Free Google Professional-Machine-Learning-Engineer Exam Questions

Become Google Certified with updated Professional-Machine-Learning-Engineer exam questions and correct answers

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Total 289 Questions | Updated On: Mar 24, 2026

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Question 1

During batch training of a neural network, you notice that there is an oscillation in the loss. How should you adjust your model to ensure that it converges?

A : crease the size of the training batch.

B : crease the learning rate hyperparameter.

C : crease the learning rate hyperparameter.

Answer: C

Question 2

You are training an ML model on a large dataset. You are using a TPU to accelerate the training process You notice that the training process is taking longer than expected. You discover that the TPU is not reaching its full capacity. What should you do?

A : Increase the learning rate

B : Increase the number of epochs

C : Decrease the learning rate

D : Increase the batch size

Answer: D

Question 3

You are developing an ML model to predict house prices. While preparing the data, you discover that an important predictor variable, distance from the closest school, is often missing and does not have high variance. Every instance (row) in your data is important. How should you handle the missing data?

A : lete the rows that have missing values.

B : ply feature crossing with another column that does not have missing values.

C : edict the missing values using linear regression.

D : place the missing values with zeros.

Answer: C

Question 4

You need to train a natural language model to perform text classification on product descriptions that contain millions of examples and 100,000 unique words. You want to preprocess the words individually so that they can be fed into a recurrent neural network. What should you do?

A : eate a hot-encoding of words, and feed the encodings into your model.

B : entify word embeddings from a pre-trained model, and use the embeddings in your model.

C : rt the words by frequency of occurrence, and use the frequencies as the encodings in your model.

D : ign a numerical value to each word from 1 to 100,000 and feed the values as inputs in your model

Answer: B

Question 5

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?

A : ore your tf.logging data in BigQuery.

B : nage all relational entities in the Hive Metastore.

C : ore all ML metadata in Google Cloud’s operations suite.

D : nage your ML workflows with Vertex ML Metadata.

Answer: C

Page: 1 / 58

Total 289 Questions | Updated On: Mar 24, 2026

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