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

Section	Weight	Objectives
Topic 1: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 2. Protecting and managing compute instance metadata 3. Securing secrets with Secret Manager 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
Topic 2: Configuring network security	19%	- Designing network security 1. Configuring load balancing for security (Cloud Armor, SSL policies) 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. Using Cloud NAT to enable outbound traffic
Topic 3: Configuring access	25%	- Managing service accounts 1. Identifying scenarios requiring service accounts 2. Securing, auditing, and mitigating usage of service account keys 3. Creating, disabling, and authorizing service accounts 4. Managing and creating short-lived credentials 5. Securing and protecting service accounts (including default service accounts) - Managing Cloud Identity 1. Managing super administrator accounts 2. Configuring Workforce Identity Federation 3. Administering user accounts and groups programmatically 4. Automating user lifecycle management processes 5. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
Topic 4: 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 5: Managing operations	19%	- Automating infrastructure and application security 1. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics) 2. Automating virtual machine and container image creation (hardening, maintenance, patch management) 3. Configuring Binary Authorization for GKE or Cloud Run 4. Automating security scanning for CVEs through CI/CD pipelines

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q88-Q93):

NEW QUESTION # 88
You are setting up a CI/CD pipeline to deploy containerized applications to your production clusters on Google Kubernetes Engine (GKE). You need to prevent containers with known vulnerabilities from being deployed. You have the following requirements for your solution:
Must be cloud-native
Must be cost-efficient
Minimize operational overhead
How should you accomplish this? (Choose two.)

A. Deploy Jenkins on GKE and configure a CI/CD pipeline to deploy your containers to Container Registry. Add a step to validate your container images before deploying your container to the cluster.
B. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a Binary Authorization policy to block deployments of containers with no attestation in your cluster.
C. Use a cron job on a Compute Engine instance to scan your existing repositories for known vulnerabilities and raise an alert if a non-compliant container image is found.
D. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories repository. Add a step to analyze Container Analysis results before allowing the build to continue.
E. Use a Cloud Function triggered by log events in Google Cloud's operations suite to automatically scan your container images in Container Registry.

Answer: B,D

Explanation:
Reference:
https://cloud.google.com/container-analysis/docs/container-analysis
Container Analysis is a service that provides vulnerability scanning and metadata storage for containers. The scanning service performs vulnerability scans on images in Container Registry and Artifact Registry, then stores the resulting metadata and makes it available for consumption through an API.
https://cloud.google.com/binary-authorization/docs/attestations
After a container image is built, an attestation can be created to affirm that a required activity was performed on the image such as a regression test, vulnerability scan, or other test. The attestation is created by signing the image's unique digest.
During deployment, instead of repeating the activities, Binary Authorization verifies the attestations using an attestor. If all of the attestations for an image are verified, Binary Authorization allows the image to be deployed.

NEW QUESTION # 89
Employees at your company use their personal computers to access your organization s Google Cloud console. You need to ensure that users can only access the Google Cloud console from their corporate-issued devices and verify that they have a valid enterprise certificate What should you do?

A. Implement an Access Policy in BeyondCorp Enterprise to verify the device certificate Create an access binding with the access policy just created.
B. Implement an Identity and Access Management (1AM) conditional policy to verify the device certificate
C. Implement a VPC firewall policy Activate packet inspection and create an allow rule to validate and verify the device certificate.
D. Implement an organization policy to verify the certificate from the access context.

Answer: A

Explanation:
https://cloud.google.com/beyondcorp?hl=pt-br

NEW QUESTION # 90
You are responsible for a set of Cloud Functions running on your organization's Google Cloud environment. During the last annual security review, secrets were identified in environment variables of some of these Cloud Functions. You must ensure that secrets are identified in a timely manner. What should you do?

A. Implement a Cloud Function that scans the environment variables multiple times a day, and creates a finding in Security Command Center if secrets are discovered.
B. Implement regular peer reviews to assess the environment variables and identify secrets in your Cloud Functions. Raise a security incident if secrets are discovered.
C. Use Sensitive Data Protection to scan the environment variables multiple times per day, and create a finding in Security Command Center if secrets are discovered.
D. Integrate dynamic application security testing into the CI/CD pipeline that scans the application code for the Cloud Functions. Fail the build process if secrets are discovered.

Answer: C

Explanation:
https://cloud.google.com/sensitive-data-protection/docs/secrets-discovery#why

NEW QUESTION # 91
You are working with protected health information (PHI) for an electronic health record system. The privacy officer is concerned that sensitive data is stored in the analytics system. You are tasked with anonymizing the sensitive data in a way that is not reversible. Also, the anonymized data should not preserve the character set and length. Which Google Cloud solution should you use?

A. Cloud Data Loss Prevention with Cloud Key Management Service wrapped cryptographic keys
B. Cloud Data Loss Prevention with deterministic encryption using AES-SIV
C. Cloud Data Loss Prevention with cryptographic hashing
D. Cloud Data Loss Prevention with format-preserving encryption

Answer: C

NEW QUESTION # 92
You are a Cloud Identity administrator for your organization. In your Google Cloud environment groups are used to manage user permissions. Each application team has a dedicated group Your team is responsible for creating these groups and the application teams can manage the team members on their own through the Google Cloud console. You must ensure that the application teams can only add users from within your organization to their groups.
What should you do?

A. Define an Identity and Access Management (IAM) deny policy that denies the assignment of principals that are outside your organization to the groups in scope.
B. Export the Cloud Identity logs to BigQuery Configure an alert for external members added to groups Have the alert trigger a Cloud Function instance that removes the external members from the group.
C. Change the configuration of the relevant groups in the Google Workspace Admin console to prevent external users from being added to the group.
D. Set an Identity and Access Management (1AM) policy that includes a condition that restricts group membership to user principals that belong to your organization.

Answer: C

Explanation:
To ensure that application teams can only add users from within your organization to their groups, you need to configure the group settings in the Google Workspace Admin console. Here are the steps:
Access Google Workspace Admin Console:
Go to the Google Workspace Admin console.
Navigate to the Groups section.
Configure Group Settings:
Select the relevant groups used by the application teams.
Go to the group settings and set the group to only allow members from your domain.
This prevents external users from being added to these groups.
Apply and Save Changes:
Apply the changes to ensure that only users from within your organization can be added to these groups.
Verify Configuration:
Test the configuration by attempting to add an external user to the group and verifying that it is not allowed.
Benefits:
Security: Prevents unauthorized access by ensuring that only internal users can be added to groups.
Compliance: Helps in adhering to organizational policies regarding user access and management.
Reference:
Google Workspace Admin Help: Groups

NEW QUESTION # 93
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