Free Google Professional-Cloud-Security-Engineer Exam Questions

Question 1

A customer has 300 engineers. The company wants to grant different levels of access and efficiently manage

IAM permissions between users in the development and production environment projects.

Which two steps should the company take to meet these requirements? (Choose two.)

A : Create a project with multiple VPC networks for each environment.

B : Create a folder for each development and production environment.

C : Create a Google Group for the Engineering team, and assign permissions at the folder level.

D : Create an Organizational Policy constraint for each folder environment.

E : Create projects for each environment, and grant IAM rights to each engineering user.

Answer: B,C

Question 2

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?

A : Limit external libraries and dependencies that are used for the ML models as much as possible. Continuously rotate encryption keys that are used to access the user data from BigQuery and Cloud Storage.

B : Enable container image vulnerability scanning during development and pre-deployment. Enforce Binary Authorization on images deployed from Artifact Registry to your continuous integration and continuous deployment (CI/CD) pipeline.

C : Thoroughly sanitize all training data prior to model development to reduce risk of poisoning attacks. Use IAM for authorization, and apply role-based restrictions to code repositories and cloud services.

D : Develop strict firewall rules to limit external traffic to Cloud Run instances. Integrate intrusion detection systems (IDS) for real-time anomaly detection on Pub/Sub message flows.

Answer: B

Question 3

As a member of the security team for a Smart Home Automation company, what steps should you take to reduce the scope of systems subject to PCI audit standards in your GCP project that includes credit card payment processing systems, web applications, and data processing systems?

A : It is recommended to utilize VPN to establish connections between your office and cloud environments.

B : Separate the GCP project to house the cardholder data environment.

C : It is recommended to implement multi-factor authentication to secure the admin access to the web application.

D : Utilize solely PA-DSS compliant certified applications.

Answer: B

Question 4

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?

A : Limit external libraries and dependencies that are used for the ML models as much as possible. Continuously rotate encryption keys that are used to access the user data from BigQuery and Cloud Storage.

B : Enable container image vulnerability scanning during development and pre-deployment. Enforce Binary Authorization on images deployed from Artifact Registry to your continuous integration and continuous deployment (CI/CD) pipeline.

C : Thoroughly sanitize all training data prior to model development to reduce risk of poisoning attacks. Use IAM for authorization, and apply role-based restrictions to code repositories and cloud services.

D : Develop strict firewall rules to limit external traffic to Cloud Run instances. Integrate intrusion detection systems (IDS) for real-time anomaly detection on Pub/Sub message flows.

Answer: B

Question 5

You need to enforce a security policy in your Google Cloud organization that prevents users from exposing objects in their buckets externally. There are currently no buckets in your organization. Which solution should you implement proactively to achieve this goal with the least operational overhead?

A : eate an hourly cron job to run a Cloud Function that finds public buckets and makes them private.

B : able the constraints/storage.publicAccessPrevention constraint at the organization level.

C : able the constraints/storage.uniformBucketLevelAccess constraint at the organization level.

D : eate a VPC Service Controls perimeter that protects the storage.googleapis.com service in your projects that contains buckets. Add any new project that contains a bucket to the perimeter.

Answer: B