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Google Professional-Cloud-Architect Exam Overview:

Certification Vendor:	Google
Exam Name:	Google Certified Professional - Cloud Architect
Exam Number:	Professional-Cloud-Architect
Exam Price:	$200 USD
Related Certifications:	Google Cloud Certified - Professional Cloud Architect
Exam Format:	Multiple Select, Multiple Choice
Passing Score:	Not publicly disclosed
Real Exam Qty:	50-60
Certificate Validity Period:	2 years
Available Languages:	English, Portuguese, Japanese, Indonesian, German, French, Spanish
Exam Duration:	120 minutes
Sample Questions:	Google Professional-Cloud-Architect Sample Questions
Exam Way:	Online (proctored) or at a test center
Pre Condition:	No mandatory prerequisite, but recommended to have 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-architect

>> Professional-Cloud-Architect対応内容 <<

高パスレートProfessional-Cloud-Architect対応内容 & 資格試験のリーダー & 現実的Google Google Certified Professional - Cloud Architect (GCP)

MogiExamは、特にProfessional-Cloud-Architect認定試験でこの分野の質が高いことで有名です。試験のためにProfessional-Cloud-Architect学習教材を実践している数千人の受験者に受け入れられています。この主要な環境では、人々はより多くの仕事のプレッシャーに直面しています。そこで彼らは、Professional-Cloud-Architect認定を一般の群れよりも高くしたいと考えています。有効で効率的なガイドトレントを選択する方法は、ほとんどの候補者が懸念する重要なトピックです。また、Professional-Cloud-Architect試験の質問で、問題なくProfessional-Cloud-Architect試験に合格します。

Google Professional-Cloud-Architect試験は、Google Cloudプラットフォームでソリューションの設計、開発、管理の専門知識を実証したい専門家の認定です。クラウドアーキテクチャの経験があり、スキルセットの拡大を検討している個人向けに設計されています。試験では、GCPのソリューションを設計および管理する能力と、クラウドアーキテクチャの原則の理解について候補者をテストします。

Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q153-Q158):

質問 # 153
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location, its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US, Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles.
You want to run this job on all the data.
What is the most cost-effective way to run this job?

A. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the job
B. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job
C. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi- region bucket and use a Dataproc cluster to finish the job
D. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job

正解：A

質問 # 154
For this question, refer to the TerramEarth case study.
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the field will have a catastrophic failure. You want to allow analysts to centrally query the vehicle data. Which architecture should you recommend?

A. Option A
B. Option B
C. Option D
D. Option C

正解：A

解説：
Explanation: https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for- analyzing-connected-car-data
https://cloud.google.com/solutions/iot/

質問 # 155
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings.
Which approach should you use?

A. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage
B. Configure Stackdriver Monitoring for all Projects, and export to BigQuery
C. Grant the security team access to the logs in each Project
D. Configure Stackdriver Monitoring for all Projects with the default retention policies

正解：B

解説：
Explanation/Reference:
Explanation:
Stackdriver Logging provides you with the ability to filter, search, and view logs from your cloud and open source application services. Allows you to define metrics based on log contents that are incorporated into dashboards and alerts. Enables you to export logs to BigQuery, Google Cloud Storage, and Pub/Sub.
Reference: https://cloud.google.com/stackdriver/

質問 # 156
You are creating a migration plan to move your organization's infrastructure from on-premises to Google Cloud. You want to understand and manage costs effectively after the migration is complete. Which strategies should you include in the migration plan? (Choose two.)

A. Create a Cloud Scheduler job to export billing data to Cloud SQL.
B. Create service alerts using Cloud Monitoring.
C. Adopt infrastructure as code (IaC) for the cloud resources.
D. Enable Backup and DR Service.
E. Configure labels and tags for the resources provisioned in Google Cloud.

正解：B、E

解説：
Configuring labels and tags enables detailed cost allocation and tracking across projects, departments, or applications, helping manage and optimize spending.
Creating service alerts in Cloud Monitoring allows proactive cost and performance management by detecting unusual usage patterns or budget threshold breaches, supporting ongoing cost control after migration.

質問 # 157
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 kubect1 to create a Kubernetes cluster. Use kubect1 to create the deployment.
B. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
C. Use kubect1 to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
D. Use gcloud to create a Kubernetes cluster. Use kubect1 to create the deployment.

正解：D

解説：
Reference:
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster

質問 # 158
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