Quiz 2026 Google Valid Professional-Cloud-Security-Engineer: Latest Google Cloud Certified - Professional Cloud Security Engineer Exam Dumps

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

SectionWeightObjectives
Topic 1: Managing operations19%- Automating infrastructure and application security
  • 1. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 2. Configuring Binary Authorization for GKE or Cloud Run
  • 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: Configuring network security19%- Designing network security
  • 1. Using Cloud NAT to enable outbound traffic
  • 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 4. Configuring load balancing for security (Cloud Armor, SSL policies)
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. Securing, auditing, and mitigating usage of service account keys
  • 2. Managing and creating short-lived credentials
  • 3. Creating, disabling, and authorizing service accounts
  • 4. Identifying scenarios requiring service accounts
  • 5. Securing and protecting service accounts (including default service accounts)
- Managing Cloud Identity
  • 1. Managing super administrator accounts
  • 2. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 3. Configuring Workforce Identity Federation
  • 4. Administering user accounts and groups programmatically
  • 5. Automating user lifecycle management processes
Topic 5: Ensuring data protection23%- 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. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
  • 4. Securing secrets with Secret Manager

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
Your company recently published a security policy to minimize the usage of service account keys. On- premises Windows-based applications are interacting with Google Cloud APIs. You need to implement Workload Identity Federation (WIF) with your identity provider on-premises.
What should you do?

Answer: B

Explanation:
To minimize the usage of service account keys and implement Workload Identity Federation (WIF) with your on-premises identity provider, you can use a workload identity pool integrated with your corporate Active Directory Federation Service (ADFS). This setup allows your on-premises Windows-based applications to authenticate to Google Cloud APIs without using long-lived service account keys.
* Set Up a Workload Identity Pool:
* In the Google Cloud Console, go to IAM & Admin > Workload Identity Federation.
* Create a new workload identity pool.
* Configure the pool to trust your corporate ADFS by specifying the federation provider details.
* Create a Workload Identity Provider:
* Within the created pool, set up a new provider for ADFS.
* Configure the provider with the necessary details such as the issuer URL and credentials.
* Configure Impersonation Rules:
* Set up rules to allow principals in the workload identity pool to impersonate specific Google Cloud service accounts.
* This is done by specifying the identity provider and the conditions under which the service accounts can be impersonated.
* Update Applications:
* Modify your on-premises applications to use the configured ADFS authentication to obtain tokens.
* These tokens can then be exchanged for Google Cloud access tokens to interact with Google Cloud APIs securely.
By setting up the workload identity pool and configuring impersonation rules, you achieve secure authentication without needing to distribute and manage service account keys.
References:
* Workload Identity Federation Documentation
* Federating On-Premises Identities to Workload Identity Federation


NEW QUESTION # 35
An organization is evaluating the use of Google Cloud Platform (GCP) for certain IT workloads. A well- established directory service is used to manage user identities and lifecycle management. This directory service must continue for the organization to use as the "source of truth" directory for identities.
Which solution meets the organization's requirements?

Answer: D


NEW QUESTION # 36
You are setting up a new Cloud Storage bucket in your environment that is encrypted with a customer managed encryption key (CMEK). The CMEK is stored in Cloud Key Management Service (KMS). in project
"pr j -a", and the Cloud Storage bucket will use project "prj-b". The key is backed by a Cloud Hardware Security Module (HSM) and resides in the region europe-west3. Your storage bucket will be located in the region europe-west1. When you create the bucket, you cannot access the key. and you need to troubleshoot why.
What has caused the access issue?

Answer: C

Explanation:
When you use a customer-managed encryption key (CMEK) to secure a Cloud Storage bucket, the key and the bucket must be located in the same region. In this case, the key is in europe-west3 and the bucket is in europe-west1, which is why you're unable to access the key.


NEW QUESTION # 37
Your organization is using GitHub Actions as a continuous integration and delivery (Cl/CD) platform. You must enable access to Google Cloud resources from the Cl/CD pipelines in the most secure way.
What should you do?

Answer: C


NEW QUESTION # 38
A customer's internal security team must manage its own encryption keys for encrypting data on Cloud Storage and decides to use customer-supplied encryption keys (CSEK).
How should the team complete this task?

Answer: B

Explanation:
To use customer-supplied encryption keys (CSEK) for encrypting data on Cloud Storage, follow these steps:
* Generate an Encryption Key: Generate a 256-bit AES encryption key. This key should be base64- encoded.
sh
Copy code
openssl rand -base64 32
* Upload Object with CSEK: Use the gsutil command-line tool to upload the object to Cloud Storage, specifying the location of the encryption key using the -o option.
gsutil -o "GSUtil:encryption_key=<base64-encoded-key>" cp [LOCAL_OBJECT_PATH] gs://
[BUCKET_NAME]/
* Verify Encryption: After uploading the object, you can verify that it is encrypted using the provided CSEK by checking the object's metadata.
gsutil stat gs://[BUCKET_NAME]/[OBJECT_NAME]
* Key Management: Ensure that the encryption key is securely stored and managed. It should not be hard-coded in scripts or applications.
By using the gsutil tool and specifying the encryption key, you ensure that the object is encrypted using the customer-supplied encryption key during the upload process.
References:
* Customer-Supplied Encryption Keys (CSEK) Documentation
* gsutil Command Line Tool Documentation


NEW QUESTION # 39
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