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Google Professional ML Engineer Exam (Professional Machine Learning Engineer Exam) - Google Cloud Exam Questions
Last updated on June 20, 2026
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1
Question
You have created a Vertex Al pipeline that includes two steps. The first step preprocesses 10 TB data completes in about 1 hour, and saves the result in a Cloud Storage bucket The second step uses the processed data to train a model You need to update the model's code to allow you to test different algorithms You want to reduce pipeline execution time and cost, while also minimizing pipeline changes What should you do?
Options
A
Create another pipeline without the preprocessing step, and hardcode the preprocessed Cloud Storage file location for model training.
B
Configure a machine with more CPU and RAM from the compute-optimized machine family for the data preprocessing step.
C
Add a pipeline parameter and an additional pipeline step Depending on the parameter value the pipeline step conducts or skips data preprocessing and starts model training.
D
Enable caching for the pipeline job. and disable caching for the model training step.
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2
Question
You are working on a prototype of a text classification model in a managed Vertex AI Workbench notebook. You want to quickly experiment with tokenizing text by using a Natural Language Toolkit (NLTK) library. How should you add the library to your Jupyter kernel?
Options
A
Write a custom Dataflow job that uses NLTK to tokenize your text and saves the output to Cloud Storage.
B
Create a new Vertex Al Workbench notebook with a custom image that includes the NLTK library.
C
Install the NLTK library from a terminal by using the pip install nltk command.
D
Install the NLTK library from a Jupyter cell by using the! pip install nltk —user command.
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3
Question
You are collaborating on a model prototype with your team. You need to create a Vertex Al Workbench environment for the members of your team and also limit access to other employees in your project. What should you do?
Options
A
1. Grant the Vertex Al User role to the default Compute Engine service account.
2. Grant the Service Account User role to each team member on the default Compute Engine
service account.
3. Provision a Vertex Al Workbench user-managed notebook instance that uses the default
Compute Engine service account.
2. Grant the Service Account User role to each team member on the default Compute Engine
service account.
3. Provision a Vertex Al Workbench user-managed notebook instance that uses the default
Compute Engine service account.
B
1 Create a new service account and grant it the Vertex Al User role.
2 Grant the Service Account User role to each team member on the service account.
3. Grant the Notebook Viewer role to each team member.
4 Provision a Vertex Al Workbench user-managed notebook instance that uses the new service account.
2 Grant the Service Account User role to each team member on the service account.
3. Grant the Notebook Viewer role to each team member.
4 Provision a Vertex Al Workbench user-managed notebook instance that uses the new service account.
C
1. Create a new service account and grant it the Notebook Viewer role.
2 Grant the Service Account User role to each team member on the service account.
3 Grant the Vertex Al User role to each team member.
4. Provision a Vertex Al Workbench user-managed notebook instance that uses the new service
account.
2 Grant the Service Account User role to each team member on the service account.
3 Grant the Vertex Al User role to each team member.
4. Provision a Vertex Al Workbench user-managed notebook instance that uses the new service
account.
D
1 Grant the Vertex Al User role to the primary team member.
2. Grant the Notebook Viewer role to the other team members.
3. Provision a Vertex Al Workbench user-managed notebook instance that uses the primary user’s
account.
2. Grant the Notebook Viewer role to the other team members.
3. Provision a Vertex Al Workbench user-managed notebook instance that uses the primary user’s
account.
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4
Question
You built a custom ML model using scikit-learn. Training time is taking longer than expected. You decide to migrate your model to Vertex AI Training, and you want to improve the model’s training time. What should you try out first?
Options
A
Train your model in a distributed mode using multiple Compute Engine VMs.
B
Train your model with DLVM images on Vertex AI, and ensure that your code utilizes NumPy and SciPy internal methods whenever possible.
C
Migrate your model to TensorFlow, and train it using Vertex AI Training.
D
Train your model using Vertex AI Training with GPUs.
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5
Question
You are developing a mode! to detect fraudulent credit card transactions. You need to prioritize detection because missing even one fraudulent transaction could severely impact the credit card holder. You used AutoML to tram a model on users' profile information and credit card transaction dat
Select 2
Options
A
Decrease the score threshold.
B
Add more positive examples to the training set.
C
Increase the score threshold.
D
Reduce the maximum number of node hours for training.
E
Add more negative examples to the training set.
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