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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q291-Q296):

NEW QUESTION # 291
A company is deploying their application on Google Cloud Platform. Company policy requires long-term data to be stored using a solution that can automatically replicate data over at least two geographic places.
Which Storage solution are they allowed to use?

Answer: C

Explanation:
https://cloud.google.com/bigquery/docs/locations


NEW QUESTION # 292
You are using Security Command Center (SCC) to protect your workloads and receive alerts for suspected security breaches at your company. You need to detect cryptocurrency mining software. Which SCC service should you use?

Answer: C

Explanation:
The goal is to detect cryptocurrency mining software using Security Command Center (SCC).
Security Command Center Threat Detection Services: SCC Premium and Enterprise tiers offer various specialized threat detection services.
Virtual Machine Threat Detection (VMTD): This service is explicitly designed to scan virtual machines (Compute Engine instances and GKE nodes) for specific threats, including cryptocurrency mining software. It operates at the hypervisor level, performing deep scans of VM memory and disks.Extract Reference: "Virtual Machine Threat Detection (VMTD) helps you detect potential threats, such as cryptocurrency mining and malware, within your Compute Engine instances and GKE nodes." (Google Cloud Documentation: "Virtual Machine Threat Detection overview | Security Command Center" - https://cloud.google.com/security- command-center/docs/concepts-vm-threat-detection-overview) Extract Reference: "This service scans virtual machines to detect potentially malicious applications, such as cryptocurrency mining software, kernel-mode rootkits, and malware running in compromised cloud environments." (Google Cloud Documentation: "Virtual Machine Threat Detection overview | Security Command Center" - https://cloud.google.com/security-command-center/docs/concepts-vm-threat-detection- overview) Let's evaluate the other options:
A). Web Security Scanner: This service scans for common web application vulnerabilities like XSS, Flash injection, and mixed content. It is not designed to detect runtime threats like cryptocurrency mining software.
B). Container Threat Detection: While Container Threat Detection (CTD) also detects cryptocurrency mining, it specifically focuses on runtime threats within GKE containers. The question asks for detection of
"cryptocurrency mining software" generally, and VMs are a common target for such activity (and GKE nodes are VMs). VMTD provides a more general detection across Compute Engine VMs and GKE nodes for this specific type of threat. If the context explicitly mentioned containers or Cloud Run, CTD would be the more specific answer. However, for a general detection of "software" on "workloads", and given that VMTD explicitly lists "cryptocurrency mining software" for VMs, it is the most direct and broadly applicable answer among the choices.
C). Rapid Vulnerability Detection: This service actively scans internet-exposed assets for network vulnerabilities and misconfigurations. It focuses on finding known vulnerabilities, not detecting active malicious processes like cryptocurrency mining.
Given the direct and explicit mention of cryptocurrency mining detection for VMs in its documentation, Virtual Machine Threat Detection is the correct SCC service to use.


NEW QUESTION # 293
Your organization develops software involved in many open source projects and is concerned about software supply chain threats. You need to deliver provenance for the build to demonstrate the software is untampered.
What should you do?

Answer: D

Explanation:
https://cloud.google.com/build/docs/securing-builds/view-build-provenance


NEW QUESTION # 294
A company is deploying their application on Google Cloud Platform. Company policy requires long-term data to be stored using a solution that can automatically replicate data over at least two geographic places.
Which Storage solution are they allowed to use?

Answer: A

Explanation:
Cloud Bigtable is a fully managed NoSQL database service designed to handle large analytical and operational workloads. One of its key features is the ability to replicate data across multiple geographic locations automatically, ensuring high availability and resilience. Here's a detailed explanation:
* Replication: Cloud Bigtable supports multi-cluster routing and replication across different geographic regions. This means that data can be replicated across multiple zones within a region or even across regions, providing geo-redundancy.
* Automatic Handling: Once configured, Bigtable automatically manages replication without requiring manual intervention. This is in line with the company's policy for long-term data storage that necessitates automatic replication over at least two geographic places.
* Use Case Suitability: Bigtable is ideal for applications that require low-latency access to large amounts of data, which makes it suitable for various use cases including analytical applications, IoT, and financial data processing.
* Configuration: Setting up replication involves creating instances in multiple zones and configuring them to replicate data. Google Cloud's management interface and APIs make this straightforward to configure and monitor.
References:
* Google Cloud Bigtable Documentation
* Google Cloud Storage Options


NEW QUESTION # 295
Your organization uses a microservices architecture based on Google Kubernetes Engine (GKE). Security reviews recommend tighter controls around deployed container images to reduce potential vulnerabilities and maintain compliance. You need to implement an automated system by using managed services to ensure that only approved container images are deployed to the GKE clusters. What should you do?

Answer: C

Explanation:
To enhance the security of your microservices architecture on Google Kubernetes Engine (GKE) and ensure that only approved container images are deployed, implementing Binary Authorization is a robust solution.
Option A: Enforcing Binary Authorization in your GKE clusters ensures that only container images that meet your organization's security policies are deployed. By integrating container image vulnerability scanning into your Continuous Integration/Continuous Deployment (CI/CD) pipeline, you can assess images for known vulnerabilities before they are deployed. Binary Authorization can be configured to use these vulnerability scan results to make policy decisions, effectively preventing the deployment of insecure images. This approach leverages managed services provided by Google Cloud, ensuring scalability and compliance with security standards.
Option B: Developing custom organization policies to restrict deployments to images within a specific Artifact Registry project helps in controlling the source of images but does not inherently assess the security posture of those images. Without integrated vulnerability scanning and enforcement mechanisms, this approach may not fully mitigate the risk of deploying vulnerable images.
Option C: Building a system using third-party vulnerability databases and custom scripts requires significant maintenance and may not integrate seamlessly with GKE. This approach can be error-prone and lacks the efficiency of managed services designed for this purpose.
Option D: Automatically deploying new images upon successful CI/CD builds ensures rapid deployment but does not address the need for security assessments of the images. While setting up firewall rules is good practice, it does not prevent the deployment of potentially vulnerable images.
Therefore, Option A is the most effective approach, as it utilizes Google Cloud's managed services to enforce security policies and integrate vulnerability assessments directly into the deployment process, ensuring that only approved and secure container images are deployed to your GKE clusters.
Reference:
Binary Authorization Documentation
Container Analysis Documentation


NEW QUESTION # 296
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