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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
Your organization is building a chatbot that is powered by generative AI to deliver automated conversations with internal employees. You must ensure that no data with personally identifiable information (PII) is communicated through the chatbot. What should you do?

Answer: C

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/how-keep-sensitive-data-out-your- chatbots


NEW QUESTION # 161
Your organization's application is being integrated with a partner application that requires read access to customer data to process customer orders. The customer data is stored in one of your Cloud Storage buckets.
You have evaluated different options and determined that this activity requires the use of service account keys. You must advise the partner on how to minimize the risk of a compromised service account key causing a loss of data. What should you advise the partner to do?

Answer: A

Explanation:
When integrating applications that require access to sensitive data stored in Cloud Storage, managing service account keys securely is crucial to prevent unauthorized access or data loss.
* Option A: Defining a VPC Service Controls perimeter enhances security by restricting access to Google Cloud services. However, configuring ingress rules to allow external access for the service account may introduce complexities and potential security gaps, especially if the partner's infrastructure is outside the defined perimeter.
* Option B: Scanning and masking customer data addresses data sensitivity but does not mitigate risks associated with compromised service account keys. This approach focuses on data content rather than access control mechanisms.
* Option C: Encrypting data at rest using customer-managed encryption keys (CMEK) ensures data confidentiality but does not directly address the security of service account keys or access controls.
* Option D: Implementing a secret management service to handle service account keys is a best practice.
By configuring the service to frequently rotate keys, you reduce the window of opportunity for malicious actors to exploit compromised keys. Additionally, enforcing strict access controls ensures that only authorized personnel can create or manage service account keys, minimizing the risk of unauthorized access. This approach directly addresses the security concerns related to service account key management.
Therefore, Option D is the most appropriate recommendation, as it focuses on securely managing service account keys through rotation and access controls, thereby minimizing the risk of data loss due to compromised keys.
References:
* Best Practices for Managing Service Account Keys
* Secret Manager Documentation


NEW QUESTION # 162
Your organization has implemented synchronization and SAML federation between Cloud Identity and Microsoft Active Directory. You want to reduce the risk of Google Cloud user accounts being compromised. What should you do?

Answer: A


NEW QUESTION # 163
A customer is running an analytics workload on Google Cloud Platform (GCP) where Compute Engine instances are accessing data stored on Cloud Storage. Your team wants to make sure that this workload will not be able to access, or be accessed from, the internet.
Which two strategies should your team use to meet these requirements? (Choose two.)

Answer: C,D


NEW QUESTION # 164
Your organization has a hybrid cloud environment with a data center connected to Google Cloud through a dedicated Cloud Interconnect connection. You need to configure private access from your on-premises hosts to Google APIs, specifically Cloud Storage and BigQuery, without exposing traffic to the public internet.
What should you do?

Answer: B

Explanation:
To provide on-premises hosts with access to Google APIs without using public IP addresses or the public internet, Google Cloud provides Private Google Access for on-premises hosts. This feature allows traffic to stay within the Google network via Cloud Interconnect or Cloud VPN.
According to the official Google Cloud Documentation (Configuring Private Google Access for on-premises hosts):
"Private Google Access for on-premises hosts provides a way for on-premises systems to connect to Google APIs and services by routing traffic through a Cloud VPN tunnel or Cloud Interconnect attachment (VLAN).
On-premises hosts don't need public IP addresses; instead, they use internal IP addresses." Key Implementation Steps:
* Network Connectivity: Ensure your on-premises network is connected to your VPC via Cloud Interconnect or VPN.
* DNS Configuration: You must configure your on-premises DNS to map API requests (like storage.
googleapis.com) to special IP ranges. There are two primary options:
* private.googleapis.com: Resolves to 199.36.153.8/30. This range supports most Google APIs but only those that are VPC-Service Control compatible.
* restricted.googleapis.com: Resolves to 199.36.153.4/30. This is required specifically when using VPC Service Controls (VPC-SC) to ensure data cannot be exfiltrated to services outside the perimeter.
* Routing: You must configure custom static routes in your VPC or use BGP to advertise the 199.36.153.8
/30 (or 199.36.153.4/30) range back to your on-premises router.
Why other options are incorrect:
* A is incorrect: Shared VPC is used to share a network across multiple Google Cloud projects, not to extend a VPC directly to on-premises hardware.
* C is incorrect: While the IP range 199.36.153.8/30 is correct for private.googleapis.com, Cloud NAT is used for outbound internet access from VPC instances without external IPs; it does not facilitate private on-premises-to-API connectivity.
* D is incorrect: VPC Peering connects two VPCs within Google Cloud. You cannot "peer" an on- premises data center directly via VPC Peering; you must use Interconnect or VPN.
Reference: * Google Cloud Security Engineer Study Guide, Chapter 4: Configuring Network Security.
Google Cloud Documentation: "Configure Private Google Access for on-premises hosts" (https://cloud.
google.com/vpc/docs/configure-private-google-access-on-premises).


NEW QUESTION # 165
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