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

SectionWeightObjectives
Topic 1: Managing operations19%- Automating infrastructure and application security
  • 1. Configuring Binary Authorization for GKE or Cloud Run
  • 2. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 3. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
  • 4. Automating security scanning for CVEs through CI/CD pipelines
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. Protecting and managing compute instance metadata
  • 3. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 4. Securing secrets with Secret Manager
Topic 3: Supporting compliance requirements14%- Determining security requirements
  • 1. Identifying security requirements (e.g., regulatory, compliance)
  • 2. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
  • 3. Implementing security controls for Vertex AI and AI/ML workloads
Topic 4: Configuring access25%- 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. Securing and protecting service accounts (including default service accounts)
  • 5. Creating, disabling, and authorizing service accounts
- Managing Cloud Identity
  • 1. Configuring Workforce Identity Federation
  • 2. Automating user lifecycle management processes
  • 3. Administering user accounts and groups programmatically
  • 4. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 5. Managing super administrator accounts
Topic 5: Configuring network security19%- Designing network security
  • 1. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 2. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 3. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 4. Using Cloud NAT to enable outbound traffic

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q161-Q166):

NEW QUESTION # 161
A customer implements Cloud Identity-Aware Proxy for their ERP system hosted on Compute Engine. Their security team wants to add a security layer so that the ERP systems only accept traffic from Cloud Identity- Aware Proxy.
What should the customer do to meet these requirements?

Answer: A

Explanation:
Use Cryptographic Verification If there is a risk of IAP being turned off or bypassed, your app can check to make sure the identity information it receives is valid. This uses a third web request header added by IAP, called X-Goog-IAP-JWT-Assertion. The value of the header is a cryptographically signed object that also contains the user identity data. Your application can verify the digital signature and use the data provided in this object to be certain that it was provided by IAP without alteration.


NEW QUESTION # 162
Your organization is using Active Directory and wants to configure Security Assertion Markup Language (SAML). You must set up and enforce single sign-on (SSO) for all users.
What should you do?

Answer: C

Explanation:
https://support.google.com/cloudidentity/answer/12032922?hl=en


NEW QUESTION # 163
An engineering team is launching a web application that will be public on the internet. The web application is hosted in multiple GCP regions and will be directed to the respective backend based on the URL request.
Your team wants to avoid exposing the application directly on the internet and wants to deny traffic from a specific list of malicious IP addresses Which solution should your team implement to meet these requirements?

Answer: C

Explanation:
The Cloud armor able to directed user traffic to an external HTTP(S) load balancer enters the PoP closest to the user in Premium Tier.
https://cloud.google.com/armor/docs/security-policy-overview#edge-security


NEW QUESTION # 164
You work for a healthcare provider that is expanding into the cloud to store and process sensitive patient data.
You must ensure the chosen Google Cloud configuration meets these strict regulatory requirements:
* Data must reside within specific geographic regions.
* Certain administrative actions on patient data require explicit approval from designated compliance officers.
* Access to patient data must be auditable.
What should you do?

Answer: D

Explanation:
To ensure compliance with strict regulatory requirements for storing and processing sensitive patient data in the cloud, the following measures should be implemented:
* Assured Workloads: Deploying an Assured Workloads environment in an approved region ensures that data residency requirements are met by restricting data storage and processing to specific geographic locations. Assured Workloads provide predefined controls and configurations tailored to meet regulatory compliance needs.
* Access Approval: Configuring Access Approval ensures that certain administrative actions on patient data require explicit approval from designated compliance officers. This adds a layer of control over sensitive operations, aligning with the need for explicit approvals.
* Cloud Audit Logs and Access Transparency: Enabling Cloud Audit Logs provides a detailed record of actions taken on your data, supporting the requirement for auditability. Access Transparency logs offer visibility into Google's administrative access to your content, enhancing transparency and compliance.
Therefore, Option C is the most appropriate choice, as it comprehensively addresses data residency, administrative control, and auditability requirements.
References:
* Assured Workloads Overview
* Access Approval Documentation
* Cloud Audit Logs Overview
* Access Transparency Overview


NEW QUESTION # 165
Your company's users access data in a BigQuery table. You want to ensure they can only access the data during working hours.
What should you do?

Answer: A

Explanation:
https://cloud.google.com/iam/docs/conditions-overview


NEW QUESTION # 166
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