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

SectionWeightObjectives
Topic 1: Configuring network security19%- Designing network security
  • 1. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 2. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 3. Using Cloud NAT to enable outbound traffic
  • 4. Configuring load balancing for security (Cloud Armor, SSL policies)
Topic 2: Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
  • 2. Securing secrets with Secret Manager
  • 3. Protecting and managing compute instance metadata
  • 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
Topic 3: 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 4: Configuring access25%- Managing service accounts
  • 1. Securing and protecting service accounts (including default service accounts)
  • 2. Creating, disabling, and authorizing service accounts
  • 3. Identifying scenarios requiring service accounts
  • 4. Managing and creating short-lived credentials
  • 5. Securing, auditing, and mitigating usage of service account keys
- Managing Cloud Identity
  • 1. Managing super administrator accounts
  • 2. Administering user accounts and groups programmatically
  • 3. Automating user lifecycle management processes
  • 4. Configuring Workforce Identity Federation
  • 5. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
Topic 5: Managing operations19%- 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)

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Professional-Cloud-Security-Engineer Latest Learning Material, Professional-Cloud-Security-Engineer Exam Questions Pdf

The Google Cloud Certified - Professional Cloud Security Engineer Exam (Professional-Cloud-Security-Engineer) certification examination is an essential component of professional development, and passing this Google Professional-Cloud-Security-Engineer test can increase career options and a rise in salary. Nonetheless, getting ready for the Prepare for your Professional-Cloud-Security-Engineer Exam may be difficult, and many working professionals have trouble locating the Professional-Cloud-Security-Engineer practice questions they need to succeed in this endeavor.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q129-Q134):

NEW QUESTION # 129
You are setting up Cloud Identity for your company's Google Cloud organization User accounts will be provisioned from Microsoft Entra ID through Directory Sync, and there will be single sign-on through Entra ID You need to secure the super administrator accounts for the organization Your solution must follow the principle of least privilege and implement strong authentication What should you do?

Answer: C

Explanation:
The problem focuses on securing "super administrator accounts for the organization" when Cloud Identity is synced with Microsoft Entra ID and uses Entra ID for SSO The key requirements are the principle of least privilege and strong authentication Principle of Least Privilege & Dedicated Accounts: Google's best practices strongly recommend creating dedicated, non-federated accounts for super administrators that are distinct from regular user accounts These accounts should only be used for super administrator tasks and not for daily activities This segregation ensures that the highest privilege accounts are isolated and adhere to the principle of least privilege by not having combined responsibilities Extract Reference: "Designate Organization Administrators We recommend keeping your super admin account separate from your Organization Administrator group" and "Give super admins a separate account that requires a separate login For example, user alice@examplecom could have a super admin account alice-admin@examplecom" and "Use the super admin account only when needed Delegate administrator tasks to user accounts with limited admin roles Use the least privilege approach" (Google Cloud Documentation: "Super administrator account best practices | Resource Manager Documentation" - https://cloudgooglecom/resource-manager/docs/super-admin-best-practices) Strong Authentication (Google 2-Step Verification): Even when using a third-party identity provider like Microsoft Entra ID for most users, Google recommends enforcing Google's own 2-Step Verification for the critical super administrator accounts This provides a "break-glass" mechanism that is independent of the external IdP If the Entra ID integration were to fail or become compromised, the Google-managed super administrator accounts, protected by Google's own 2SV, would still be accessible for emergency recovery Extract Reference: "Even when using the legacy SSO profile, super admins can't sign in with SSO in these cases: Admin console When super administrators try to sign in to an SSO-enabled domain via admingooglecom, they must enter their full Google administrator account email address and associated Google password (not their SSO username and password), and click Sign in to directly access the Admin console Google doesn't redirect them to the SSO sign-in page" (Google Cloud Identity Help: "Super administrator SSO" - https://supportgooglecom/cloudidentity/answer/6341409) - This highlights that super admin accounts can bypass SSO for direct Admin console access, making Google's 2SV crucial Extract Reference: "It's especially important for super admins to use 2SV because their accounts control access to all business and employee data in the organization Protect your business with 2-Step Verification Use security keys for 2-Step Verification" (Cloud Identity Help: "Security best practices for administrator accounts" - https://supportgooglecom/cloudidentity/answer/9011373)


NEW QUESTION # 130
You have an application where the frontend is deployed on a managed instance group in subnet A and the data layer is stored on a mysql Compute Engine virtual machine (VM) in subnet B on the same VPC. Subnet A and Subnet B hold several other Compute Engine VMs. You only want to allow thee application frontend to access the data in the application's mysql instance on port 3306.
What should you do?

Answer: C

Explanation:
To restrict access to the MySQL instance to only the frontend application while other VMs are present in the subnets, creating an ingress firewall rule is the most appropriate approach. This rule will specifically allow traffic from subnet A (where the frontend application resides) to the MySQL instance in subnet B on port
3306, using network tags to target the specific MySQL VM.
Steps:
* Create Network Tags: Apply a network tag (e.g., "data-tag") to the MySQL VM in subnet B.
* Create Ingress Firewall Rule: Configure an ingress firewall rule with the following settings:
* Source IP Range: Subnet A's IP range.
* Target Tag: "data-tag".
* Allowed Protocol/Ports: TCP:3306 (for MySQL).
This setup ensures that only instances in subnet A can communicate with the MySQL instance on port 3306.
References:
* Google Cloud: Configuring firewall rules


NEW QUESTION # 131
Your financial services company is migrating its operations to Google Cloud. You are implementing a centralized logging strategy to meet strict regulatory compliance requirements. Your company's Google Cloud organization has a dedicated folder for all production projects. All audit logs, including Data Access logs from all current and future projects within this production folder, must be securely collected and stored in a central BigQuery dataset for long-term retention and analysis. To prevent duplicate log storage and to enforce centralized control, you need to implement a logging solution that intercepts and overrides any project-level log sinks for these audit logs, to ensure that logs are not inadvertently routed elsewhere. What should you do?

Answer: A

Explanation:
The problem's critical requirements are: centralized collection of all audit logs (including Data Access logs) from a production folder to a central BigQuery dataset, with long-term retention, and most importantly, the ability to intercept and override any project-level log sinks to prevent duplicate storage or misrouting.
Aggregated Log Sink at Folder Level: To centralize logs from all current and future projects within the
"production folder," an aggregated sink configured at the folder level is the correct approach. Logs generated in child projects will flow up to the folder level and be matched by this sink.
Extract Reference: "Aggregated exports allow you to export logs from multiple Google Cloud projects, folders, or your entire organization. An aggregated export can include all logs from all included resources, or you can use queries to include only specific logs." (Google Cloud Documentation: "Route logs to supported destinations | Cloud Logging" - https://cloud.google.com/logging/docs/export/aggregated_exports) Intercepting Sink (--intercept-logs / overrideDestinations): This is the crucial feature to meet the "intercept and override" requirement. When an aggregated sink is configured as an "intercepting" sink, any log entries that match its filter are immediately routed to its destination and are not processed by any lower-level sinks (e.
g., project-level sinks). This ensures that logs are not inadvertently routed elsewhere and prevents duplicate storage.
Extract Reference: "An intercepting sink is an aggregated sink that, if it includes the overrideDestinations field set to true, stops matched log entries from propagating to lower-level sinks in the Cloud Logging resource hierarchy." (Google Cloud Documentation: "Route logs to supported destinations | Cloud Logging" -
https://cloud.google.com/logging/docs/export/aggregated_exports)
BigQuery Destination and IAM Permissions: BigQuery is specified as the long-term retention destination.
The sink's writer_identity (a service account automatically created for the sink) needs appropriate IAM permissions (e.g., BigQuery Data Editor or BigQuery User) on the target BigQuery dataset to write logs.
Inclusion Filter for Audit Logs: An inclusion filter is necessary to ensure only the required audit logs, including Data Access logs (logName:"cloudaudit.googleapis.com" OR logName:"data_access"), are routed.
Let's evaluate the other options:
A). Standard aggregated log sink... Logs Bucket Writer: A standard aggregated sink does not intercept or override lower-level sinks. Also, Logs Bucket Writer role is for Cloud Logging buckets, not BigQuery. The correct role would be for BigQuery.
B). Log sink in each production project: This is not a centralized solution and would require manual configuration for every project, which is inefficient and error-prone for "all current and future projects." It also doesn't provide any override mechanism.
C). Aggregated log sink at the organization level... configure a log view: While an organization-level sink offers broad centralization, if the requirement is specifically for a production folder and not the entire organization, a folder-level intercepting sink is more targeted. A log view is for displaying logs, not for routing or overriding. The --include-children flag is implied for aggregated sinks but doesn't provide the intercepting behavior.
Therefore, creating an intercepting aggregated log sink at the production folder level, configured to send audit logs to BigQuery, is the precise solution to meet all the stated requirements, especially the crucial "intercept and override" condition.


NEW QUESTION # 132
You need to set up two network segments: one with an untrusted subnet and the other with a trusted subnet. You want to configure a virtual appliance such as a next-generation firewall (NGFW) to inspect all traffic between the two network segments. How should you design the network to inspect the traffic?

Answer: A


NEW QUESTION # 133
An organization's security and risk management teams are concerned about where their responsibility lies for certain production workloads they are running in Google Cloud Platform (GCP), and where Google's responsibility lies. They are mostly running workloads using Google Cloud's Platform-as-a-Service (PaaS) offerings, including App Engine primarily.
Which one of these areas in the technology stack would they need to focus on as their primary responsibility when using App Engine?

Answer: B

Explanation:
When using Google Cloud's Platform-as-a-Service (PaaS) offerings like App Engine, Google manages the infrastructure, including the underlying OS, runtime, and scaling. However, securing the application code itself, such as defending against cross-site scripting (XSS) and SQL injection (SQLi) attacks, remains the responsibility of the user. This involves implementing secure coding practices, validating inputs, and employing appropriate security measures within the application.
References:
* Google Cloud: Shared responsibility model
* App Engine security


NEW QUESTION # 134
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