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Google Cloud Certified Professional-Cloud-Security-Engineer Updated Exam

Google Cloud Certified - Professional Cloud Security Engineer Questions and Answers

Question 65

Your organization uses BigQuery to process highly sensitive, structured datasets. Following the "need to know" principle, you need to create the Identity and Access Management (IAM) design to meet the needs of these users:

• Business user must access curated reports.

• Data engineer: must administrate the data lifecycle in the platform.

• Security operator: must review user activity on the data platform.

What should you do?

Options:

A.

Configure data access log for BigQuery services, and grant Project Viewer role to security operators.

B.

Generate a CSV data file based on the business user's needs, and send the data to their email addresses.

C.

Create curated tables in a separate dataset and assign the role roles/bigquery.dataViewer.

D.

Set row-based access control based on the "region" column, and filter the record from the United States for data engineers.

Question 66

An organization is migrating from their current on-premises productivity software systems to G Suite. Some network security controls were in place that were mandated by a regulatory body in their region for their previous on-premises system. The organization’s risk team wants to ensure that network security controls are maintained and effective in G Suite. A security architect supporting this migration has been asked to ensure that network security controls are in place as part of the new shared responsibility model between the organization and Google Cloud.

What solution would help meet the requirements?

Options:

A.

Ensure that firewall rules are in place to meet the required controls.

B.

Set up Cloud Armor to ensure that network security controls can be managed for G Suite.

C.

Network security is a built-in solution and Google’s Cloud responsibility for SaaS products like G Suite.

D.

Set up an array of Virtual Private Cloud (VPC) networks to control network security as mandated by the relevant regulation.

Question 67

You manage a mission-critical workload for your organization, which is in a highly regulated industry The workload uses Compute Engine VMs to analyze and process the sensitive data after it is uploaded to Cloud Storage from the endpomt computers. Your compliance team has detected that this workload does not meet the data protection requirements for sensitive data. You need to meet these requirements;

• Manage the data encryption key (DEK) outside the Google Cloud boundary.

• Maintain full control of encryption keys through a third-party provider.

• Encrypt the sensitive data before uploading it to Cloud Storage

• Decrypt the sensitive data during processing in the Compute Engine VMs

• Encrypt the sensitive data in memory while in use in the Compute Engine VMs

What should you do?

Choose 2 answers

Options:

A.

Create a VPC Service Controls service perimeter across your existing Compute Engine VMs and Cloud Storage buckets

B.

Migrate the Compute Engine VMs to Confidential VMs to access the sensitive data.

C.

Configure Cloud External Key Manager to encrypt the sensitive data before it is uploaded to Cloud Storage and decrypt the sensitive data after it is downloaded into your VMs

D.

Create Confidential VMs to access the sensitive data.

E.

Configure Customer Managed Encryption Keys to encrypt the sensitive data before it is uploaded to Cloud Storage, and decrypt the sensitive data after it is downloaded into your VMs.

Question 68

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.