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Google Professional-Cloud-Developer 問題集

Professional-Cloud-Developer

試験コード:Professional-Cloud-Developer

試験名称:Google Certified Professional - Cloud Developer

最近更新時間:2026-06-12

問題と解答:全400問

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質問 1:
You have an application that accepts inputs from users. The application needs to kick off different background tasks based on these inputs. You want to allow for automated asynchronous execution of these tasks as soon as input is submitted by the user. Which product should you use?
A. Cloud Composer
B. Cloud Bigtable
C. Cloud Pub/Sub
D. Cloud Tasks
正解:D
解説: (Topexam メンバーにのみ表示されます)

質問 2:
You have two tables in an ANSI-SQL compliant database with identical columns that you need to quickly combine into a single table, removing duplicate rows from the result set. What should you do?
A. Use the JOIN operator in SQL to combine the tables.
B. Query the tables from a Linux shell, combine the results into a single CSV, and re-import the rows into the database. Use the UNION ALL operator in SQL to combine the tables.
C. Use nested WITH statements to combine the tables.
D. Use the UNION operator in SQL to combine the tables.
正解:D
解説: (Topexam メンバーにのみ表示されます)

質問 3:
You are developing a container build pipeline for an application hosted on GKE. You have the following requirements:
- Only images that are created using your build pipeline should be
deployed on your GKE cluster.
- All code and build artifacts should remain within your environment
and protected from data exfiltration.
How should you build the pipeline?
A. 1. Create a build pipeline by using Cloud Build with the default worker pool.
2. Deploy container images to a private container registry in your VPC.
3. Create a VPC firewall policy in your project that denies all egress and ingress traffic to public networks.
B. 1. Create a build pipeline by using Cloud Build with a private worker pool.
2. Configure the CI/CD pipeline to build container images and store them in Artifact Registry.
3. Configure Artifact Registry to encrypt container images by using customer-managed encryption keys (CMEK).
C. 1. Create a build pipeline by using Cloud Build with the default worker pool.
2. Configure the CI/CD pipeline to build container images and store them in Artifact Registry.
3. Configure your GKE cluster to only allow container images signed by Binary Authorization.
D. 1. Create a build pipeline by using Cloud Build with a private worker pool.
2. Use VPC Service Controls to place all components and services in your CI/CD pipeline inside a security perimeter.
3. Configure your GKE cluster to only allow container images signed by Binary Authorization.
正解:D
解説: (Topexam メンバーにのみ表示されます)

質問 4:
You are developing a secure document sharing platform. The platform allows users to share documents with other users who may be external to their organization. Access to these documents should be revoked after a configurable time period. The documents are stored in Cloud Storage. How should you configure Cloud Storage to support this functionality?
A. Apply access control list (ACL) permissions to the Cloud Storage bucket.
B. Create signed policy documents on the Cloud Storage bucket.
C. Grant the Storage Object Viewer IAM role to all authenticated users.
D. Generate a signed URL for each document the user wants to share.
正解:D
解説: (Topexam メンバーにのみ表示されます)

質問 5:
Your teammate has asked you to review the code below. Its purpose is to query account entities in Cloud Datastore for those with a balance greater than 10000 and an age less than 4. Which improvement should you suggest your teammate make?
Captionless Image
A. Send two queries-one for balances over 10000, and another for ages less than 4-and compute the intersection.
B. Change the argument to OrderBy.desc to be "balance" instead of "age."
C. The query needs to have an ancestor query.
D. The query should be performed in a transaction.
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 6:
Case Study 1 - 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.
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.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* 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.
* Increase the number of concurrent users that can be supported.
* 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.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?
A. Create manual subnets.
B. Create multiple peered VPCs.
C. Provision a single instance for NAT.
D. Create an auto mode subnet.
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 7:
You are developing an application that will allow users to read and post comments on news articles. You want to configure your application to store and display user-submitted comments using Firestore. How should you design the schema to support an unknown number of comments and articles?
A. Add each comment to an array property on the article.
B. Store each comment in a document, and add the comment's key to an array property on the article.
C. Store each comment in a subcollection of the article.
D. Store each comment in a document, and add the comment's key to an array property on the user profile.
正解:C
解説: (Topexam メンバーにのみ表示されます)

一年間の無料更新サービスを提供します

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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
  • Developing An Integration Pipeline Using Services
  • Emulating GCP Services For Local Application Development
トピック 2
  • 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 3
  • Implementing Appropriate Deployment Strategies Based On The Target Compute Environment
  • Creating A Load Balancer For Compute Engine Instances
トピック 4
  • Designing Highly Scalable, Available, And Reliable Cloud-Native Applications
  • Geographic Distribution Of Google Cloud Services
トピック 5
  • Operating System Versions And Base Runtimes Of Services
  • Oogle-Recommended Practices And Documentation
トピック 6
  • Publishing And Consuming From Data Ingestion Sources
  • Authenticating Users By Using Oauth2 Web Flow And Identity Aware Proxy
トピック 7
  • Eploying Applications And Services On Compute Engine
  • Deploying An Application To App Engine
トピック 8
  • Defining A Key Structure For High Write Applications Using Cloud Storage
  • Using Cloud Storage To Run A Static Website
トピック 9
  • Google-Recommended Practices And Documentation
  • Deploying And Securing An API With Cloud Endpoints
トピック 10
  • Reviewing Test Results Of Continuous Integration Pipeline
  • Developing Unit Tests For All Code Written

参照:https://cloud.google.com/certification/cloud-developer

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