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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q80-Q85):

NEW QUESTION # 80
An organization adopts Google Cloud Platform (GCP) for application hosting services and needs guidance on setting up password requirements for their Cloud Identity account. The organization has a password policy requirement that corporate employee passwords must have a minimum number of characters.
Which Cloud Identity password guidelines can the organization use to inform their new requirements?

Answer: A

Explanation:
The minimum length for passwords in Cloud Identity can be set to 8 characters. This aligns with common security best practices for password policies, ensuring a basic level of complexity and security.
Step-by-Step:
* Access Admin Console: Log in to the Google Admin console.
* Navigate to Security Settings: Go to Security > Password Management.
* Set Minimum Length: Set the minimum length for passwords to 8 characters.
* Save Changes: Save the settings and ensure that all user accounts adhere to the new policy.
Google Cloud Identity Security Settings
Password Policy Best Practices


NEW QUESTION # 81
Your organization operates a hybrid cloud environment and has recently deployed a private Artifact Registry repository in Google Cloud. On-premises developers cannot resolve the Artifact Registry hostname and therefore cannot push or pull artifacts. You've verified the following:
Connectivity to Google Cloud is established by Cloud VPN or Cloud Interconnect.
No custom DNS configurations exist on-premises.
There is no route to the internet from the on-premises network.
You need to identify the cause and enable the developers to push and pull artifacts. What is likely causing the issue and what should you do to fix the issue?

Answer: C

Explanation:
The problem is that the on-premises developers cannot resolve the Artifact Registry hostname, and they have no route to the internet. This is a classic DNS resolution problem in a hybrid network using private API access.
Artifact Registry is a Google-managed service, and its hostname (e.g., us-west1-docker.pkg.dev) resolves to a Google API domain. To access Google services privately from an on-premises network without an internet route, the traffic must be directed to Private Google Access IP ranges.
Issue: The on-premises DNS cannot resolve the Google service domain to the required private IP range.
Solution: The on-premises DNS needs a record (or a forwarding rule) to resolve the Google service domain to the dedicated IP ranges used for Private Google Access, specifically restricted.googleapis.com or private.
googleapis.com (which provide the IP addresses for private access).
Extracts (Conceptual Basis):
"To direct traffic privately, you must ensure that your on-premises network's DNS is configured to resolve Google API and service domain names to the IP address range for Private Google Access." (Source 1.1)
"The IP addresses for private.googleapis.com are used for Private Google Access. To enable on-premises hosts to access Google APIs and services using this method, you must configure on-premises DNS to resolve requests for Google API domain names to the IP address range for private.googleapis.com." (Source 1.2) Option B is incorrect because Private Google Access (PGA) is enabled on the VPC subnet, allowing VMs within the VPC to access Google APIs. However, the problem is with the on-premises developers; the on- premises DNS must be configured to resolve the hostname correctly.


NEW QUESTION # 82
When creating a secure container image, which two items should you incorporate into the build if possible? (Choose two.)

Answer: A,B

Explanation:
https://cloud.google.com/solutions/best-practices-for-building-containers


NEW QUESTION # 83
You are the project owner for a regulated workload that runs in a project you own and manage as an Identity and Access Management (IAM) admin. For an upcoming audit, you need to provide access reviews evidence. Which tool should you use?

Answer: B

Explanation:
https://cloud.google.com/policy-intelligence/docs/policy-analyzer-overview Policy Analyzer lets you find out which principals (for example, users, service accounts, groups, and domains) have what access to which Google Cloud resources based on your IAM allow policies.


NEW QUESTION # 84
You run applications on Cloud Run. You already enabled container analysis for vulnerability scanning. However, you are concerned about the lack of control on the applications that are deployed. You must ensure that only trusted container images are deployed on Cloud Run.
What should you do? (Choose two.)

Answer: D,E

Explanation:
https://cloud.google.com/binary-authorization/docs/run/requiring-binauthz-cloud-run


NEW QUESTION # 85
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