Free Google Professional-Cloud-Security-Engineer Exam Questions

Question 1

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 2

You have just created a new log bucket to replace the _Default log bucket. You want to route all log entries that are currently routed to the _Default log bucket to this new log bucket in the most efficient manner. What should you do?

A : Create a user-defined sink with inclusion filters copied from the _Default sink. Select the new log bucket as the sink destination.

B : Create exclusion filters for the _Default sink to prevent it from receiving new logs. Create a userdefined sink, and select the new log bucket as the sink destination.

C : Disable the _Default sink. Create a user-defined sink and select the new log bucket as the sink destination.

D : Edit the _Default sink, and select the new log bucket as the sink destination.

Answer: D

Question 3

Your Google Cloud environment has one organization node, one folder named Apps." and several projects within that folder The organizational node enforces the constraints/iam.allowedPolicyMemberDomains organization policy, which allowsmembers from the terramearth.com organization The "Apps" folder enforces the constraints/iam.allowedPolicyMemberDomains organization policy, which allows members from the flowlogistic.com organization. It also has the inheritFromParent: false property. You attempt to grant access to a project in the Apps folder to the user testuser@terramearth.com. What is the result of your action and why?

A : The action fails because a constraints/iam.allowedPolicyMemberDomains organization policy must be defined on the current project to deactivate the constraint temporarily

B : The action fails because a constraints/iam.allowedPolicyMemberDomains organization policy is in place and only members from the flowlogistic.com organization are allowed

C : The action succeeds because members from both organizations, terramearth. com or flowlogistic.com, are allowed on projects in the "Apps" folder

D : The action succeeds and the new member is successfully added to the project's Identity and Access Management (1AM) policy because all policies are inherited by underlying folders and projects.

Answer: B

Question 4

You have just created a new log bucket to replace the _Default log bucket. You want to route all log entries that are currently routed to the _Default log bucket to this new log bucket in the most efficient manner. What should you do?

A : Create a user-defined sink with inclusion filters copied from the _Default sink. Select the new log bucket as the sink destination.

B : Create exclusion filters for the _Default sink to prevent it from receiving new logs. Create a userdefined sink, and select the new log bucket as the sink destination.

C : Disable the _Default sink. Create a user-defined sink and select the new log bucket as the sink destination.

D : Edit the _Default sink, and select the new log bucket as the sink destination.

Answer: D

Question 5

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