Free Google Professional-Machine-Learning-Engineer Exam Questions

Absolute Free Professional-Machine-Learning-Engineer Exam Practice for Comprehensive Preparation 

  • Google Professional-Machine-Learning-Engineer Exam Questions
  • Provided By: Google
  • Exam: Professional Machine Learning Engineer
  • Certification: Google Cloud Certified
  • Total Questions: 289
  • Updated On: Jan 12, 2026
  • Rated: 4.9 |
  • Online Users: 578
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  • Question 1
    • Your team trained and tested a DNN regression model with good results. Six months after deployment, the model is performing poorly due to a change in the distribution of the input data. How should you address the input differences in production?

      Answer: A
  • Question 2
    • You are a lead ML engineer at a retail company. You want to track and manage ML metadata in a centralized way so that your team can have reproducible experiments by generating artifacts. Which management solution should you recommend to your team?


      Answer: D
  • Question 3
    • You work on a team that builds state-of-the-art deep learning models by using the TensorFlow framework. Your team runs multiple ML experiments each week which makes it difficult to track the experiment runs. You want a simple approach to effectively track, visualize and debug ML experiment runs on Google Cloud while minimizing any overhead code. How should you proceed?


      Answer: A
  • Question 4
    • Your data science team needs to rapidly experiment with various features, model architectures, and hyperparameters. They need to track the accuracy metrics for various experiments and use an API to query the metrics over time. What should they use to track and report their experiments while minimizing manual effort?


      Answer: C
  • Question 5
    • You have deployed multiple versions of an image classification model on AI Platform. You want to monitor the performance of the model versions over time. How should you perform this comparison?


      Answer: D
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