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To become a Google Certified Professional - Cloud Architect (GCP), candidates must pass a rigorous exam that covers a broad range of topics related to cloud architecture, including designing and planning a cloud solution architecture, managing and provisioning a solution infrastructure, optimizing and securing a solution, and analyzing and optimizing technical and business processes. Professional-Cloud-Architect Exam is designed to assess the candidate's knowledge and skills across all these areas, and it requires a deep understanding of the Google Cloud Platform and its various services.

Introduction to Google Professional Cloud Architect Exam

Google Professional Cloud Architect Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud Architect in the IT industry.

After passing this exam, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud Architect to their clients and employers.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q227-Q232):

NEW QUESTION # 227
For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

A. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
B. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
C. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
D. BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.

Answer: B

Explanation:
References: https://cloud.google.com/storage/docs/storage-classes

NEW QUESTION # 228
You are managing several projects on Google Cloud and need to interact on a daily basis with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool You are travelling a lot and work on different workstations during the week You want to avoid having to manage the gcloud CLI manually What should you do?

A. Use a package manager to install gcloud on your workstations instead of installing it manually
B. Install gcloud on all of your workstations Run the command gcloud components auto-update on each workstation
C. Create a Compute Engine instance and install gcloud on the instance Connect to this instance via SSH to always use the same gcloud installation when interacting with Google Cloud
D. Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud

Answer: D

Explanation:
This option allows you to use the gcloud CLI tool without having to install or manage it manually on different workstations. Google Cloud Shell is a browser-based command-line tool that provides you with a temporary Compute Engine virtual machine instance preloaded with the Cloud SDK, including the gcloud CLI tool. You can access Google Cloud Shell from any web browser and use it to interact with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool. The other options are not optimal for this scenario, because they either require installing and updating the gcloud CLI tool on multiple workstations (A, C), or creating and maintaining a Compute Engine instance for the sole purpose of using the gcloud CLI tool (B). Reference:
https://cloud.google.com/shell/docs/overview
https://cloud.google.com/sdk/gcloud/

NEW QUESTION # 229
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

A. Tests should scale well beyond the prior approaches.
B. Unit tests are no longer required, only end-to-end tests.
C. Tests should be applied after the release is in the production environment.
D. Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.

Answer: A

Explanation:
Explanation
From Scenario:
A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Requirements for Game Analytics Platform include: Dynamically scale up or down based on game activity

NEW QUESTION # 230
You have deployed an application to Google Kubernetes Engine (GKE), and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post- mortem. What should you do?

A. In the GCP Console, navigate to Stackdriver Logging. Consult logs for (GKE) and Cloud SQL.
B. Use gcloud sql instances restart.
C. In the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubectlto restart all pods.
D. Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.

Answer: A

NEW QUESTION # 231
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

A. Select an automation framework to reliably provision the cloud infrastructure.
B. Port the application code to run on Google App Engine.
C. Deploy a continuous integration tool with automated testing in a staging environment.
D. Integrate Cloud Dataflow into the application to capture real-time metrics.
E. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.
F. Instrument the application with a monitoring tool like Stackdriver Debugger.

Answer: B,C,E

Explanation:
References:
https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql

NEW QUESTION # 232
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