免費下載Professional-Cloud-Developer試題|第一次嘗試輕鬆學習並通過考試並且有效的Google Google Certified Professional - Cloud Developer

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Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|
| Topic 1: Building and testing applications | - Application development on Google Cloud - Debugging and troubleshooting applications - Unit and integration testing strategies
|
| Topic 2: Designing cloud-native applications | - Application architecture design - Scalability and resiliency patterns - Microservices design principles
|
| Topic 3: Integrating Google Cloud services | - Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
|
| Topic 4: Deploying applications | - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines - Release management strategies
|
| Topic 5: Ensuring application performance and reliability | - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization - Fault tolerance and incident response
|
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Professional-Cloud-Developer信息資訊 & Professional-Cloud-Developer證照
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最新的 Cloud Developer Professional-Cloud-Developer 免費考試真題 (Q255-Q260):
問題 #255
In the systematic troubleshooting approach, which of the following statements is true about isolating an issue?
- A. Replacing an internal component will determine if the issue is related to environment.
- B. Basing a conclusion on past experience with similar issues is a proven troubleshooting method.
- C. Asking the customer to reproduce an issue can help determine if the issue is with the device.
- D. If an issue cannot be reproduced, it is likely a hardware issue.
答案:C
問題 #256
You are reviewing and updating your Cloud Build steps to adhere to best practices. Currently, your build steps include:
1. Pull the source code from a source repository.
2. Build a container image
3. Upload the built image to Artifact Registry.
You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes. What should you do?
- A. Upload the built container images to your Docker Hub instance, and scan them for vulnerabilities.
- B. Enable Binary Authorization, and configure it to attest that no vulnerabilities exist in a container image.
- C. Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.
- D. Add Artifact Registry to your Aqua Security instance, and scan the built container images for vulnerabilities.
答案:C
解題說明:
https://cloud.google.com/container-analysis/docs/automated-scanning-
howto#view_the_image_vulnerabilities
問題 #257
You are using the latest stable version of Python 3 to develop an API that stores data in a Cloud SQL database. You need to perform CRUD operations on the production database securely and reliably with minimal effort. What should you do?
- A. 1. Use the Cloud SQL emulator to connect to the Cloud SQL database from Cloud Shell
2. Grant an IAM role to the user that includes the cloudsql.instances.login permission. - B. 1. Use the Cloud SQL connector library for Python to connect to the Cloud SQL database through a Cloud SQL Auth Proxy.
2. Grant an IAM role to the service account that includes the cloudsql.instances.connect permission. - C. 1. Use the Cloud SQL API to connect to the Cloud SQL database from your Python application.
2. Grant an IAM role to the service account that includes the cloudsql.instances.login permission. - D. 1. Use Cloud Composer to manage the connection to the Cloud SQL database from your Python application.
2. Grant an IAM role to the service account that includes the composer.worker permission.
答案:B
解題說明:
The Cloud SQL connector library for Python, along with the Cloud SQL Auth Proxy, is the recommended way to connect securely to Cloud SQL from a Python application. This method handles authentication using IAM and allows your application to securely connect to the database without managing a password or setting up a static IP. Granting the cloudsql.instances.connect permission to the service account ensures that it has the necessary access to connect to the Cloud SQL instance.
Using this approach provides a secure, reliable connection with minimal configuration and is preferred over options like the Cloud SQL API or Cloud Composer, which are not specifically designed for direct database connections in an application context.
問題 #258
You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests. Your load tests must meet the following requirements:
- Load is initiated from multiple parallel threads.
- User traffic to the API originates from multiple source IP addresses.
- Load can be scaled up using additional test instances.
You want to follow Google-recommended best practices. How should you configure the load testing?
- A. Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in a managed instance group, and run one instance of the image for each VM.
- B. Download the container image of a distributed load testing framework on Cloud Shell.Sequentially start several instances of the container on Cloud Shell to increase the load on the API.
- C. Deploy a distributed load testing framework on a private Google Kubernetes Engine cluster.
Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users. - D. Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.
答案:C
問題 #259
You are creating a Google Kubernetes Engine (GKE) cluster and run this command:

The command fails with the error:

You want to resolve the issue. What should you do?
- A. Decouple services in the cluster, and rewrite new clusters to function with fewer cores.
- B. Open a support case to request additional GKE quotA.
- C. Request additional GKE quota is the GCP Console.
- D. Request additional Compute Engine quota in the GCP Console.
答案:C
問題 #260
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