Free Google Professional-Cloud-Security-Engineer Exam Questions

Question 1

Your Google Cloud environment has one organization node, one folder named Apps." and several projects within that folder The organizational node enforces the constraints/iam.allowedPolicyMemberDomains organization policy, which allowsmembers from the terramearth.com organization The "Apps" folder enforces the constraints/iam.allowedPolicyMemberDomains organization policy, which allows members from the flowlogistic.com organization. It also has the inheritFromParent: false property. You attempt to grant access to a project in the Apps folder to the user testuser@terramearth.com. What is the result of your action and why?

A : The action fails because a constraints/iam.allowedPolicyMemberDomains organization policy must be defined on the current project to deactivate the constraint temporarily

B : The action fails because a constraints/iam.allowedPolicyMemberDomains organization policy is in place and only members from the flowlogistic.com organization are allowed

C : The action succeeds because members from both organizations, terramearth. com or flowlogistic.com, are allowed on projects in the "Apps" folder

D : The action succeeds and the new member is successfully added to the project's Identity and Access Management (1AM) policy because all policies are inherited by underlying folders and projects.

Answer: B

Question 2

A patch for a vulnerability has been released and a DevOps team in a healthcare technology company needs to update their running containers in Google Kubernetes Engine (GKE). What steps should the DevOps team take to accomplish this task?

A : Confirm whether auto-upgrade is turned on; if enabled, Google will handle node upgrades within a GKE cluster.

B : Set up the containers to automatically upgrade when the base image becomes available in the Container Registry.

C : Apply a patch or update the application code, construct a new image, and deploy it again.

D : Utilize Puppet or Chef to deploy the necessary patch to the container that's currently running.

Answer: C

Question 3

Your organization relies heavily on virtual machines (VMs) in Compute Engine. Due to team growth andresource demands. VM sprawl is becoming problematic. Maintaining consistent security hardening and timelypackage updates poses an increasing challenge. You need to centralize VM image management and automatethe enforcement of security baselines throughout the virtual machine lifecycle. What should you do?

A : Activate Security Command Center Enterprise. Use VM discovery and posture management features tomonitor hardening state and trigger automatic responses upon detection of issues.B. Create a CloudBuild trigger to build a pipeline that generates hardened VM images. Run vulnerability scans in thepipeline, and store images with passing scans in a registry. Use instance templates pointing to thisregistry.

B : Configure the sole-tenancy feature in Compute Engine for all projects. Set up custom organization policies in Policy Controller to restrict the operating systems and image sources that teams are allowed to use.

C : Use VM Manager to automatically distribute and apply patches to VMs across your projects. IntegrateVM Manager with hardened. organization-standard VM images stored in a central repository.

Answer: B

Question 4

Your organization must comply with the regulation to keep instance logging data within Europe. Yourworkloads will be hosted in the Netherlands in region europe-west4 in a new project. You must configureCloud Logging to keep your data in the country.What should you do?

A : Configure the organization policy constraint gcp.resourceLocations to europe-west4.

B : Set the logging storage region to eurcpe-west4 by using the gcloud CLI logging settings update.

C : Create a new tog bucket in europe-west4. and redirect the _Def auit bucKet to the new bucket.

D : Configure log sink to export all logs into a Cloud Storage bucket in europe-west4.

Answer: D

Question 5

Your organization is building a real-time recommendation engine using ML models that process live user activity data stored in BigQuery and Cloud Storage. Each new model developed is saved to Artifact Registry. This new system deploys models to Google Kubernetes Engine and uses Pub/Sub for message queues. Recent industry news has been reporting attacks exploiting ML model supply chains. You need to enhance the security in this serverless architecture, specifically against risks to the development and deployment pipeline. What should you do?

A : Limit external libraries and dependencies that are used for the ML models as much as possible. Continuously rotate encryption keys that are used to access the user data from BigQuery and Cloud Storage.

B : Enable container image vulnerability scanning during development and pre-deployment. Enforce Binary Authorization on images deployed from Artifact Registry to your continuous integration and continuous deployment (CI/CD) pipeline.

C : Thoroughly sanitize all training data prior to model development to reduce risk of poisoning attacks. Use IAM for authorization, and apply role-based restrictions to code repositories and cloud services.

D : Develop strict firewall rules to limit external traffic to Cloud Run instances. Integrate intrusion detection systems (IDS) for real-time anomaly detection on Pub/Sub message flows.

Answer: B