Free Google Professional-Cloud-Security-Engineer Exam Questions
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Google Professional-Cloud-Security-Engineer Exam Questions
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Provided By: Google
- Exam: Professional Cloud Security Engineer
- Certification: Google Cloud Certified
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Total Questions: 299
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Updated On: Jun 04, 2025
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Rated: 4.9 |
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Online Users: 598
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Question 1
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A company is running their webshop on Google Kubernetes Engine and wants to analyze customertransactions in BigQuery. You need to ensure that no credit card numbers are stored in BigQueryWhat should you do?
Answer: D
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Question 2
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You will create a new Service Account that should be able to list the Compute Engine instances in the project.You want to follow Google-recommended practices.What should you do?
Answer: B
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Question 3
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Your organization is building a real-time recommendation engine using ML models that process live user
activity data stored in BigQuery and Cloud Storage. Each new model developed is saved to Artifact Registry.
This new system deploys models to Google Kubernetes Engine and uses Pub/Sub for message queues. Recent
industry news has been reporting attacks exploiting ML model supply chains. You need to enhance the
security in this serverless architecture, specifically against risks to the development and deployment pipeline.
What should you do?
Answer: B
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Your organization is building a real-time recommendation engine using ML models that process live user
activity data stored in BigQuery and Cloud Storage. Each new model developed is saved to Artifact Registry.
This new system deploys models to Google Kubernetes Engine and uses Pub/Sub for message queues. Recent
industry news has been reporting attacks exploiting ML model supply chains. You need to enhance the
security in this serverless architecture, specifically against risks to the development and deployment pipeline.
What should you do?
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Question 4
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Your organization is building a real-time recommendation engine using ML models that process live user
activity data stored in BigQuery and Cloud Storage. Each new model developed is saved to Artifact Registry.
This new system deploys models to Google Kubernetes Engine and uses Pub/Sub for message queues. Recent
industry news has been reporting attacks exploiting ML model supply chains. You need to enhance the
security in this serverless architecture, specifically against risks to the development and deployment pipeline.
What should you do?
Answer: B
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Your organization is building a real-time recommendation engine using ML models that process live user
activity data stored in BigQuery and Cloud Storage. Each new model developed is saved to Artifact Registry.
This new system deploys models to Google Kubernetes Engine and uses Pub/Sub for message queues. Recent
industry news has been reporting attacks exploiting ML model supply chains. You need to enhance the
security in this serverless architecture, specifically against risks to the development and deployment pipeline.
What should you do?
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Question 5
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An organization adopts Google Cloud Platform (GCP) for application hosting services and needs guidance onsetting up password requirements for their Cloud Identity account. The organization has a password policyrequirement that corporate employee passwords must have a minimum number of characters.Which Cloud Identity password guidelines can the organization use to inform their new requirements?
Answer: A
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