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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Managing operations	19%	- Automating infrastructure and application security 1. Configuring Binary Authorization for GKE or Cloud Run 2. Automating security scanning for CVEs through CI/CD pipelines 3. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics) 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
Topic 2: Configuring access	25%	- Managing service accounts 1. Creating, disabling, and authorizing service accounts 2. Identifying scenarios requiring service accounts 3. Securing, auditing, and mitigating usage of service account keys 4. Managing and creating short-lived credentials 5. Securing and protecting service accounts (including default service accounts) - Managing Cloud Identity 1. Configuring Workforce Identity Federation 2. Managing super administrator accounts 3. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 4. Administering user accounts and groups programmatically 5. Automating user lifecycle management processes
Topic 3: Configuring network security	19%	- Designing network security 1. Using Cloud NAT to enable outbound traffic 2. Configuring load balancing for security (Cloud Armor, SSL policies) 3. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 4. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
Topic 4: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 2. Protecting and managing compute instance metadata 3. Securing secrets with Secret Manager 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
Topic 5: Supporting compliance requirements	14%	- Determining security requirements 1. Identifying security requirements (e.g., regulatory, compliance) 2. Implementing security controls for Vertex AI and AI/ML workloads 3. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q146-Q151):

NEW QUESTION # 146
After completing a security vulnerability assessment, you learned that cloud administrators leave Google Cloud CLI sessions open for days. You need to reduce the risk of attackers who might exploit these open sessions by setting these sessions to the minimum duration.
What should you do?

A. Set the reauthentication frequency (or the Google Cloud Session Control to one hour.
B. Set the organization policy constraint
constraints/iam.allowServiceAccountCredentialLifetimeExtension to one hour.
C. Set the organization policy constraint constraints/iam. serviceAccountKeyExpiryHours to one hour and inheritFromParent to false.
D. Set the session duration for the Google session control to one hour.

Answer: A

NEW QUESTION # 147
You work for an organization in a regulated industry that has strict data protection requirements.
The organization backs up their data in the cloud. To comply with data privacy regulations, this data can only be stored for a specific length of time and must be deleted after this specific period.
You want to automate the compliance with this regulation while minimizing storage costs. What should you do?

A. Store the data in a Cloud Bigtable table, and set an expiration time on the column families.
B. Store the data in a BigQuery table, and set the table's expiration time.
C. Store the data in a persistent disk, and delete the disk at expiration time.
D. Store the data in a Cloud Storage bucket, and configure the bucket's Object Lifecycle Management feature.

Answer: D

Explanation:
To miminize costs, it's always GCS even though BQ comes as a close 2nd. But, since the question did not specify what kind of data it is (raw files vs tabular data), it is safe to assume GCS is the preferred option with LifeCycle enablement.

NEW QUESTION # 148
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?

A. 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.
B. 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.
C. 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%.
D. 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.

Answer: D

Explanation:
It's not necessary that running a malicious script multiple times will affect CPU usage. And, CPU usage can occur during usual normal workloads.

NEW QUESTION # 149
Your company is moving to Google Cloud. You plan to sync your users first by using Google Cloud Directory Sync (GCDS). Some employees have already created Google Cloud accounts by using their company email addresses that were created outside of GCDS. You must create your users on Cloud Identity.
What should you do?

A. Write a custom script to identify existing Google Cloud users and call the Admin SDK Directory API to transfer their account.
B. Use the transfer tool to migrate unmanaged users.
C. Configure GCDS and use GCDS exclusion rules to ensure users are not suspended.
D. Configure GCDS and use GCDS search rules lo sync these users.

Answer: B

Explanation:
Understanding Unmanaged Users:
Unmanaged users are those who have created Google Cloud accounts using their company email addresses outside of the organization's management (e.g., through GCDS).
Challenge:
The goal is to bring these unmanaged accounts under your company's control without disrupting their existing accounts and access.
Using the Transfer Tool:
Google provides a transfer tool specifically designed to migrate unmanaged users to a managed state.
This tool allows administrators to invite unmanaged users to join the organization's Google Cloud Identity or Google Workspace account.
Steps to Use the Transfer Tool:
Step 1: Access the transfer tool from the Google Admin console.
Step 2: Identify the unmanaged users using their email addresses.
Step 3: Send invitations to these users to transfer their accounts.
Step 4: Users accept the invitations, allowing their accounts to be managed under the organization's domain.
Benefits:
This method ensures a smooth transition for users without losing access to their existing data and services.
It aligns with best practices for managing user accounts in a corporate environment.
Reference:
Migrate unmanaged users
Google Cloud Directory Sync

NEW QUESTION # 150
Your organization wants to be General Data Protection Regulation (GDPR) compliant. You want to ensure that your DevOps teams can only create Google Cloud resources in the Europe regions.
What should you do?

A. Use the org policy constraint 'Google Cloud Platform - Resource Location Restriction' on your Google Cloud organization node.
B. Use Identity-Aware Proxy (IAP) with Access Context Manager to restrict the location of Google Cloud resources.
C. Use Identity and Access Management (IAM) custom roles to ensure that your DevOps team can only create resources in the Europe regions.
D. Use the org policy constraint 'Restrict Resource Service Usage' on your Google Cloud organization node.

Answer: A

Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/defining-locations

NEW QUESTION # 151
......

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