Designing for Compliance and Security
- Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).
- Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;
Reference: https://cloud.google.com/certification/cloud-architect
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Managing Implementation
- Interact with Google Cloud with the use of GCP SDK: this requires the test takers’ understanding of Google Cloud Shell and local installation.
- Advice development and operation team to ensure the successful deployment of solutions: the areas of focus include application development; AIP best practices; data and system migration tool; testing framework;
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How much Google Professional Cloud Architect Exam cost
Google Professional Cloud Architect exam cost is $200 USD
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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing implementation | 12.5% | - Using Google Cloud tools and APIs programmatically
|
| Designing for security and compliance | 17.5% | - Implementing identity and access management
|
| Designing and planning a cloud solution architecture | 25% | - Evaluating and selecting Google Cloud services
|
| Ensuring solution and operations excellence | 12.5% | - Applying Well-Architected Framework principles
|
| Analyzing and optimizing technical and business processes | 15% | - Optimizing cost and resource efficiency
|
| Managing and provisioning solution infrastructure | 15% | - Provisioning and managing compute resources
|
Google Certified Professional - Cloud Architect (GCP) Sample Questions:
You are deploying a critical application with a stateless, containerized (rented on Cloud Run and a Cloud SQL tor PostgreSQL backend The application experiences unpredictable traffic spikes, and the business requires the ability to immediately roll back a failed deployment to the last known good state You need to apply a deployment strategy that aligns with Site Reliability Engineering (SRE) principles for both the application code and the database schema updates, while meeting the business ' s requirements What should you do?
- A. Configure the CI/CD pipeline to use the: latest Last container tag for deployments, with database schema changes applied manually as needed.
- B. Use a single CI/CD pipeline that first applies database schema changes and then deploys the new Cloud Run revision
- C. Package the database schema migration script within the container to be executed on every container startup before the application process begins.
- D. Separate CI/CD pipelines for database schema migrations from application deployments When deploying a new Cloud Run revision, use gradual traffic split.
Correct Answer: D 🗳️
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Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours.
Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?
- A. Deploy the development and acceptance applications on a managed instance group and enable autoscaling.
- B. Use Cloud Scheduler to trigger a Cloud Function that will stop the development and acceptance environments after office hours and start them just before office hours.
- C. Use regular Compute Engine instances for the production environment, and use preemptible VMs for the acceptance and development environments.
- D. Create a shell script that uses the gcloud command to change the machine type of the development and acceptance instances to a smaller machine type outside of office hours. Schedule the shell script on one of the production instances to automate the task.
Correct Answer: B 🗳️
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You are using a GitHub repository for your application s source code. You want to set up an efficient and secure continuous deployment process to automatically build and deploy the application to Cloud Run whenever a pull request is merged What should you do?
- A. Create a workflow using GitHub Actions to build and deploy the application to Cloud Run once a pull request is merged. The workflow will use a service account key checked in with your source code for deployment permission
- B. Connect your repository using the Cloud Build GitHub app. Create a trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build and deploy the application to Cloud Run.
- C. Create a GitHub webhook trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build a container image and save it In Artifact Registry Use Config Sync to deploy the application to Cloud Run
- D. Create a GitHub Enterprise trigger in Cloud Build Once a pull request is merged, trigger Cloud Build to build and deploy the application to Cloud Run. Save the deployment credential to Secret Manager
Correct Answer: B 🗳️
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You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?
- A. Enable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics
- B. Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)
- C. Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold
- D. Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster
Correct Answer: B 🗳️
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You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address.
You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly. What should you do?
- A. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
- B. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
- C. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
- D. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
Correct Answer: D 🗳️
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