Google Professional-Cloud-Developer 問題集

質問 1：
Which database should HipLocal use for storing user activity?
A. BigQuery
B. Cloud Spanner
C. Cloud Datastore
D. Cloud SQL
正解：A

質問 2：
You are developing a single-player mobile game backend that has unpredictable traffic patterns as users interact with the game throughout the day and night. You want to optimize costs by ensuring that you have enough resources to handle requests, but minimize over-provisioning. You also want the system to handle traffic spikes efficiently. Which compute platform should you use?
A. Cloud Run
B. Compute Engine with managed instance groups
C. Compute Engine with unmanaged instance groups
D. Google Kubernetes Engine using cluster autoscaling
正解：A

質問 3：
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 through SSH, 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 using a remote desktop client, and change the file
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 4：
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 cool-down period for instances added to the group.
B. Decrease the target CPU usage for the instance group autoscaler.
C. Add the label "AUTOSCALE" to the instance group template.
D. Increase the target CPU usage for the instance group autoscaler.
E. Remove the health-check for individual VMs in the instance group.
正解：C,D

質問 5：
You are deploying your applications on Compute Engine. One of your Compute Engine instances failed to launch. What should you do? (Choose two.)
A. Determine whether your file system is corrupted.
B. Check whether your instance boot disk is completely full.
C. Troubleshoot firewall rules or routes on an instance.
D. Check whether network traffic to or from your instance is being dropped.
E. Access Compute Engine as a different SSH user.
正解：A,B
解説: (Topexam メンバーにのみ表示されます)

質問 6：
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 Stackdriver Profiler to generate report.
B. Use Stackdriver Trace to generate reports.
C. Use Zipkin collector to gather data.
D. Use Stackdriver Debugger to generate report.
E. Use Fluentd agent to gather data.
正解：B,C
解説: (Topexam メンバーにのみ表示されます)

質問 7：
You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?
A. Each group of developers creates a feature branch from the main branch for their work, commits their changes to their branch, and merges their code into the main branch before each major release.
B. Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.
C. Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch after peer review.
D. Each group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.
正解：C

質問 8：
You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git repository for version control. Your manager calls you over the weekend and instructs you to make an emergency update to one of the company's websites, and you're the only developer available. You need to access Google Cloud to make the update, but you don't have your work laptop. You are not allowed to store source code locally on a non-corporate computer. How should you set up your developer environment?
A. Use a text editor and the Git command line to send your source code updates as pull requests from a virtual machine running on a public computer.
B. Use a text editor and the Git command line to send your source code updates as pull requests from a public computer.
C. Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.
D. Use a Cloud Storage bucket to store the source code that you need to edit. Mount the bucket to a public computer as a drive, and use a code editor to update the code. Turn on versioning for the bucket, and point it to the team's Git repository.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 9：
Your team is developing an ecommerce platform for your company. Users will log in to the website and add items to their shopping cart. Users will be automatically logged out after 30 minutes of inactivity. When users log back in, their shopping cart should be saved. How should you store users' session and shopping cart information while following Google-recommended best practices?
A. Store the session information in Memorystore for Redis or Memorystore for Memcached, and store the shopping cart information in Firestore.
B. Store the shopping cart information in a file on Cloud Storage where the filename is the SESSION ID.
C. Store the session information in Pub/Sub, and store the shopping cart information in Cloud SQL.
D. Store the session and shopping cart information in a MySQL database running on multiple Compute Engine instances.
正解：A