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Google Professional-Cloud-Architect Exam is a certification offered by Google for those who want to become a Google Certified Professional - Cloud Architect (GCP). Professional-Cloud-Architect exam is designed to test the knowledge and skills of individuals who are responsible for designing, developing, and managing solutions using the Google Cloud Platform (GCP).

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To become a Google Professional-Cloud-Architect, candidates must pass a 2-hour exam that consists of multiple-choice and scenario-based questions. Professional-Cloud-Architect Exam is conducted online, and candidates can take it from anywhere in the world. Google Certified Professional - Cloud Architect (GCP) certification is valid for two years, after which candidates must retake the exam to maintain their certification.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q239-Q244):

NEW QUESTION # 239
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?

A. Cloud Spanner, because it is globally distributed
B. BigQuery, because it is designed for large-scale processing of tabular data
C. Cloud SQL, because it is a fully managed relational database
D. Cloud Firestore, because it offers real-time synchronization across devices

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/files/BigQueryTechnicalWP.pdf

NEW QUESTION # 240
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

A. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
B. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
C. Create an instance template from the existing disk. Create a custom image from the instance template.
Create an autoscaled managed instance group from the custom image.
D. Create a custom image from the existing disk. Create an instance template from the custom image.
Create an autoscaled managed instance group from the instance template.

Answer: D

NEW QUESTION # 241
Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?

A. Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.
B. Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.
C. Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.
D. Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.

Answer: B

Explanation:
Reference:
https://cloud.google.com/solutions/building-a-serverless-ml-model

NEW QUESTION # 242
You have developed a non-critical update to your application that is running in a managed instance group, and have created a new instance template with the update that you want to release. To prevent any possible impact to the application, you don't want to update any running instances. You want any new instances that are created by the managed instance group to contain the new update. What should you do?

A. Start a new rolling update. Select the Opportunistic update mode.
B. Start a new rolling replace operation.
C. Start a new rolling update. Select the Proactive update mode.
D. Start a new rolling restart operation.

Answer: C

NEW QUESTION # 243
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

A. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
B. Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.
C. Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.
D. Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Answer: B

Explanation:
Deployment Manager is used to automate the process of provisioning infrastructure. Therefore, gcloud and Deployment Manager do the same thing. Meanwhile, kubectl is used to run commands against an already created cluster.

NEW QUESTION # 244
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