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

SectionWeightObjectives
Topic 1: Supporting compliance requirements14%- Determining security requirements
  • 1. Implementing security controls for Vertex AI and AI/ML workloads
  • 2. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
  • 3. Identifying security requirements (e.g., regulatory, compliance)
Topic 2: Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Securing secrets with Secret Manager
  • 2. Protecting and managing compute instance metadata
  • 3. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
  • 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
Topic 3: Configuring access25%- Managing service accounts
  • 1. Securing and protecting service accounts (including default service accounts)
  • 2. Managing and creating short-lived credentials
  • 3. Identifying scenarios requiring service accounts
  • 4. Securing, auditing, and mitigating usage of service account keys
  • 5. Creating, disabling, and authorizing service accounts
- Managing Cloud Identity
  • 1. Configuring Workforce Identity Federation
  • 2. Automating user lifecycle management processes
  • 3. Managing super administrator accounts
  • 4. Administering user accounts and groups programmatically
  • 5. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
Topic 4: Configuring network security19%- Designing network security
  • 1. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 2. Using Cloud NAT to enable outbound traffic
  • 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 4. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
Topic 5: Managing operations19%- Automating infrastructure and application security
  • 1. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
  • 2. Configuring Binary Authorization for GKE or Cloud Run
  • 3. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 4. Automating security scanning for CVEs through CI/CD pipelines

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q168-Q173):

NEW QUESTION # 168
Your organization has established a highly sensitive project within a VPC Service Controls perimeter. You need to ensure that only users meeting specific contextual requirements such as having a company-managed device, a specific location, and a valid user identity can access resources within this perimeter. You want to evaluate the impact of this change without blocking legitimate access. What should you do?

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
This question combines two powerful security features: VPC Service Controls (VPC SC) for data exfiltration prevention and Context-Aware Access (CAA) for fine-grained user access based on context.
Contextual Requirement: Requiring a "company-managed device," "specific location," etc., is the function of Context-Aware Access (CAA), implemented via an Access Level.
Combining VPC SC and CAA: CAA policies can be integrated with VPC SC perimeters to enforce the context for access into the perimeter.
Evaluating Impact: To evaluate changes without blocking access, the entire VPC SC perimeter (including the new CAA rule) should be configured in dry run mode.
Extracts:
"Context-Aware Access (CAA) allows you to define and enforce granular access to Google Cloud resources based on user attributes like device security status, IP address (location), and identity." (Source 3.1)
"When implementing a new security policy... it is best practice to initially configure the VPC Service Controls perimeter (including any associated Access Levels/Context-Aware Access) in dry run mode. Dry run mode allows you to test the perimeter's effect on services without blocking any access." (Source 3.2)
"You can use an Access Level (the core component of CAA) to define the conditions for accessing resources protected by a Service Perimeter." (Source 3.3)


NEW QUESTION # 169
A company is running their webshop on Google Kubernetes Engine and wants to analyze customer transactions in BigQuery. You need to ensure that no credit card numbers are stored in BigQuery What should you do?

Answer: A

Explanation:
Explanation
https://cloud.google.com/bigquery/docs/scan-with-dlp
Cloud Data Loss Prevention API allows to detect and redact or remove sensitive data before the comments or reviews are published. Cloud DLP will read information from BigQuery, Cloud Storage or Datastore and scan it for sensitive data.


NEW QUESTION # 170
You need to enable VPC Service Controls and allow changes to perimeters in existing environments without preventing access to resources. Which VPC Service Controls mode should you use?

Answer: A

Explanation:
Reference: https://cloud.google.com/vpc-service-controls/docs/service-perimeters In dry run mode, requests that violate the perimeter policy are not denied, only logged. Dry run mode is used to test perimeter configuration and to monitor usage of services without preventing access to resources.
https://cloud.google.com/vpc-service-controls/docs/dry-run-mode


NEW QUESTION # 171
Your organization is using Active Directory and wants to configure Security Assertion Markup Language (SAML). You must set up and enforce single sign-on (SSO) for all users.
What should you do?

Answer: C

Explanation:
https://support.google.com/cloudidentity/answer/12032922?hl=en


NEW QUESTION # 172
You are on your company's development team. You noticed that your web application hosted in staging on GKE dynamically includes user data in web pages without first properly validating the inputted data. This could allow an attacker to execute gibberish commands and display arbitrary content in a victim user's browser in a production environment.
How should you prevent and fix this vulnerability?

Answer: C

Explanation:
Web Security Scanner cross-site scripting (XSS) injection testing *simulates* an injection attack by inserting a benign test string into user-editable fields and then performing various user actions.
https://cloud.google.com/security-command-center/docs/how-to-remediate-web-security-scanner- findings#xss


NEW QUESTION # 173
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