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Google Professional-Cloud-Architect certification is highly valued in the industry as it demonstrates the candidate's expertise in designing and deploying cloud solutions using GCP. Google Certified Professional - Cloud Architect (GCP) certification also validates the candidate's ability to work with GCP's advanced services and technologies such as BigQuery, Cloud SQL, and Cloud Spanner. Google Certified Professional - Cloud Architect (GCP) certification is recognized globally and can help individuals advance in their careers by opening up new job opportunities and higher salaries.
Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Certification Exam is designed to test the skills and knowledge of cloud architects who work with Google Cloud Platform. It is a globally recognized certification and is highly valued in the industry. Google Certified Professional - Cloud Architect (GCP) certification exam is intended for professionals who have experience in designing and implementing cloud solutions, and who are interested in advancing their careers in cloud architecture.
Google Professional-Cloud-Architect Certification Exam is designed to validate the skills and knowledge required for individuals to design, develop, and manage secure, scalable, and reliable cloud solutions using Google Cloud Platform. It is an advanced-level certification that demonstrates the ability to provide cloud architecture and design solutions to meet business and technical requirements.
Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q261-Q266):
NEW QUESTION # 261
An application development team has come to you for advice.They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. What approach should you recommend?
- A. Use a Managed Instance Group when deploying to Compute Engine
- B. Develop an application with containers, and deploy to Google Kubernetes Engine (GKE)
- C. Develop the application for App Engine Flexible environment using a custom runtime
- D. Develop the application for App Engine standard environment
Answer: D
Explanation:
Explanation
https://cloud.google.com/appengine/docs/the-appengine-environments
NEW QUESTION # 262
You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud.
You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?
- A. Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application.
Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console - B. Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.
- C. Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.
- D. Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.
Answer: A
Explanation:
Explanation
Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
https://cloud.google.com/migrate/compute-engine/docs/4.9/concepts/planning-a-migration/cloud-instance-rightsi
NEW QUESTION # 263
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
- A. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
- B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
- C. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months.
For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months. - D. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
Answer: D
NEW QUESTION # 264 
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The
infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? Choose 3 answers.
- A. A single VPN tunnel, which limits throughput
- B. Fewer virtual machines (VMs) in GCP than on-premises machines
- C. Complicated internet connectivity between the on-premises infrastructure and GCP
- D. A tier of Google Cloud Storage that is not suited for this task
- E. A separate storage layer outside the VMs, which is not suited for this task
- F. A copy command that is not suited to operate over long distances
Answer: A,E,F
NEW QUESTION # 265
Your organization wants to control IAM policies for different departments independently, but centrally.
Which approach should you take?
- A. A single Organization with multiple projects, each with a central owner
- B. Multiple Organizations with multiple Folders
- C. Multiple Organizations, one for each department
- D. A single Organization with Folder for each department
Answer: D
Explanation:
Folders are nodes in the Cloud Platform Resource Hierarchy. A folder can contain projects, other folders, or a combination of both. You can use folders to group projects under an organization in a hierarchy. For example, your organization might contain multiple departments, each with its own set of GCP resources. Folders allow you to group these resources on a per-department basis. Folders are used to group resources that share common IAM policies. While a folder can contain multiple folders or resources, a given folder or resource can have exactly one parent.
NEW QUESTION # 266
......
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