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Google Updated Professional-Cloud-Security-Engineer Exam Questions and Answers by arwen

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Google Professional-Cloud-Security-Engineer Exam Overview :

Exam Name: Google Cloud Certified - Professional Cloud Security Engineer
Exam Code: Professional-Cloud-Security-Engineer Dumps
Vendor: Google Certification: Google Cloud Certified
Questions: 266 Q&A's Shared By: arwen
Question 24

An application running on a Compute Engine instance needs to read data from a Cloud Storage bucket. Your team does not allow Cloud Storage buckets to be globally readable and wants to ensure the principle of least privilege.

Which option meets the requirement of your team?

Options:

A.

Create a Cloud Storage ACL that allows read-only access from the Compute Engine instance’s IP address and allows the application to read from the bucket without credentials.

B.

Use a service account with read-only access to the Cloud Storage bucket, and store the credentials to the service account in the config of the application on the Compute Engine instance.

C.

Use a service account with read-only access to the Cloud Storage bucket to retrieve the credentials from the instance metadata.

D.

Encrypt the data in the Cloud Storage bucket using Cloud KMS, and allow the application to decrypt the data with the KMS key.

Discussion
Question 25

Your organization strives to be a market leader in software innovation. You provided a large number of Google Cloud environments so developers can test the integration of Gemini in Vertex AI into their existing applications or create new projects. Your organization has 200 developers and a five-person security team. You must prevent and detect proper security policies across the Google Cloud environments. What should you do? (Choose 2 answers)​

Options:

A.

Apply a predefined AI-recommended security posture template for Gemini in Vertex AI in Security Command Center Enterprise or Premium tiers.​

B.

Publish internal policies and clear guidelines to securely develop applications.​

C.

Implement the least privileged access Identity and Access Management roles to prevent misconfigurations.​

D.

Apply organization policy constraints. Detect and monitor drifts by using Security Health Analytics.​

E.

Use Cloud Logging to create log filters to detect misconfigurations. Trigger Cloud Run functions to remediate misconfigurations.​

Discussion
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Question 26

Your team wants to make sure Compute Engine instances running in your production project do not have public IP addresses. The frontend application Compute Engine instances will require public IPs. The product engineers have the Editor role to modify resources. Your team wants to enforce this requirement.

How should your team meet these requirements?

Options:

A.

Enable Private Access on the VPC network in the production project.

B.

Remove the Editor role and grant the Compute Admin IAM role to the engineers.

C.

Set up an organization policy to only permit public IPs for the front-end Compute Engine instances.

D.

Set up a VPC network with two subnets: one with public IPs and one without public IPs.

Discussion
Question 27

Your organization is using Vertex AI Workbench Instances. You must ensure that newly deployed instances are automatically kept up-to-date and that users cannot accidentally alter settings in the operating system. What should you do?​

Options:

A.

Enable the VM Manager and ensure the corresponding Google Compute Engine instances are added.​

B.

Enforce the disableRootAccess and requireAutoUpgradeSchedule organization policies for newly deployed instances.​

C.

Assign the AI Notebooks Runner and AI Notebooks Viewer roles to the users of the AI Workbench Instances.​

D.

Implement a firewall rule that prevents Secure Shell access to the corresponding Google Compute Engine instances by using tags.​

Discussion
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