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Google Professional-Cloud-Security-Engineer Certification Exam tests the candidate's ability to implement and manage security solutions on Google Cloud Platform. Professional-Cloud-Security-Engineer exam covers various security topics such as identity and access management, data protection, network security, and compliance. The format of the exam is multiple-choice questions and scenario-based questions. Professional-Cloud-Security-Engineer exam duration is two hours, and it requires a passing score of 70% or higher.
The Google Professional-Cloud-Security-Engineer Exam consists of multiple-choice questions, and candidates have two hours to complete it. Professional-Cloud-Security-Engineer exam covers various topics, including cloud security concepts, network security, data protection, compliance, and incident management. Candidates must demonstrate their understanding of these topics by answering questions based on real-world scenarios.
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Google Professional-Cloud-Security-Engineer (Google Cloud Certified - Professional Cloud Security Engineer) Certification Exam is designed to test the knowledge, skills, and expertise of candidates in securing cloud environments using Google Cloud Platform (GCP) technologies. Google Cloud Certified - Professional Cloud Security Engineer Exam certification exam is aimed at cloud security professionals who have the necessary skills to design, implement, and manage security solutions using GCP. Google Cloud Certified - Professional Cloud Security Engineer Exam certification is an industry-recognized credential that validates the candidate's ability to handle security challenges in cloud environments.
Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q44-Q49):
NEW QUESTION # 44
Your organization is transitioning to Google Cloud You want to ensure that only trusted container images are deployed on Google Kubernetes Engine (GKE) clusters in a project. The containers must be deployed from a centrally managed. Container Registry and signed by a trusted authority.
What should you do?
Choose 2 answers
- A. Enable Pod Security standards and set them to Restricted.
- B. Create a custom organization policy constraint to enforce Binary Authorization for Google Kubernetes Engine (GKE).
- C. Enable Container Threat Detection in the Security Command Center (SCC) for the project.
- D. Configure the Binary Authorization policy with respective attestations for the project.
- E. Configure the trusted image organization policy constraint for the project.
Answer: B,D
Explanation:
Configure Binary Authorization:
Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on GKE. It uses attestations to verify the authenticity and integrity of the images.
Enable Binary Authorization in your project through the Google Cloud Console or using the gcloud command-line tool.
Define attestation policies that specify which attestors (trusted entities) must sign off on container images before deployment.
Set Up Attestors:
Create and configure attestors that will sign the container images. This involves generating cryptographic keys and setting up trusted authorities.
Attestors can be configured to sign images based on criteria such as vulnerability scanning results, compliance checks, and other security policies.
Create a Custom Organization Policy Constraint:
Define an organization policy constraint that enforces Binary Authorization across your GKE clusters.
This custom constraint ensures that all clusters in the organization must adhere to the Binary Authorization policy, preventing the deployment of unsigned or unauthorized container images.
Implement and Enforce the Policies:
Apply the Binary Authorization policy and the organization policy constraint to your GKE clusters.
Regularly review and update the policies and attestation rules to align with your security and compliance requirements.
Reference:
Binary Authorization Documentation
Creating Attestors
Organization Policy Constraints
NEW QUESTION # 45
You are in charge of migrating a legacy application from your company datacenters to GCP before the current maintenance contract expires. You do not know what ports the application is using and no documentation is available for you to check. You want to complete the migration without putting your environment at risk.
What should you do?
- A. Migrate the application into an isolated project using a "Lift & Shift" approach. Enable all internal TCP traffic using VPC Firewall rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
- B. Refactor the application into a micro-services architecture in a GKE cluster. Disable all traffic from outside the cluster using Firewall Rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
- C. Refactor the application into a micro-services architecture hosted in Cloud Functions in an isolated project.Disable all traffic from outside your project using Firewall Rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
- D. Migrate the application into an isolated project using a "Lift & Shift" approach in a custom network. Disable all traffic within the VPC and look at the Firewall logs to determine what traffic should be allowed for the application to work properly.
Answer: A
Explanation:
Migrate the application into an isolated project using a "Lift & Shift" approach. Enable all internal TCP traffic using VPC Firewall rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
NEW QUESTION # 46
Your company has multiple teams needing access to specific datasets across various Google Cloud data services for different projects. You need to ensure that team members can only access the data relevant to their projects and prevent unauthorized access to sensitive information within BigQuery, Cloud Storage, and Cloud SQL. What should you do?
- A. Use VPC Service Controls to create security perimeters around the projects for BigQuery. Cloud Storage, and Cloud SQL services. restricting access based on the network origin of the requests.
- B. Configure an access level to control access to the Google Cloud console for users managing these data services. Require multi-factor authentication for all access attempts.
- C. Grant project-level group permissions by using specific Cloud IAM roles. Use BigQuery authorized views. Cloud Storage uniform bucket-level access, and Cloud SQL database roles.
- D. Enable project-level data access logs for BigQuery. Cloud Storage, and Cloud SQL. Configure log sinks to export these logs to Security Command Center to identify unauthorized access attempts.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
This question requires implementing fine-grained data access control across multiple services based on the Principle of Least Privilege.
Project/Service Access (IAM): Granting project-level group permissions with specific Cloud IAM roles (e.g., BigQuery Data Viewer) is the primary way to control who has access to which project's resources.
Data Isolation (Service-Specific): To ensure only relevant data is accessed and to protect sensitive information within the datasets, you must use the most granular control mechanism available for each service:
BigQuery: Authorized Views allow access to specific query results (subsets of data) without granting access to the underlying table.
Cloud Storage: Uniform bucket-level access simplifies and tightens security by forcing all access to be controlled by IAM, preventing accidental object-level exposure.
Cloud SQL: Database Roles are the native, most granular way to control access within the database itself (e.
g., read-only access to specific tables).
Extracts (Conceptual Basis):
"The principle of least privilege dictates that users should only have the permissions necessary to perform their jobs. Granular access is enforced using a combination of IAM roles and service-native access controls." (Source 5.1)
"For BigQuery, using authorized views is the standard way to limit data exposure to users who should only see a subset of data." (Source 5.2)
NEW QUESTION # 47
You must ensure that the keys used for at-rest encryption of your data are compliant with your organization's security controls. One security control mandates that keys get rotated every 90 days. You must implement an effective detection strategy to validate if keys are rotated as required. What should you do?
- A. Analyze the crypto key versions of the keys by using data from Cloud Asset Inventory. If an active key is older than 90 days, send an alert message through your incident notification channel.
- B. Define a metric that checks for timely key updates by using Cloud Logging. If a key is not rotated after 90 days, send an alert message through your incident notification channel.
- C. Identify keys that have not been rotated by using Security Health Analytics. If a key is not rotated after 90 days, a finding in Security Command Center is raised.
- D. Assess the keys in the Cloud Key Management Service by implementing code in Cloud Run. If a key is not rotated after 90 days, raise a finding in Security Command Center.
Answer: A
NEW QUESTION # 48
Which international compliance standard provides guidelines for information security controls applicable to the provision and use of cloud services?
- A. ISO 27001
- B. ISO 27002
- C. ISO 27017
- D. ISO 27018
Answer: C
Explanation:
Explanation
Create a new Service Account that should be able to list the Compute Engine instances in the project. You want to follow Google-recommended practices.
https://cloud.google.com/security/compliance/iso-27017
NEW QUESTION # 49
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