Professional-Cloud-Security-Engineer Trainingsmaterialien: Google Cloud Certified - Professional Cloud Security Engineer Exam & Professional-Cloud-Security-Engineer Lernmittel & Google Professional-Cloud-Security-Engineer Quiz

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

Section	Weight	Objectives
Topic 1: Configuring access	25%	- Managing Cloud Identity 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 2. Configuring Workforce Identity Federation 3. Managing super administrator accounts 4. Automating user lifecycle management processes 5. Administering user accounts and groups programmatically - Managing service accounts 1. Managing and creating short-lived credentials 2. Creating, disabling, and authorizing service accounts 3. Identifying scenarios requiring service accounts 4. Securing and protecting service accounts (including default service accounts) 5. Securing, auditing, and mitigating usage of service account keys
Topic 2: Supporting compliance requirements	14%	- 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 3: Ensuring data protection	23%	- 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. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 4. Protecting and managing compute instance metadata
Topic 4: Managing operations	19%	- 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 5: Configuring network security	19%	- Designing network security 1. Configuring load balancing for security (Cloud Armor, SSL policies) 2. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 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 Professional-Cloud-Security-Engineer Prüfung Übungen und Antworten

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Google Cloud Certified - Professional Cloud Security Engineer Exam Professional-Cloud-Security-Engineer Prüfungsfragen mit Lösungen (Q278-Q283):

278. Frage
Your organization uses BigQuery to process highly sensitive, structured datasets. Following the
"need to know" principle, you need to create the Identity and Access Management (IAM) design to meet the needs of these users:
- Business user: must access curated reports.
- Data engineer: must administrate the data lifecycle in the platform.
- Security operator: must review user activity on the data platform.
What should you do?

A. Set row-based access control based on the "region" column, and filter the record from the United States for data engineers.
B. Generate a CSV data file based on the business user's needs, and send the data to their email addresses.
C. Configure data access log for BigQuery services, and grant Project Viewer role to security operator.
D. Create curated tables in a separate dataset and assign the role roles/bigquery.dataViewer.

Antwort: D

279. Frage
Your organization operates in a highly regulated environment and has a stringent set of compliance requirements for protecting customer data. You must encrypt data while in use to meet regulations. What should you do?

A. Establish a trusted execution environment with a Confidential VM.
B. Enable the use of customer-supplied encryption keys (CSEK) keys in the Google Compute Engine VMs to give your organization maximum control over their VM disk encryption.
C. Use a Shielded VM to ensure a secure boot with integrity monitoring for the application environment.
D. Use customer-managed encryption keys (CMEK) and Cloud KSM to enable your organization to control their keys for data encryption in Cloud SQL

Antwort: A

Begründung:
Comprehensive and Detailed Explanation From Exact Extract:
The requirement is to protect data while in use (meaning data in memory or CPU registers, during processing). This is a concept addressed by Confidential Computing using Trusted Execution Environments (TEEs).
Extracts:
"Confidential VMs are an IaaS solution... Confidential VMs offer: Encryption for 'data in use', including the processor state and the virtual machine's memory." (Source 4.1)
"Confidential computing protects data during processing by isolating workloads inside hardware-based trusted execution environments (TEEs), ensuring even cloud operators cannot access them." (Source 4.3)
"Confidential VMs extend the standard virtual machine concept by adding hardware-enforced confidentiality controls... they ensure data remains encrypted not only at rest and in transit, but also while in use." (Source
4.4)
Options A (CMEK) and B (CSEK) protect data at rest (disk encryption). Option D (Shielded VM) protects integrity and prevents rootkit compromise but does not encrypt memory while the data is actively being processed. Only Confidential VM (or TEE) protects data in use.

280. Frage
A customer is collaborating with another company to build an application on Compute Engine.
The customer is building the application tier in their GCP Organization, and the other company is building the storage tier in a different GCP Organization. This is a 3-tier web application.
Communication between portions of the application must not traverse the public internet by any means.
Which connectivity option should be implemented?

A. Cloud VPN
B. Shared VPC
C. VPC peering
D. Cloud Interconnect

Antwort: A

281. Frage
A patch for a vulnerability has been released, and a DevOps team needs to update their running containers in Google Kubernetes Engine (GKE).
How should the DevOps team accomplish this?

A. Verify that auto upgrade is enabled; if so, Google will upgrade the nodes in a GKE cluster.
B. Configure containers to automatically upgrade when the base image is available in Container Registry.
C. Use Puppet or Chef to push out the patch to the running container.
D. Update the application code or apply a patch, build a new image, and redeploy it.

Antwort: D

Begründung:
https://cloud.google.com/containers/security
Containers are meant to be immutable, so you deploy a new image in order to make changes.
You can simplify patch management by rebuilding your images regularly, so the patch is picked up the next time a container is deployed. Get the full picture of your environment with regular image security reviews.

282. Frage
You want to set up a secure, internal network within Google Cloud for database servers. The servers must not have any direct communication with the public internet. What should you do?

A. Assign a static public IP address to each database server. Use firewall rules to restrict external access.
B. Create a VPC with a private subnet. Assign a private IP address to each database server.
C. Assign a private IP address to each database server. Use a NAT gateway to provide internet connectivity to the database servers.
D. Assign both a private IP address and a public IP address to each database server.

Antwort: C

283. Frage
......

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