Professional Machine Learning Engineer Practice Exam

Test your Google Cloud knowledge with 10 free practice questions

Questions
10
Duration
Untimed
Passing Score
70%

Questions are randomized each time you take the exam

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About the Professional Machine Learning Engineer Exam

The Professional Machine Learning Engineer certification validates your ability to design, build, and productionize ML models to solve business challenges using Google Cloud technologies. This certification is ideal for ML engineers and data scientists who want to demonstrate their expertise in implementing ML solutions on Google Cloud Platform.

The exam covers architecting ML solutions, designing data preparation systems, developing and scaling ML models, automating ML pipelines, and monitoring AI solutions. You'll need hands-on experience with Vertex AI, BigQuery ML, TensorFlow, and other Google Cloud ML services, including generative AI capabilities.

Why Take This Certification?

  • Career Advancement: Google Cloud certifications are highly valued by employers
  • Business Value: Understand how cloud can transform business operations
  • Industry Recognition: Validate your cloud knowledge
  • Practical Knowledge: Learn real-world cloud solutions

Frequently Asked Questions

How many questions are in the actual exam?
The Professional Machine Learning Engineer exam consists of 50-60 questions that you need to complete in 2 hours (120 minutes). Questions are either multiple choice or multiple select.
What's the passing score?
Google Cloud does not publish exact passing scores. Focus on understanding the concepts thoroughly rather than memorizing answers. A score of 70% or higher is generally recommended for passing.
How do I access the full practice exam?
Click on the "Get Full Course on Udemy" button and use the promo code NEXARC to get 50% off the complete course with 390+ practice questions, detailed explanations, and lifetime access.