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QUESTION NO: 1
You need to develop procedures to verify resilience of disaster recovery for remote recovery using GCP. Your production environment is hosted on-premises. You need to establish a secure, redundant connection between your on premises network and the GCP network.
What should you do?
A. Verify that Dedicated Interconnect can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if Dedicated Interconnect fails.
B. Verify that Dedicated Interconnect can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if Dedicated Interconnect fails.
C. Verify that the Transfer Appliance can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if the Transfer Appliance fails.
D. Verify that the Transfer Appliance can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if the Transfer Appliance fails.
Answer: C
QUESTION NO: 2
For this question, refer to the TerramEarth case study.
The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?
A. Use Google Container Engine with a Django Python container. Focus on an API for the public.
B. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
C. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.
D. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
E. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
Answer: D
Explanation
https://cloud.google.com/endpoints/docs/openapi/about-cloud-
endpoints?hl=en_US&_ga=2.21787131.-1712523
https://cloud.google.com/endpoints/docs/openapi/architecture-overview
https://cloud.google.com/storage/docs/gsutil/commands/test
Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API
Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.
From scenario:
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory Support the dealer network with more data on how their customers use their equipment to better position new products and services Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast-growing agricultural business - t o create compelling joint offerings for their customers.
Reference: https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth
QUESTION NO: 3
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?
A. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
B. Upload missing JAR files and redeploy your application.
C. Digitally sign all of your JAR files and redeploy your application
Answer: C
QUESTION NO: 4
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 with the default retention policies.
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, and export to Google Cloud Storage.
Answer: B
Explanation
https://cloud.google.com/monitoring/api/v3/metrics
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.
References: https://cloud.google.com/stackdriver/
QUESTION NO: 5
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
A. Google Kubernetes Engine with an SSL Ingress
B. Cloud IoT Core with public/private key pairs
C. Compute Engine with specific SSH keys
D. Compute Engine with project-wide SSH keys
Answer: B
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Updated: May 28, 2022
試験コード:Professional-Cloud-Architect
試験名称:Google Certified Professional - Cloud Architect (GCP)
最近更新時間:2024-12-04
問題と解答:全 282 問
Google Professional-Cloud-Architect キャリアパス
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試験コード:Professional-Cloud-Architect
試験名称:Google Certified Professional - Cloud Architect (GCP)
最近更新時間:2024-12-04
問題と解答:全 282 問
Google Professional-Cloud-Architect 日本語版対策ガイド
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試験コード:Professional-Cloud-Architect
試験名称:Google Certified Professional - Cloud Architect (GCP)
最近更新時間:2024-12-04
問題と解答:全 282 問
Google Professional-Cloud-Architect 試験解説
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