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Google Professional-Machine-Learning-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Machine-Learning-Engineer
Exam Name:
Google Professional Machine Learning Engineer
Certification:
Vendor:
Questions:
285
Last Updated:
Jul 15, 2025
Exam Status:
Stable
Google Professional-Machine-Learning-Engineer

Professional-Machine-Learning-Engineer: Machine Learning Engineer Exam 2025 Study Guide Pdf and Test Engine

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Google Professional Machine Learning Engineer Questions and Answers

Question 1

You are developing a model to help your company create more targeted online advertising campaigns. You need to create a dataset that you will use to train the model. You want to avoid creating or reinforcing unfair bias in the model. What should you do?

Choose 2 answers

Options:

A.

Include a comprehensive set of demographic features.

B.

include only the demographic groups that most frequently interact with advertisements.

C.

Collect a random sample of production traffic to build the training dataset.

D.

Collect a stratified sample of production traffic to build the training dataset.

E.

Conduct fairness tests across sensitive categories and demographics on the trained model.

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Question 2

You have been asked to develop an input pipeline for an ML training model that processes images from disparate sources at a low latency. You discover that your input data does not fit in memory. How should you create a dataset following Google-recommended best practices?

Options:

A.

Create a tf.data.Dataset.prefetch transformation

B.

Convert the images to tf .Tensor Objects, and then run Dataset. from_tensor_slices{).

C.

Convert the images to tf .Tensor Objects, and then run tf. data. Dataset. from_tensors ().

D.

Convert the images Into TFRecords, store the images in Cloud Storage, and then use the tf. data API to read the images for training

Question 3

You work for a gaming company that manages a popular online multiplayer game where teams with 6 players play against each other in 5-minute battles. There are many new players every day. You need to build a model that automatically assigns available players to teams in real time. User research indicates that the game is more enjoyable when battles have players with similar skill levels. Which business metrics should you track to measure your model’s performance? (Choose One Correct Answer)

Options:

A.

Average time players wait before being assigned to a team

B.

Precision and recall of assigning players to teams based on their predicted versus actual ability

C.

User engagement as measured by the number of battles played daily per user

D.

Rate of return as measured by additional revenue generated minus the cost of developing a new model