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

Section	Weight	Objectives
Managing operations	19%	- 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)
Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Protecting and managing compute instance metadata 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 3. Securing secrets with Secret Manager 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
Configuring network security	19%	- Designing network security 1. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 2. Configuring load balancing for security (Cloud Armor, SSL policies) 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 4. Using Cloud NAT to enable outbound traffic
Configuring access	25%	- Managing Cloud Identity 1. Administering user accounts and groups programmatically 2. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 3. Managing super administrator accounts 4. Configuring Workforce Identity Federation 5. Automating user lifecycle management processes - Managing service accounts 1. Securing and protecting service accounts (including default service accounts) 2. Identifying scenarios requiring service accounts 3. Creating, disabling, and authorizing service accounts 4. Managing and creating short-lived credentials 5. Securing, auditing, and mitigating usage of service account keys
Supporting compliance requirements	14%	- Determining security requirements 1. Implementing security controls for Vertex AI and AI/ML workloads 2. Identifying security requirements (e.g., regulatory, compliance) 3. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
An organization is moving applications to Google Cloud while maintaining a few mission-critical applications on-premises. The organization must transfer the data at a bandwidth of at least 50 Gbps. What should they use to ensure secure continued connectivity between sites?

A. Cloud Router
B. Dedicated Interconnect
C. Cloud VPN
D. Partner Interconnect

Answer: B

NEW QUESTION # 38
Your organization strives to be a market leader in software innovation. You provided a large number of Google Cloud environments so developers can test the integration of Gemini in Vertex AI into their existing applications or create new projects. Your organization has 200 developers and a five-person security team.
You must prevent and detect proper security policies across the Google Cloud environments. What should you do? (Choose 2 answers)

A. Implement the least privileged access Identity and Access Management roles to prevent misconfigurations.
B. Apply organization policy constraints. Detect and monitor drifts by using Security Health Analytics.
C. Publish internal policies and clear guidelines to securely develop applications.
D. Use Cloud Logging to create log filters to detect misconfigurations. Trigger Cloud Run functions to remediate misconfigurations.
E. Apply a predefined AI-recommended security posture template for Gemini in Vertex AI in Security Command Center Enterprise or Premium tiers.

Answer: A,B

Explanation:
To maintain proper security policies across numerous Google Cloud environments, especially with a large developer base and a small security team, it's crucial to implement automated and scalable security measures.
* Option A: While applying AI-recommended security posture templates can be beneficial, as of now, there isn't a specific predefined template for Gemini in Vertex AI within the Security Command Center.
* Option B: Publishing internal policies and guidelines is essential for promoting secure development practices but may not be sufficient alone to enforce or detect security policies.
* Option C: Implementing the principle of least privilege through Identity and Access Management (IAM) roles minimizes the risk of misconfigurations and unauthorized access by ensuring users have only the permissions necessary for their tasks.
* Option D: Applying organization policy constraints enforces specific configurations and restrictions across projects. Utilizing Security Health Analytics helps in detecting and monitoring deviations from these policies, providing automated insights into potential security issues.
* Option E: Using Cloud Logging to detect misconfigurations and triggering Cloud Run functions for remediation introduces complexity and may require significant maintenance, making it less practical for a small security team.
Therefore, Options C and D are the most effective strategies. They provide automated enforcement and monitoring of security policies, aligning with the need for scalable solutions given the organization's size and resources.
References:
* Identity and Access Management (IAM) Overview
* Organization Policy Service Overview
* Security Health Analytics Overview

NEW QUESTION # 39
A customer's data science group wants to use Google Cloud Platform (GCP) for their analytics workloads.
Company policy dictates that all data must be company-owned and all user authentications must go through their own Security Assertion Markup Language (SAML) 2.0 Identity Provider (IdP). The Infrastructure Operations Systems Engineer was trying to set up Cloud Identity for the customer and realized that their domain was already being used by G Suite.
How should you best advise the Systems Engineer to proceed with the least disruption?

A. Contact Google Support and initiate the Domain Contestation Process to use the domain name in your new Cloud Identity domain.
B. Register a new domain name, and use that for the new Cloud Identity domain.
C. Ask Google to provision the data science manager's account as a Super Administrator in the existing domain.
D. Ask customer's management to discover any other uses of Google managed services, and work with the existing Super Administrator.

Answer: D

Explanation:
Since the domain is already being used by G Suite, the best course of action is to minimize disruption by discovering any existing uses of Google-managed services. Collaborate with the existing Super Administrator to align the setup with the company's requirements.
Step-by-Step:
* Identify Existing Usage: Have the customer's management identify all current uses of the domain within Google-managed services.
* Collaboration: Work closely with the existing Super Administrator of the domain.
* Provision Required Accounts: Ask the Super Administrator to provision necessary accounts and permissions for the data science manager or other relevant personnel.
* Integrate SAML IdP: Ensure that the existing domain integrates with the company's SAML 2.0 IdP for user authentication.
* Set Up Cloud Identity: Configure Cloud Identity under the guidance of the Super Administrator without disrupting current services.
Google Cloud Identity Administration
Google Support for Domain Issues

NEW QUESTION # 40
You need to implement an encryption-at-rest strategy that protects sensitive data and reduces key management complexity for non-sensitive dat a. Your solution has the following requirements:
Schedule key rotation for sensitive data.
Control which region the encryption keys for sensitive data are stored in.
Minimize the latency to access encryption keys for both sensitive and non-sensitive data.
What should you do?

A. Encrypt non-sensitive data and sensitive data with Cloud External Key Manager.
B. Encrypt non-sensitive data with Google default encryption, and encrypt sensitive data with Cloud Key Management Service.
C. Encrypt non-sensitive data and sensitive data with Cloud Key Management Service.
D. Encrypt non-sensitive data with Google default encryption, and encrypt sensitive data with Cloud External Key Manager.

Answer: C

NEW QUESTION # 41
You have been tasked with implementing external web application protection against common web application attacks for a public application on Google Cloud.
You want to validate these policy changes before they are enforced. What service should you use?

A. The inherent protections of Google Front End (GFE)
B. Prepopulated VPC firewall rules in monitor mode
C. Google Cloud Armor's preconfigured rules in preview mode
D. VPC Service Controls in dry run mode
E. Cloud Load Balancing firewall rules

Answer: C

Explanation:
You can preview the effects of a rule without enforcing it. In preview mode, actions are noted in Cloud Monitoring. You can choose to preview individual rules in a security policy, or you can preview every rule in the policy.
https://cloud.google.com/armor/docs/security-policy-overview#preview_mode

NEW QUESTION # 42
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