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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q63-Q68):

NEW QUESTION # 63
For compliance reasons, an organization needs to ensure that in-scope PCI Kubernetes Pods reside on "in- scope" Nodes only. These Nodes can only contain the "in-scope" Pods.
How should the organization achieve this objective?

A. Add a nodeSelector field to the pod configuration to only use the Nodes labeled inscope: true.
B. Create a node pool with the label inscope: true and a Pod Security Policy that only allows the Pods to run on Nodes with that label.
C. Run all in-scope Pods in the namespace "in-scope-pci".
D. Place a taint on the Nodes with the label inscope: true and effect NoSchedule and a toleration to match in the Pod configuration.

Answer: A

Explanation:
Explanation
nodeSelector is the simplest recommended form of node selection constraint. You can add the nodeSelector field to your Pod specification and specify the node labels you want the target node to have. Kubernetes only schedules the Pod onto nodes that have each of the labels you specify. =>
https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#nodeselector Tolerations are applied to pods. Tolerations allow the scheduler to schedule pods with matching taints. Tolerations allow scheduling but don't guarantee scheduling: the scheduler also evaluates other parameters as part of its function. =>
https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/

NEW QUESTION # 64
Your organization wants to protect all workloads that run on Compute Engine VM to ensure that the instances weren't compromised by boot-level or kernel-level malware. Also, you need to ensure that data in use on the VM cannot be read by the underlying host system by using a hardware-based solution.
What should you do?

A. 1. Activate Virtual Machine Threat Detection in Security Command Center (SCC) Premium.
2. Monitor the findings in SCC.
B. 1. Use Google Shielded VM including secure boot, Virtual Trusted Platform Module (vTPM), and integrity monitoring.
2. Create a Cloud Run function to check for the VM settings, generate metrics, and run the function regularly.
C. 1. Use secure hardened images from the Google Cloud Marketplace.
2. When deploying the images, activate the Confidential Computing option.
3. Enforce the use of the correct images and Confidential Computing by using organization policies.
D. 1. Use Google Shielded VM including secure boot, Virtual Trusted Platform Module (vTPM), and integrity monitoring.
2. Activate Confidential Computing.
3. Enforce these actions by using organization policies.

Answer: D

NEW QUESTION # 65
Your organization strives to be a market leader in software innovation. You provided a large number of Google Cloud environments so developers can test the integration of Gemini in Vertex AI into their existing applications or create new projects. Your organization has 200 developers and a five-person security team. You must prevent and detect proper security policies across the Google Cloud environments. What should you do? (Choose 2 answers)

A. Implement the least privileged access Identity and Access Management roles to prevent misconfigurations.
B. Apply a predefined AI-recommended security posture template for Gemini in Vertex AI in Security Command Center Enterprise or Premium tiers.
C. Use Cloud Logging to create log filters to detect misconfigurations. Trigger Cloud Run functions to remediate misconfigurations.
D. Publish internal policies and clear guidelines to securely develop applications.
E. Apply organization policy constraints. Detect and monitor drifts by using Security Health Analytics.

Answer: A,E

Explanation:
To maintain proper security policies across numerous Google Cloud environments, especially with a large developer base and a small security team, it's crucial to implement automated and scalable security measures.
Option A: While applying AI-recommended security posture templates can be beneficial, as of now, there isn't a specific predefined template for Gemini in Vertex AI within the Security Command Center.
Option B: Publishing internal policies and guidelines is essential for promoting secure development practices but may not be sufficient alone to enforce or detect security policies.
Option C: Implementing the principle of least privilege through Identity and Access Management (IAM) roles minimizes the risk of misconfigurations and unauthorized access by ensuring users have only the permissions necessary for their tasks.
Option D: Applying organization policy constraints enforces specific configurations and restrictions across projects. Utilizing Security Health Analytics helps in detecting and monitoring deviations from these policies, providing automated insights into potential security issues.
Option E: Using Cloud Logging to detect misconfigurations and triggering Cloud Run functions for remediation introduces complexity and may require significant maintenance, making it less practical for a small security team.
Therefore, Options C and D are the most effective strategies. They provide automated enforcement and monitoring of security policies, aligning with the need for scalable solutions given the organization's size and resources.
Reference:
Identity and Access Management (IAM) Overview
Organization Policy Service Overview
Security Health Analytics Overview

NEW QUESTION # 66
You are running code in Google Kubernetes Engine (GKE) containers in Google Cloud that require access to objects stored in a Cloud Storage bucket. You need to securely grant the Pods access to the bucket while minimizing management overhead. What should you do?

A. Create a service account with keys. Store the keys in Secret Manager. Reference the keys in the Pods.
B. Create a service account. Grant bucket access to the Pods by using Workload Identity Federation for GKE.
C. Create a service account with keys. Store the keys as a Kubernetes secret. Reference the keys in the Pods.
D. Create a service account with keys. Store the keys in Secret Manager with a 30-day rotation schedule. Reference the keys in the Pods.

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity

NEW QUESTION # 67
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?

A. Set up a workload identity pool with your corporate Active Directory Federation Service (ADFS) Let all principals in the pool impersonate the Google Cloud service account.
B. Set up a workload identity pool with an OpenID Connect (OIDC) service on the same machine Let all principals in the pool impersonate the Google Cloud service account.
C. Set up a workload identity pool with an OpenID Connect (OIDC) service on the name machine Configure a rule to let principals in the pool impersonate the Google Cloud service account.
D. Set up a workload identity pool with your corporate Active Directory Federation Service (ADFS) Configure a rule to let principals in the pool impersonate the Google Cloud service account.

Answer: D

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.
Workload Identity Federation Documentation
Federating On-Premises Identities to Workload Identity Federation

NEW QUESTION # 68
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