New (2026) Google Professional-Cloud-Security-Engineer Exam Dumps
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Ensure Compliance
- Compute Environment Concerns Comprehension: The considerations for this area include the determination of which compute environment is relevant based on the compliance standards of a company. Also, a potential candidate should have some knowledge of security constraints and guarantees for each of the computing environments.
- Regulatory Concerns Comprehension: The test takers should be able to evaluate the concerns related to network, data, and compute and be skillful enough to limit data and compute for regulatory compliance. They also need to have an understanding of the shared responsibility model for security and security guarantees in a Cloud execution environment;
The Google Professional-Cloud-Security-Engineer exam covers a range of topics, including designing and implementing security controls for cloud infrastructure, configuring and managing network security, implementing data protection measures, and managing incident response and disaster recovery. Candidates must demonstrate their ability to assess security risks and compliance requirements, and design and implement security solutions that meet these requirements. Professional-Cloud-Security-Engineer exam consists of multiple-choice and scenario-based questions, and candidates have two hours to complete it. Passing the exam requires a score of 75% or higher.
To become certified as a Professional Cloud Security Engineer, individuals must pass the Professional-Cloud-Security-Engineer exam, which is a comprehensive test of their knowledge and skills in the field of cloud security engineering. Professional-Cloud-Security-Engineer exam covers a wide range of topics, including security controls, data protection, compliance, and vulnerability management.
NEW QUESTION # 96
You are the Security Admin in your company. You want to synchronize all security groups that have an email address from your LDAP directory in Cloud IAM.
What should you do?
- A. Use a management tool to sync the subset based on the email address attribute. Create a group in the Google domain. A group created in a Google domain will automatically have an explicit Google Cloud Identity and Access Management (IAM) role.
- B. Configure Google Cloud Directory Sync to sync security groups using LDAP search rules that have "user email address" as the attribute to facilitate one-way sync.
- C. Use a management tool to sync the subset based on group object class attribute. Create a group in the Google domain. A group created in a Google domain will automatically have an explicit Google Cloud Identity and Access Management (IAM) role.
- D. Configure Google Cloud Directory Sync to sync security groups using LDAP search rules that have "user email address" as the attribute to facilitate bidirectional sync.
Answer: B
Explanation:
search rules that have "user email address" as the attribute to facilitate one-way sync. Reference Links: https://support.google.com/a/answer/6126589?hl=en
NEW QUESTION # 97
Your organization operates Virtual Machines (VMs) with only private IPs in the Virtual Private Cloud (VPC) with internet access through Cloud NAT Everyday, you must patch all VMs with critical OS updates and provide summary reports What should you do?
- A. Copy the latest patches to the Cloud Storage bucket. Log in to each VM. download the patches from the bucket, and install them.
- B. Assign public IPs to VMs. Validate that the egress firewall rules allow any outgoing traffic Log in to each VM. and configure a daily cron job to enable for OS updates at night during low activity periods.
- C. Ensure that VM Manager is installed and running on the VMs. In the OS patch management service.
configure the patch jobs to update with critical patches daily. - D. Validate that the egress firewall rules allow any outgoing traffic Log in to each VM and execute OS specific update commands Configure the Cloud Scheduler job to update with critical patches daily for daily updates.
Answer: C
Explanation:
VM Manager is a suite of tools that can be used to manage operating systems for large virtual machine (VM) fleets running Windows and Linux on Compute Engine. It helps drive efficiency through automation and reduces the operational burden of maintaining these VM fleets. VM Manager includes several services such as OS patch management, OS inventory management, and OS configuration management. By using VM Manager, you can apply patches, collect operating system information, and install, remove, or auto-update software packages. The suite provides a high level of control and automation for managing large VM fleets on Google Cloud.
https://cloud.google.com/compute/docs/vm-manager
NEW QUESTION # 98
Applications often require access to "secrets" -small pieces of sensitive data at build or run time.
The administrator managing these secrets on GCP wants to keep a track of "who did what, where, and when?" within their GCP projects.
Which two log streams would provide the information that the administrator is looking for?
(Choose two.)
- A. Admin Activity logs
- B. Data Access logs
- C. Agent logs
- D. VPC Flow logs
- E. System Event logs
Answer: A,B
Explanation:
https://cloud.google.com/secret-manager/docs/audit-logging
NEW QUESTION # 99
Your company is deploying a large number of containerized applications to GKE The existing CI/CD pipeline uses Cloud Build to construct container images, transfers the images to Artifact Registry, and then deploys the images to GKE You need to ensure that only images that have passed vulnerability scanning and meet specific corporate policies are allowed to be deployed The process needs to be automated and integrated into the existing CI/CD pipeline What should you do?
- A. Configure GKE to use only images from a specific, trusted Artifact Registry repository Manually inspect all images before pushing them to this repository
- B. Configure a policy in Binary Authorization to use Artifact Analysis vulnerability scanning to only allow images that pass the scan to deploy to your GKE clusters
- C. Enable Artifact Analysis vulnerability scanning and regularly scan images in Artifact Registry Remove any images that do not meet the vulnerability requirements before deployment
- D. Implement a custom script in the Cloud Build pipeline that uses a third-party vulnerability scanning tool Fail the build if vulnerabilities are found
Answer: B
Explanation:
The problem requires ensuring that only images that have passed vulnerability scanning and meet corporate policies are allowed to be deployed to GKE, with the process being automated and integrated into the existing CI/CD pipeline Binary Authorization: This Google Cloud service is purpose-built to enforce deployment policies on images before they are run on Google Kubernetes Engine (GKE), Cloud Run, and other deployable platforms It acts as a policy gate that prevents the deployment of non-compliant images Extract Reference: "Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE), Cloud Run, and Anthos clusters" and "With Binary Authorization, you can require images to be signed by trusted authorities and enforce validation policies during deployment" (Google Cloud Documentation: "Binary Authorization overview" - https://cloudgooglecom/binary-authorization/docs/overview) Artifact Analysis (part of Container Analysis): Artifact Analysis (which includes Container Analysis) provides vulnerability scanning capabilities for container images stored in Artifact Registry It generates findings and metadata about vulnerabilities Extract Reference: "Container Analysis is a service that scans your images for known vulnerabilities and provides metadata about them" (Google Cloud Documentation: "Overview | Container Analysis" - https://cloudgooglecom/container-analysis/docs/overview) Binary Authorization can be configured to integrate with Artifact Analysis (or other attestors) to check for vulnerability scan results as part of its deployment policy Integration and Automation: Binary Authorization policies can require attestations before deployment An attestation confirms that an image meets specific criteria (eg, it has passed a vulnerability scan, it was signed by an approved CI/CD process, it adheres to corporate policies) Cloud Build can be configured to generate these attestations after a successful vulnerability scan (using Artifact Analysis) This fully automates the process and integrates directly into the CI/CD pipeline Extract Reference: "With Binary Authorization, you create a policy that enforces your requirements The policy defines rules that govern deployment For example, a policy can require all images to be signed by a trusted authority before deployment" (Google Cloud Documentation: "Binary Authorization overview" - https://cloudgooglecom/binary-authorization/docs/overview) Let's evaluate the other options:
A Custom script in Cloud Build Fail the build: While scanning during the build is good practice (shift-left security), failing the build only prevents the image from being pushed It doesn't prevent a developer or an automated process from manually deploying an old or non-compliant image that might already exist in Artifact Registry, or from bypassing the build system The enforcement needs to happen at deployment time B Configure GKE to use only images from a specific trusted Artifact Registry repository Manually inspect all images: Manually inspecting images is not automated and does not scale for a "large number of containerized applications" It also doesn't programmatically enforce vulnerability scan results or corporate policies D Enable Artifact Analysis vulnerability scanning and regularly scan images Remove any images that do not meet before deployment: This describes scanning and remediation, which are important However, it's a reactive approach ("remove any images") rather than a proactive enforcement ("only images that are allowed to be deployed") There's still a window where a non-compliant image could be deployed before it's removed Binary Authorization is the enforcement gate Therefore, configuring Binary Authorization with a policy that integrates with Artifact Analysis (or requires attestations based on its findings) is the most robust, automated, and Google-recommended solution for enforcing deployment policies based on vulnerability scanning and corporate compliance
NEW QUESTION # 100
You are a Security Administrator at your organization. You need to restrict service account creation capability within production environments. You want to accomplish this centrally across the organization. What should you do?
- A. Use organization policy constraints/iam.disableServiceAccountKeyUpload boolean to disable the creation of new service accounts.
- B. Use organization policy constraints/iam.disableServiceAccountCreation boolean to disable the creation of new service accounts.
- C. Use organization policy constraints/iam.disableServiceAccountKeyCreation boolean to disable the creation of new service accounts.
- D. Use Identity and Access Management (IAM) to restrict access of all users and service accounts that have access to the production environment.
Answer: B
Explanation:
You can use the iam.disableServiceAccountCreation boolean constraint to disable the creation of new service accounts. This allows you to centralize management of service accounts while not restricting the other permissions your developers have on projects.
https://cloud.google.com/resource-manager/docs/organization-policy/restricting-service- accounts#disable_service_account_creation
NEW QUESTION # 101
Your organization is migrating its primary web application from on-premises to Google Kubernetes Engine (GKE). You must advise the development team on how to grant their applications access to Google Cloud services from within GKE according to security recommended practices. What should you do?
- A. Configure the GKE nodes to use the default Compute Engine service account.
- B. Enable Workload Identity for GKE. Assign a Kubernetes service account to the application and configure that Kubernetes service account to act as an Identity and Access Management (IAM) service account. Grant the required roles to the IAM service account.
- C. Create an application-specific IAM service account and generate a user-managed service account key for it. Inject the key to the workload by storing it as a Kubernetes secret within the same namespace as the application.
- D. Create a user-managed service account with only the roles required for the specific workload. Assign this service account to the GKE nodes.
Answer: B
Explanation:
Workload Identity is the Google-recommended method for GKE workloads to access Google Cloud services.
It eliminates the need for manual management of service account keys (JSON files), which are a major security risk if leaked.1 According to Google Cloud Documentation (Workload Identity Federation for GKE):
"Workload Identity is the recommended way for your workloads running on GKE to access Google Cloud services in a secure and manageable way. It allows a Kubernetes service account in your GKE cluster to act as a Google IAM service account.2 When you use Workload Identity, you don't need to manage service account keys or store them as Kubernetes secrets." Why other options are incorrect:
* A is incorrect: Service account keys are long-lived and difficult to rotate. Using them increases the risk of credential theft.
* C & D are incorrect: Attaching a service account to a Node gives every pod running on that node the same permissions. This violates the Principle of Least Privilege because different workloads on the same node should have different permissions.
Reference:
Google Cloud Documentation: "Workload Identity Federation for GKE" (https://cloud.google.com
/kubernetes-engine/docs/how-to/workload-identity).
Google Cloud Security Engineer Study Guide: Chapter on "Managing Identities and Access - GKE Security."
NEW QUESTION # 102
You are responsible for implementing a payment processing environment that will use Kubernetes and need to apply proper security controls. What should you do?
- A. Activate a firewall to prevent all egress traffic.
- B. Establish minimum password length requirements for all systems.
- C. Implement and enforce two-factor authentication.
- D. Require file integrity monitoring and antivirus scans of pods and nodes.
Answer: D
Explanation:
A. Is not correct because this solution is not specific to Kubernetes.
B. Is not correct because this would render the environment non-functional.
C. Is not correct because this solution is not specific to Kubernetes.
D. Is correct because this is a requirement of PCI DSS in Sections 5 and 11.
NEW QUESTION # 103
You are the security admin of your company. You have 3,000 objects in your Cloud Storage bucket. You do not want to manage access to each object individually. You also do not want the uploader of an object to always have full control of the object. However, you want to use Cloud Audit Logs to manage access to your bucket.
What should you do?
- A. Set up an ACL with READER permission to a scope of allUsers.
- B. Set up an ACL with OWNER permission to a scope of allUsers.
- C. Set up Uniform bucket-level access on the Cloud Storage bucket and manage access for users using IAM.
- D. Set up a default bucket ACL and manage access for users using IAM.
Answer: C
Explanation:
Uniform bucket-level access allows you to manage permissions at the bucket level, rather than at the object level. This simplifies permission management and ensures that access to objects is controlled consistently via IAM roles, without allowing uploaders full control over the objects.
Steps:
Enable Uniform Bucket-Level Access: In the Google Cloud Console, enable uniform bucket-level access for the Cloud Storage bucket.
Configure IAM Policies: Assign appropriate IAM roles to users and groups to control access to the bucket.
Audit Logging: Enable Cloud Audit Logs to track access and modifications to the bucket.
Reference:
Google Cloud: Uniform bucket-level access
Managing access with IAM
NEW QUESTION # 104
Your company is concerned about unauthorized parties gaming access to the Google Cloud environment by using a fake login page. You must implement a solution to protect against person-in-the-middle attacks.
Which security measure should you use?
- A. Text message or phone call code
- B. Google prompt
- C. Security key
- D. Google Authenticator application
Answer: C
Explanation:
A security key is a physical device that you can use for two-step verification, providing an additional layer of security for your Google Account. Security keys can defend against phishing and man-in-the-middle attacks, making your login process more secure.
NEW QUESTION # 105
You perform a security assessment on a customer architecture and discover that multiple VMs have public IP addresses. After providing a recommendation to remove the public IP addresses, you are told those VMs need to communicate to external sites as part of the customer's typical operations. What should you recommend to reduce the need for public IP addresses in your customer's VMs?
- A. Google Cloud Armor
- B. Cloud NAT
- C. Cloud Router
- D. Cloud VPN
Answer: B
Explanation:
https://cloud.google.com/nat/docs/overview
NEW QUESTION # 106
A patch for a vulnerability has been released, and a DevOps team needs to update their running containers in Google Kubernetes Engine (GKE).
How should the DevOps team accomplish this?
- A. Verify that auto upgrade is enabled; if so, Google will upgrade the nodes in a GKE cluster.
- B. Use Puppet or Chef to push out the patch to the running container.
- C. Update the application code or apply a patch, build a new image, and redeploy it.
- D. Configure containers to automatically upgrade when the base image is available in Container Registry.
Answer: C
Explanation:
Explanation
https://cloud.google.com/containers/security
Containers are meant to be immutable, so you deploy a new image in order to make changes. You can simplify patch management by rebuilding your images regularly, so the patch is picked up the next time a container is deployed. Get the full picture of your environment with regular image security reviews.
NEW QUESTION # 107
When working with agents in a support center via online chat, an organization's customers often share pictures of their documents with personally identifiable information (PII). The organization that owns the support center is concerned that the PII is being stored in their databases as part of the regular chat logs they retain for review by internal or external analysts for customer service trend analysis.
Which Google Cloud solution should the organization use to help resolve this concern for the customer while still maintaining data utility?
- A. Use Cloud Key Management Service (KMS) to encrypt the PII data shared by customers before storing it for analysis.
- B. Use the generalization and bucketing actions of the DLP API solution to redact PII from the texts before storing them for analysis.
- C. Use Object Lifecycle Management to make sure that all chat records with PII in them are discarded and not saved for analysis.
- D. Use the image inspection and redaction actions of the DLP API to redact PII from the images before storing them for analysis.
Answer: B
Explanation:
Reference:
https://cloud.google.com/dlp/docs/deidentify-sensitive-data
NEW QUESTION # 108
You are on your company's development team. You noticed that your web application hosted in staging on GKE dynamically includes user data in web pages without first properly validating the inputted data. This could allow an attacker to execute gibberish commands and display arbitrary content in a victim user's browser in a production environment.
How should you prevent and fix this vulnerability?
- A. Use Web Security Scanner in staging to simulate an XSS injection attack, and then use a templating system that supports contextual auto-escaping.
- B. Use Web Security Scanner to validate the usage of an outdated library in the code, and then use a secured version of the included library.
- C. Use Cloud IAP based on IP address or end-user device attributes to prevent and fix the vulnerability.
- D. Set up an HTTPS load balancer, and then use Cloud Armor for the production environment to prevent the potential XSS attack.
Answer: A
Explanation:
There is mention about simulating in Web Security Scanner. "Web Security Scanner cross-site scripting (XSS) injection testing *simulates* an injection attack by inserting a benign test string into user-editable fields and then performing various user actions." https://cloud.google.com/security-command-center/docs
/how-to-remediate-web-security-scanner-findings#xss
Reference: https://cloud.google.com/security-scanner/docs/remediate-findings
NEW QUESTION # 109
You are managing a set of Google Cloud projects that are contained in a folder named Data Warehouse A new data analysis team has been approved to perform data analysis for all BigQuery data in the projects within the Data Warehouse folder. They should only be able to read the data and not have permissions to modify or delete the data. You want to reduce the operational overhead of provisioning access while adhering to the principle of least privilege. What should you do?
- A. Grant the BigQuery Data Viewer role at the project level for each project within the Data Warehouse folder.
- B. Grant the BigQuery Metadata Viewer role at the Data Warehouse folder
- C. Grant the BigQuery Data Viewer role at the dataset level for each BigQuery dataset within each project in the Data Warehouse folder
- D. Grant the BigQuery Data Viewer role at the Data Warehouse folder.
Answer: D
Explanation:
The requirements are met by granting access at the highest point in the resource hierarchy that encompasses all the necessary resources, using the least privileged role required.
Least Privilege Role: The team needs to read data and not modify or delete it. The roles/bigquery.dataViewer role is the correct least privileged role for read-only access to data.
Minimize Operational Overhead: Granting the role at the Folder level ensures that the access is automatically inherited by all current and future projects within that folder, drastically reducing the operational overhead compared to granting the role per project (C) or per dataset (A).
Scope: The Folder scope (Data Warehouse folder) is the container for all BigQuery data in the projects within the folder, making it the ideal single point of granting access.
Extracts:
"IAM roles are inherited down the resource hierarchy... Granting a role at the folder level will grant the principal that role across all projects within that folder, including any projects created in the future." (Source
10.1)
"The BigQuery Data Viewer (roles/bigquery.dataViewer) role grants permission to read data in BigQuery tables and views... It does not grant permissions to modify or delete the data, adhering to the principle of least privilege for read-only tasks." (Source 10.2)
NEW QUESTION # 110
Your team needs to configure their Google Cloud Platform (GCP) environment so they can centralize the control over networking resources like firewall rules, subnets, and routes. They also have an on-premises environment where resources need access back to the GCP resources through a private VPN connection. The networking resources will need to be controlled by the network security team.
Which type of networking design should your team use to meet these requirements?
- A. VPC peering between all engineering projects using a hub and spoke model
- B. Grant Compute Admin role to the networking team for each engineering project
- C. Shared VPC Network with a host project and service projects
- D. Cloud VPN Gateway between all engineering projects using a hub and spoke model
Answer: C
Explanation:
Reference: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#centralize_network_control Use Shared VPC to connect to a common VPC network. Resources in those projects can communicate with each other securely and efficiently across project boundaries using internal IPs. You can manage shared network resources, such as subnets, routes, and firewalls, from a central host project, enabling you to apply and enforce consistent network policies across the projects.
NEW QUESTION # 111
You are troubleshooting access denied errors between Compute Engine instances connected to a Shared VPC and BigQuery datasets. The datasets reside in a project protected by a VPC Service Controls perimeter. What should you do?
- A. Create a perimeter bridge between the service project where the Compute Engine instances reside and the perimeter that contains the protected BigQuery datasets.
- B. Add the service project where the Compute Engine instances reside to the service perimeter.
- C. Add the host project containing the Shared VPC to the service perimeter.
- D. Create a service perimeter between the service project where the Compute Engine instances reside and the host project that contains the Shared VPC.
Answer: D
NEW QUESTION # 112
You are managing a Google Cloud environment that is organized into folders that represent different teams. These teams need the flexibility to modify organization policies relevant to their work. You want to grant the teams the necessary permissions while upholding Google- recommended security practices and minimizing administrative complexity. What should you do?
- A. Create a custom IAM role with the organization policy administrator permission and grant the permission to each team's folder. Limit policy modifications based on folder names within the custom role's definition.
- B. Create an organization-level tag. Attach the tag to relevant folders. Use an IAM condition to restrict the organization policy administrator role to resources with that tag.
- C. Assign the organization policy administrator role to a central service account and provide teams with the credentials to use the service account when needed.
- D. Grant each team the organization policy administrator role at the organization level.
Answer: B
Explanation:
Granular Control: Creating an organization-level tag allows you to precisely control which teams have access to modify organization policies by attaching the tag to relevant folders. This ensures that only authorized teams can make changes.
IAM Condition: Using an IAM condition to restrict the organization policy administrator role to resources with the tag provides a flexible and efficient way to grant permissions while maintaining control. This ensures that the role is only accessible for the intended teams.
Security Best Practices: This approach aligns with Google-recommended security practices by limiting access to organization policies to authorized teams and using IAM conditions to enforce appropriate controls.
Administrative Efficiency: This approach simplifies administration by providing a centralized mechanism for managing permissions and ensuring that only authorized teams can modify organization policies.
NEW QUESTION # 113
An organization is working on their GDPR compliance strategy. It wants to ensure that controls are in place to ensure that customer PII is stored in Cloud Storage buckets without third-party exposure. Which Google Cloud solution should the organization use to verify that PII is stored in the correct place without exposing PII internally?
- A. Cloud Storage Bucket Lock
- B. Cloud Data Loss Prevention API
- C. VPC Service Controls
- D. Cloud Security Scanner
Answer: B
Explanation:
A is not correct because Bucket Lock feature is for protecting the data retention policy and doesn't address the use case.
B is correct because Cloud Data Loss Prevention API can be used to inspect Cloud Storage buckets for PII.
C is not correct because while VPC Service Controls can allow customers to define security perimeters around Cloud Storage Buckets in order to mitigate data exfiltration risks, it's not a tool to locate PIIs hence doesn't address this use case.
D is not correct because Cloud Security Scanner is a web security scanner for App Engine, Compute Engine, and Google Kubernetes Engine applications and doesn't address the use case.
https://cloud.google.com/storage/docs/bucket-lock
https://cloud.google.com/dlp/docs/inspecting-storage#inspecting-gcs
https://cloud.google.com/vpc-service-controls/
https://cloud.google.com/security-scanner/
NEW QUESTION # 114
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