorFlow, Keras, and other common ML libraries and frameworks. Overall, the certification demonstrates proficiency in deploying production ML systems on Google Cloud, and is a valuable credential for anyone looking to advance their career in ML engineering roles.
The exam is 2 hours long and consists of 100 multiple-choice questions. The passing score is 750 points or, approximately, 75%
Topics include:
* Monitoring & Debugging
* Model Training & Optimization
* ML Infrastructure
* Machine Learning Pipelines
* Google Cloud Platform
* Ethics & Fairness
* End-to-End ML Solutions
* Data Processing
Google Certified Machine Learning Engineer FAQ
What is the Google Certified Machine Learning Engineer exam?
The Google Certified Machine Learning Engineer exam is a certification offered by Google to validate an individual's expertise in designing, building, and productionizing machine learning models using Google Cloud technologies.
What are the prerequisites for the exam?
There are no formal prerequisites for the exam, but it is recommended that candidates have at least 3 years of industry experience in machine learning and deep knowledge of Google Cloud's machine learning products and services.
What topics are covered in the exam?
The exam covers a wide range of topics, including machine learning algorithms, data preparation, feature engineering, model training, evaluation, deployment, and monitoring. It also tests knowledge of Google Cloud services such as BigQuery, Cloud SQL, Cloud Storage, and AI Platform.
How much does the exam cost?
The exam costs $200.
How can I prepare for the exam?
Practice with the Dude! To prepare for the exam, you can review the official exam guide, take the Machine Learning on Google Cloud course, and practice with hands-on labs and sample questions (like ours!). It's also recommended to have practical experience with Google Cloud's machine learning tools and services.
How long is the certification valid?
The Google Certified Machine Learning Engineer certification is valid for 2 years from the date of certification.
Can I retake the exam if I don't pass?
Yes, you can retake the exam if you don't pass. However, you must wait 14 days before retaking the exam.
What are the benefits of becoming a Google Certified Machine Learning Engineer?
Becoming a Google Certified Machine Learning Engineer demonstrates your expertise in machine learning and Google Cloud technologies, which can enhance your career prospects and credibility. It can also give you access to exclusive resources and events from Google.
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