一番優秀なGoogle Professional-Cloud-Developer資料勉強 &合格スムーズProfessional-Cloud-Developer的中率 |権威のあるProfessional-Cloud-Developer受験料過去問

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Ensuring application performance and reliability	- Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization
Topic 2: Designing cloud-native applications	- Application architecture design - Scalability and resiliency patterns - Microservices design principles
Topic 3: Building and testing applications	- Application development on Google Cloud - Unit and integration testing strategies - Debugging and troubleshooting applications
Topic 4: Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Topic 5: Deploying applications	- Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines - Release management strategies

>> Professional-Cloud-Developer資料勉強 <<

Professional-Cloud-Developer的中率、Professional-Cloud-Developer受験料過去問

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Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q290-Q295):

質問 # 290
You configured your Compute Engine instance group to scale automatically according to overall CPU usage.
However, your application's response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration ot the instance group autoscaler. Which two configuration changes should you make? (Choose two.)

A. Decrease the target CPU usage for the instance group autoscaler.
B. Add the label "AUTOSCALE" to the instance group template.
C. Increase the target CPU usage for the instance group autoscaler.
D. Remove the health-check for individual VMs in the instance group.
E. Decrease the cool-down period for instances added to the group.

正解：B、C

質問 # 291
Case Study 2 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
- Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
- State is stored in a single instance MySQL database in GCP.
- Release cycles include development freezes to allow for QA testing.
- The application has no logging.
- Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings.
- There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
- Expand availability of the application to new regions.
- Support 10x as many concurrent users.
- Ensure a consistent experience for users when they travel to different regions.
- Obtain user activity metrics to better understand how to monetize their product.
- Ensure compliance with regulations in the new regions (for example, GDPR).
- Reduce infrastructure management time and cost.
- Adopt the Google-recommended practices for cloud computing.
Develop standardized workflows and processes around application lifecycle management.
Define service level indicators (SLIs) and service level objectives (SLOs).
Technical Requirements
- Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure.
- The application must provide usage metrics and monitoring.
- APIs require authentication and authorization.
- Implement faster and more accurate validation of new features.
- Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.
- Must scale to meet user demand.
For this question, refer to the HipLocal case study.
How should HipLocal increase their API development speed while continuing to provide the QA team with a stable testing environment that meets feature requirements?

A. Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.
B. Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.
C. Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.
D. Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

正解：A

解説：
A stable environment is one that works. Performance testing does not mean it works fine, unit testing will enable this.

質問 # 292
You are developing an application that will handle requests from end users. You need to secure a Cloud Function called by the application to allow authorized end users to authenticate to the function via the application while restricting access to unauthorized users. You will integrate Google Sign-In as part of the solution and want to follow Google-recommended best practices.
What should you do?

A. Deploy from a source code repository and grant users the roles/cloudfunctions.invoker role
B. Deploy from a source code repository and grant users the roles/cloudfunctions.viewer role.
C. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.developer role
D. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.admin role

正解：A

解説：
Have the user account you are using to access Cloud Functions assigned a role that contains the cloudfunctions.functions.invoke permission. By default, the Cloud Functions Admin and Cloud Functions Developer roles have this permission. See Cloud Functions IAM Roles for the full list of roles and their associated permissions.

質問 # 293
Your API backend is running on multiple cloud providers. You want to generate reports for the network latency of your API.
Which two steps should you take? (Choose two.)

A. Use Fluentd agent to gather data.
B. Use Stackdriver Debugger to generate report.
C. Use Stackdriver Profiler to generate report.
D. Use Zipkin collector to gather data.
E. Use Stackdriver Trace to generate reports.

正解：D、E

解説：
Zipkin is used for to gather data for latency issues and SD trace purpose is to enable us to have a better view on the application code latency.
https://cloud.google.com/trace/docs/zipkin

質問 # 294
You are a developer working with the CI/CD team to troubleshoot a new feature that your team introduced. The CI/CD team used HashiCorp Packer to create a new Compute Engine image from your development branch. The image was successfully built, but is not booting up. You need to investigate the issue with the CI/CD team. What should you do?

A. Create a new feature branch, and ask the build team to rebuild the image.
B. Shut down the deployed virtual machine, export the disk, and then mount the disk locally to access the boot logs.
C. Install Packer locally, build the Compute Engine image locally, and then run it in your personal Google Cloud project.
D. Check Compute Engine OS logs using the serial port, and check the Cloud Logging logs to confirm access to the serial port.

正解：C

解説：
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-using-serial-console

質問 # 295
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どのようにして短時間で試験に合格し、証明書を取得できますか？ Professional-Cloud-Developer試験トレントは、目標を達成するための最良の選択です。お客様のニーズに応じて、当社の製品は多くの専門家によって改訂されました。 Professional-Cloud-Developer試験問題集のほとんどの機能は、お客様がより多くの時間を節約し、お客様をリラックスさせるのに役立ちます。 Professional-Cloud-Developerテストクイズを使用することを選択した場合、短時間でProfessional-Cloud-Developer試験に合格することは非常に簡単です。 Professional-Cloud-Developer試験問題の勉強に20〜30時間費やすだけです。他のことをする自由時間が増えます。

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