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

SectionWeightObjectives
Supporting Compliance Requirements11%- Regulatory compliance
  • 1. Shared responsibility model
  • 2. Controls for GDPR, HIPAA, PCI DSS, ISO 27001
- Audit and assessment
  • 1. Evidence collection and reporting
  • 2. Security assessment frameworks
Configuring Access25%- Designing access control
  • 1. Identity federation and workload identity
  • 2. IAM roles, permissions, and policies
  • 3. Resource hierarchy and organization policies
- Implementing access management
  • 1. Service accounts and key management
  • 2. Deny policies and conditional access
  • 3. User and group management
Managing Operations19%- Security automation and governance
  • 1. Policy enforcement and compliance monitoring
  • 2. Binary Authorization and supply chain security
  • 3. Infrastructure as Code security
- Security monitoring and logging
  • 1. Security Command Center (SCC)
  • 2. Threat detection and response
  • 3. Cloud Audit Logs and logging configuration
Ensuring Data Protection23%- Encryption implementation
  • 1. Data loss prevention (DLP)
  • 2. Encryption at rest (CMEK, Google-managed keys)
  • 3. Key management and rotation
- Data classification and lifecycle
  • 1. Sensitive data discovery and classification
  • 2. Retention and deletion policies
Configuring Network Security20%- Secure communication
  • 1. Load balancer security
  • 2. Encryption in transit
  • 3. Certificate management
- Perimeter security
  • 1. Identity-Aware Proxy (IAP)
  • 2. VPC design and private access
  • 3. Cloud NGFW rules and policies

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q274-Q279):

NEW QUESTION # 274
Your organization deploys a large number of containerized applications on Google Kubernetes Engine (GKE). Node updates are currently applied manually. Audit findings show that a critical patch has not been installed due to a missed notification. You need to design a more reliable, cloud-first, and scalable process for node updates. What should you do?

Answer: C

Explanation:
To establish a reliable, cloud-native, and scalable process for updating nodes in your GKE clusters, configuring node auto-upgrades within designated maintenance windows is the most effective approach.
* Option A: Migrating to a self-managed Kubernetes environment would increase operational overhead and complexity, as your team would be responsible for managing the entire infrastructure, including patching and updates. This contradicts the goal of adopting a cloud-first strategy and does not inherently provide a more reliable update process.
* Option B: Developing custom scripts for patch management introduces potential risks and maintenance burdens. Ensuring the reliability, security, and scalability of such scripts can be challenging, and this approach may not align with best practices for managing GKE environments.
* Option C: Scheduling daily reboots does not guarantee that nodes will apply the latest patches or updates. Without a mechanism to manage and apply updates, reboots alone are insufficient to maintain node security and compliance.
* Option D: Configuring node auto-upgrades ensures that GKE automatically keeps your nodes up-to- date with the latest stable versions, reducing the risk of missed critical patches. By setting maintenance windows, you can control when these upgrades occur, minimizing disruptions to your workloads. This approach leverages GKE's managed services to maintain security and compliance efficiently.
Therefore, Option D is the optimal solution, as it aligns with a cloud-first strategy and leverages GKE's native capabilities to automate and schedule node updates effectively.
References:
* Auto-upgrading nodes | Google Kubernetes Engine (GKE)
* Maintenance windows and exclusions | Google Kubernetes Engine


NEW QUESTION # 275
Your company has recently enabled Security Command Center at the organization level. You need to implement runtime threat detection for applications running in containers within projects residing in the production folder. Specifically, you need to be notified if additional libraries are loaded or malicious scripts are executed within these running containers. You need to configure Security Command Center to meet this requirement while ensuring findings are visible within Security Command Center. What should you do?

Answer: A

Explanation:
The requirements are runtime threat detection for containers that specifically detects activities like loading additional libraries or executing malicious scripts, with findings visible in Security Command Center (SCC).
Container Threat Detection (CTD) is the specific SCC service component designed to monitor container runtimes for suspicious events like reverse shells, suspicious library loading, and execution of malicious scripts. It is available only with the Security Command Center Premium tier.
Extracts:
"Container Threat Detection (CTD) is a Security Command Center Premium service that provides runtime threat detection for Google Kubernetes Engine (GKE) and Kubernetes clusters." (Source 4.1)
"CTD detects specific runtime events, such as: Execution of malicious scripts... Loading of suspicious libraries... CTD creates high-fidelity Security Command Center findings for these threats." (Source 4.2)
"Security Health Analytics (Option C) identifies misconfigurations and compliance violations, such as overly permissive IAM roles or open firewall ports, but it does not perform runtime threat detection." (Source 4.3) While using log-based metrics (Option D) is possible, enabling CTD (Option B) is the specific, managed, and authoritative way to generate verified runtime threat findings directly within Security Command Center as required by the prompt.


NEW QUESTION # 276
A customer has an analytics workload running on Compute Engine that should have limited internet access.
Your team created an egress firewall rule to deny (priority 1000) all traffic to the internet.
The Compute Engine instances now need to reach out to the public repository to get security updates. What should your team do?

Answer: D

Explanation:
To allow Compute Engine instances to access public repositories for security updates while an egress firewall rule is in place to deny all internet traffic, you need to create a more specific egress rule that permits traffic to the CIDR range of the repository. The priority of this rule should be lower (i.e., a higher priority number) than the deny rule.
Steps:
Identify the CIDR Range: Determine the CIDR range of the public repository from which the security updates will be fetched.
Create Egress Firewall Rule: Create a new egress firewall rule allowing traffic to the identified CIDR range with a priority less than 1000.
Apply Firewall Rule: Use the Google Cloud Console or gcloud command-line tool to apply the new firewall rule.
Reference:
Google Cloud: Firewall rules
Creating firewall rules


NEW QUESTION # 277
Your organization is using Google Workspace, Google Cloud, and a third-party SIEM. You need to export events such as user logins, successful logins, and failed logins to the SIEM. Logs need to be ingested in real time or near real-time. What should you do?

Answer: B

Explanation:
The standard and most efficient way to stream logs from Google Cloud (including Workspace logs that are shared with Google Cloud) to an external SIEM is via Cloud Logging Sinks pointing to Pub/Sub.5 According to Google Cloud Documentation (Architecture for exporting Cloud Logging logs):
"To stream logs to a third-party SIEM in real-time, you should create a log sink in Cloud Logging. The sink filters for specific logs (e.g., resource.type="audited_resource" and methodName:"login") and exports them to a Pub/Sub topic. The SIEM can then subscribe to this topic to pull events immediately as they are generated." Why other options are incorrect:
* A is incorrect: Exporting to Cloud Storage is for long-term archiving/compliance and is not real-time (it usually involves batched files every few hours).
* C is incorrect: Polling via CLI is not scalable, introduces latency, and is prone to failure in production environments.
* D is incorrect: Google Workspace does not have a native "direct push" feature for SIEM endpoints; it typically requires an intermediate step like Pub/Sub or BigQuery.
Reference:
Google Cloud Documentation: "Log sinks overview" (https://cloud.google.com/logging/docs/export).
Google Cloud Documentation: "Streaming logs to Pub/Sub" (https://cloud.google.com/architecture/exporting- stackdriver-logs-to-splunk).


NEW QUESTION # 278
Your organization previously stored files in Cloud Storage by using Google Managed Encryption Keys (GMEK). but has recently updated the internal policy to require Customer Managed Encryption Keys (CMEK). You need to re-encrypt the files quickly and efficiently with minimal cost.
What should you do?

Answer: D

Explanation:
Rewriting the objects in-place within the same bucket, specifying the new CMEK for encryption, allows you to re-encrypt the data without downloading and re-uploading it, thus minimizing costs and time.
https://cloud.google.com/storage/docs/encryption/using-customer-managed-keys


NEW QUESTION # 279
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