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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q22-Q27):

NEW QUESTION # 22
A DevOps team will create a new container to run on Google Kubernetes Engine. As the application will be internet-facing, they want to minimize the attack surface of the container.
What should they do?

Answer: C

Explanation:
Section: (none)
Explanation


NEW QUESTION # 23
Your organization is transitioning to Google Cloud You want to ensure that only trusted container images are deployed on Google Kubernetes Engine (GKE) clusters in a project. The containers must be deployed from a centrally managed. Container Registry and signed by a trusted authority.
What should you do?
Choose 2 answers

Answer: C,D


NEW QUESTION # 24
Your organization is developing an application that will have both corporate and public end-users.
You want to centrally manage those customers' identities and authorizations. Corporate end users must access the application by using their corporate user and domain name. What should you do?

Answer: A


NEW QUESTION # 25
Your organization processes sensitive health information. You want to ensure that data is encrypted while in use by the virtual machines (VMs). You must create a policy that is enforced across the entire organization.
What should you do?

Answer: B

Explanation:
Confidential VMs offer memory encryption to secure data while it is "in use". They use AMD's Secure Encrypted Virtualization (SEV) feature to ensure that data remains encrypted when processed. This would help to meet the requirement of encrypting sensitive health information at rest in transit and while in use by the VMs.


NEW QUESTION # 26
What are the steps to encrypt data using envelope encryption?

Answer: C

Explanation:
Explanation
The process of encrypting data is to generate a DEK locally, encrypt data with the DEK, use a KEK to wrap the DEK, and then store the encrypted data and the wrapped DEK. The KEK never leaves Cloud KMS.
https://cloud.google.com/kms/docs/envelope-encryption#how_to_encrypt_data_using_envelope_encryption


NEW QUESTION # 27
......

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