Google surepassexam free Professional-cloud-security-engineer Questions Attempt by Zachariah q18 vce pdf

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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:	zachariah

Question 12

You are designing a new governance model for your organization's secrets that are stored in Secret Manager. Currently, secrets for Production and Non-Production applications are stored and accessed using service accounts. Your proposed solution must:

Provide granular access to secrets

Give you control over the rotation schedules for the encryption keys that wrap your secrets

Maintain environment separation

Provide ease of management

Which approach should you take?

Options:

1. Use separate Google Cloud projects to store Production and Non-Production secrets.

2. Enforce access control to secrets using project-level identity and Access Management (IAM) bindings.

3. Use customer-managed encryption keys to encrypt secrets.

1. Use a single Google Cloud project to store both Production and Non-Production secrets.

2. Enforce access control to secrets using secret-level Identity and Access Management (IAM) bindings.

3. Use Google-managed encryption keys to encrypt secrets.

1. Use separate Google Cloud projects to store Production and Non-Production secrets.

2. Enforce access control to secrets using secret-level Identity and Access Management (IAM) bindings.

3. Use Google-managed encryption keys to encrypt secrets.

1. Use a single Google Cloud project to store both Production and Non-Production secrets.

2. Enforce access control to secrets using project-level Identity and Access Management (IAM) bindings.

3. Use customer-managed encryption keys to encrypt secrets.

Discussion

Question 13

A company has been running their application on Compute Engine. A bug in the application allowed a malicious user to repeatedly execute a script that results in the Compute Engine instance crashing. Although the bug has been fixed, you want to get notified in case this hack re-occurs.

What should you do?

Options:

Create an Alerting Policy in Stackdriver using a Process Health condition, checking that the number of executions of the script remains below the desired threshold. Enable notifications.

Create an Alerting Policy in Stackdriver using the CPU usage metric. Set the threshold to 80% to be notified when the CPU usage goes above this 80%.

Log every execution of the script to Stackdriver Logging. Create a User-defined metric in Stackdriver Logging on the logs, and create a Stackdriver Dashboard displaying the metric.

Log every execution of the script to Stackdriver Logging. Configure BigQuery as a log sink, and create a BigQuery scheduled query to count the number of executions in a specific timeframe.

Discussion

Question 14

Your team needs to configure their Google Cloud Platform (GCP) environment so they can centralize the control over networking resources like firewall rules, subnets, and routes. They also have an on-premises environment where resources need access back to the GCP resources through a private VPN connection. The networking resources will need to be controlled by the network security team.

Which type of networking design should your team use to meet these requirements?

Options:

Shared VPC Network with a host project and service projects

Grant Compute Admin role to the networking team for each engineering project

VPC peering between all engineering projects using a hub and spoke model

Cloud VPN Gateway between all engineering projects using a hub and spoke model

Discussion

Question 15

You are troubleshooting access denied errors between Compute Engine instances connected to a Shared VPC and BigQuery datasets. The datasets reside in a project protected by a VPC Service Controls perimeter. What should you do?

Options:

Add the host project containing the Shared VPC to the service perimeter.

Add the service project where the Compute Engine instances reside to the service perimeter.

Create a service perimeter between the service project where the Compute Engine instances reside and the host project that contains the Shared VPC.

Create a perimeter bridge between the service project where the Compute Engine instances reside and the perimeter that contains the protected BigQuery datasets.

Discussion

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