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Google Professional-Cloud-Developer認定は、クラウドコンピューティングにおけるスキルと知識を向上させたい開発者にとって、必須の資格です。この認定は、世界的に認められ、クラウドコンピューティング産業で非常に求められるものです。試験は、Google Cloud Platform上でクラウドベースのソリューションを開発・実装する能力をテストするよう設計されています。試験に合格することは、候補者のキャリア成長にとって重要な資産となり、クラウドコンピューティングにおける新しい機会を開くことができます。

Google Professional-Cloud-Developer（Google Certified Professional-Cloud Developer）認定試験は、Google Cloud Platform（GCP）テクノロジーを専門とするクラウド開発者のスキルと知識を検証するように設計されています。この認定は、GCPでアプリケーションとサービスの開発、展開、および管理に関与している個人を対象としています。この試験では、GCPでクラウドネイティブアプリケーションの設計、構築、テスト、展開など、クラウド開発のさまざまな側面を測定します。

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Professional-Cloud-Developer試験の準備方法｜便利なProfessional-Cloud-Developerトレーニング資料試験｜最新のGoogle Certified Professional - Cloud Developer赤本合格率

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Google Professional-Cloud-Developer 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Security Mechanisms That Protect Services And Resources Choosing Data Storage Options Based On Use Case Considerations
トピック 2	Operating System Versions And Base Runtimes Of Services Oogle-Recommended Practices And Documentation
トピック 3	Defining Database Schemas For Google-Managed Databases Re-Architecting Applications From Local Services To Google Cloud Platform
トピック 4	Defining A Key Structure For High Write Applications Using Cloud Storage Using Cloud Storage To Run A Static Website
トピック 5	Automating Resource Provisioning With Deployment Manager Creating An Instance With A Startup Script That Installs Software
トピック 6	Reading And Updating An Entity In A Cloud Datastore Transaction From An Application Using Apis To Read Write To Data Services
トピック 7	Setting Up Your Development Environment, Considerations Building And Testing Applications
トピック 8	Eploying Applications And Services On Compute Engine Deploying An Application To App Engine
トピック 9	Reviewing Test Results Of Continuous Integration Pipeline Developing Unit Tests For All Code Written

Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q209-Q214):

質問 # 209
You made a typo in a low-level Linux configuration file that prevents your Compute Engine instance from booting to a normal run level. You just created the Compute Engine instance today and have done no other maintenance on it, other than tweaking files. How should you correct this error?

A. Configure and log in to the Compute Engine instance using a remote desktop client, and change the file
B. Download the file using scp, change the file, and then upload the modified version
C. Configure and log in to the Compute Engine instance through the serial port, and change the file
D. Configure and log in to the Compute Engine instance through SSH, and change the file

正解：C

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

質問 # 210
You are running a web application on Google Kubernetes Engine that you inherited. You want to determine whether the application is using libraries with known vulnerabilities or is vulnerable to XSS attacks. Which service should you use?

A. Error Reporting
B. Web Security Scanner
C. Debugger
D. Google Cloud Armor

正解：B

解説：
https://cloud.google.com/security-command-center/docs/concepts-web-security-scanner-overview Web Security Scanner identifies security vulnerabilities in your App Engine, Google Kubernetes Engine (GKE), and Compute Engine web applications. It crawls your application, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible.

質問 # 211
You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud. The code needs to be containerized and use several custom software libraries that your team has built. You do not want to maintain the underlying infrastructure of the application.
How should you deploy the microservice?

A. Use Cloud Build to create the container, and deploy it on Cloud Run.
B. Use Cloud Shell to containerize your microservice, and deploy it on a Container-Optimized OS Compute Engine instance.
C. Use Cloud Shell to containerize your microservice, and deploy it on standard Google Kubernetes Engine.
D. Use Cloud Functions to deploy the microservice.

正解：A

質問 # 212
You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:
- Scales automatically during popular events and maintains high
availability
- Is resilient in the event of hardware failures
How should you configure the deployment parameters? (Choose two.)

A. Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.
B. Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.
C. Distribute your workload evenly using multiple zonal node pools.
D. Distribute your workload evenly using a multi-zonal node pool.
E. Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.

正解：B、D

解説：
https://cloud.google.com/kubernetes-engine/docs/concepts/planning-scalability#choosing_multi- zonal_or_single-zone_node_pools

質問 # 213
You have a web application that publishes messages to Pub/Sub. You plan to build new versions of the application locally and need to quickly test Pub/Sub integration for each new build. How should you configure local testing?

A. Install the Pub/Sub emulator using gcloud, and start the emulator with a valid Google Project ID.
When developing locally, configure your applicat.cn to use the local emulator by exporting the PUBSUB_EMULATOR_HOST variable.
B. In the Google Cloud console, navigate to the API Library, and enable the Pub/Sub API. When developing locally configure your application to call pubsub.googleapis.com.
C. Install Cloud Code on the integrated development environment (IDE). Navigate to Cloud APIs, and enable Pub/Sub against a valid Google Project IWhen developing locally, configure your application to call pubsub.googleapis.com.
D. Run the gcloud config set api_endpoint_overrides/pubsub
https://pubsubemulator.googleapis.com.com/ command to change the Pub/Sub endpoint prior to starting the application.

正解：A

解説：
For local testing of Pub/Sub integration in a web application, installing and using the Pub/Sub emulator is the most efficient approach. The emulator can be installed via gcloud and started with a valid Google Project ID. Configuring your application to use the emulator locally is done by setting the PUBSUB_EMULATOR_HOST environment variable.
https://cloud.google.com/pubsub/docs/emulator

質問 # 214
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