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Google Professional-Cloud-Architect Certification Exam is designed for professionals who want to validate their skills and knowledge in designing and managing cloud solutions on Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is ideal for cloud architects, developers, and engineers who want to demonstrate their expertise in cloud architecture and design principles. Professional-Cloud-Architect exam is intended to assess the candidate's ability to design, develop, and manage secure, scalable, and highly available cloud solutions using GCP services.

Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

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The Google Professional-Cloud-Architect Exam consists of multiple-choice and multiple-select questions that cover a wide range of topics, including cloud computing architecture, infrastructure design, data storage and management, security, compliance, and pricing. To pass the exam, candidates must demonstrate a deep understanding of these topics and be able to apply their knowledge to real-world scenarios. Successful completion of the exam not only demonstrates the candidate's proficiency in designing and implementing cloud solutions on Google Cloud, but also enhances their credibility as a cloud architect and opens up new career opportunities.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q230-Q235):

NEW QUESTION # 230
You need to design a solution for global load balancing based on the URL path being requested. You need to ensure operations reliability and end-to-end in-transit encryption based on Google best practices.
What should you do?

A. Create appropriate instance groups and instances. Configure SSL proxy load balancing.
B. Create an HTTPS load balancer with URL maps.
C. Create a global forwarding rule. Configure SSL proxy balancing.
D. Create a cross-region load balancer with URL Maps.

Answer: B

Explanation:
Reference:
Reference https://cloud.google.com/load-balancing/docs/https/url-map

NEW QUESTION # 231
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources. What Google domain and project structure should you recommend?

A. Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.
B. Create a single G Suite account to manage users with each stage of each application in its own project.
C. Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.
D. Create two G Suite accounts to manage users: one for development/test/staging and one for production. Each account should contain one project for every application.

Answer: D

NEW QUESTION # 232
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 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.
B. 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.
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. 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.

Answer: D

Explanation:
Connecting the repository using the Cloud Build GitHub app and using a Cloud Build trigger provides an automated, secure CI/CD path without storing long-lived credentials in the repo.
Cloud Build can build the container and deploy directly to Cloud Run using Google-recommended identity-based authentication and managed integrations when a merge event occurs.

NEW QUESTION # 233
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 regular Compute Engine instances for the production environment, and use preemptible VMs for the acceptance and development environments.
C. 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.
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.

Answer: B

Explanation:
Reference: https://cloud.google.com/blog/products/it-ops/best-practices-for-optimizing-your-cloud-costs

NEW QUESTION # 234
Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company dat a. What should you do?

A. Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.
B. Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
C. Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.
D. Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your

Answer: A

Explanation:
data.
Explanation:
https://cloud.google.com/dataprep/

NEW QUESTION # 235
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