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

Section	Objectives
Topic 1: Configure access within a cloud solution environment	- Identity and Access Management (IAM) 1. Service accounts and workload identity 2. Implement least privilege access 3. Manage IAM roles and permissions
Topic 2: Configure network security	- Google Cloud network security controls 1. VPC firewall rules 2. Cloud Armor and DDoS protection 3. Private Google Access and restricted services
Topic 3: Ensure data protection	- Encryption and key management 1. Customer-managed encryption keys (CMEK) 2. Data loss prevention (DLP) concepts 3. Cloud KMS and key lifecycle management
Topic 4: Manage operations within a cloud security environment	- Security monitoring and operations 1. Logging and monitoring with Cloud Logging 2. Incident response and alerting 3. Security Command Center usage

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q195-Q200):

NEW QUESTION # 195
Your organization is using Model Garden to maintain a collection of models in a single location and to deploy different types of models in a consistent way. You must ensure that your users can only access the approved models. What should you do?

A. Regularly audit user activity logs in Vertex AI to identify and revoke access to unapproved models.
B. Train custom models within your Vertex AI project, and restrict user access to these models.
C. Implement an organization policy that restricts the vertexai.allowedModels constraint.
D. Configure IAM permissions on individual Model Garden to restrict access to specific models.

Answer: C

Explanation:
To centrally govern and restrict which AI models (from the Model Garden) can be used within an organization, Google Cloud provides a specific Organization Policy Constraint.9 According to Google Cloud Documentation (Vertex AI Organization Policy Constraints):
" The constraints/vertexai.allowedModels constraint allows you to define a list of allowed models that can be deployed or used within your organization. This includes Google first-party models, open-source models, and third-party models available in the Model Garden.10 By using this policy, you can prevent users from using unvetted or non-compliant models even if they have IAM permissions to use Vertex AI. " How it works:
You define an " Allowlist " of model IDs.
When a user attempts to deploy a model or call an API for a model not on the list, the request is blocked.
This is the most scalable and compliant way to manage AI governance.
Why other options are incorrect:
A is incorrect: Model Garden is a catalog; you cannot apply granular IAM permissions to individual entries within the public catalog itself in the same way you can restrict API usage via Org Policy.
B is incorrect: Auditing is reactive. The requirement is to ensure users can only access approved models (prevention).
Reference:
Google Cloud Documentation: " Vertex AI organization policy constraints " (https://cloud.google.com/vertex- ai/docs/general/org-policies).

NEW QUESTION # 196
A customer deploys an application to App Engine and needs to check for Open Web Application Security Project (OWASP) vulnerabilities.
Which service should be used to accomplish this?

A. Cloud Armor
B. Google Cloud Audit Logs
C. Cloud Security Scanner
D. Forseti Security

Answer: C

Explanation:
https://cloud.google.com/security-scanner/

NEW QUESTION # 197
You are creating an internal App Engine application that needs to access a user's Google Drive on the user's behalf. Your company does not want to rely on the current user's credentials. It also wants to follow Google-recommended practices.
What should you do?

A. Create a new Service account, and give all application users the role of Service Account User.
B. Use a dedicated G Suite Admin account, and authenticate the application's operations with these G Suite credentials.
C. Create a new Service account, and add all application users to a Google Group. Give this group the role of Service Account User.
D. Create a new service account, and grant it G Suite domain-wide delegation. Have the application use it to impersonate the user.

Answer: A

NEW QUESTION # 198
You are developing a new application that uses exclusively Compute Engine VMs Once a day. this application will execute five different batch jobs Each of the batch jobs requires a dedicated set of permissions on Google Cloud resources outside of your application. You need to design a secure access concept for the batch jobs that adheres to the least-privilege principle What should you do?

A. 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2. Create one service account per batch job Mb-sa-[1-5]," and grant only the permissions required to run the individual batch jobs to the service accounts.
* 3. Grant the Service Account Token Creator role to g-sa Use g-sa to obtain short-lived access tokens for b-sa-[1-5] and to execute the batch jobs with the permissions of b-sa-[1-5].
B. 1. Create a workload identity pool and configure workload identity pool providers for each batch job
* 2 Assign the workload identity user role to each of the identities configured in the providers.
* 3. Create one service account per batch job Mb-sa-[1-5]". and grant only the permissions required to run the individual batch jobs to the service accounts
C. 1. Create a general service account **g-sa" to execute the batch jobs.
* 2 Grant the permissions required to execute the batch jobs to g-sa.
* 3. Execute the batch jobs with the permissions granted to g-sa

Answer: A

Explanation:
* 4 Generate credential configuration files for each of the providers Use these files to execute the batch jobs with the permissions of b-sa-[1-5].
D.
* 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2 Create one service account per batch job 'b-sa-[1-5)\ Grant only the permissions required to run the individual batch jobs to the service accounts and generate service account keys for each of these service accounts
* 3. Store the service account keys in Secret Manager. Grant g-sa access to Secret Manager and run the batch jobs with the permissions of b-sa-[1-5].

NEW QUESTION # 199
Your organization is moving virtual machines (VMs) to Google Cloud. You must ensure that operating system images that are used across your projects are trusted and meet your security requirements.
What should you do?

A. Implement an organization policy to enforce that boot disks can only be created from images that come from the trusted image project.
B. Automate a security scanner that verifies that no common vulnerabilities and exposures (CVEs) are present in your trusted image repository.
C. Create a Cloud Function that is automatically triggered when a new virtual machine is created from the trusted image repository Verify that the image is not deprecated.
D. Implement an organization policy constraint that enables the Shielded VM service on all projects to enforce the trusted image repository usage.

Answer: B

NEW QUESTION # 200
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