View all detail and faqs for the Professional-Cloud-Developer exam
Your team is setting up a build pipeline for an application that will run in Google Kubernetes Engine (GKE). For security reasons, you only want images produced by the pipeline to be deployed to your GKE cluster. Which combination of Google Cloud services should you use?
Your operations team has asked you to create a script that lists the Cloud Bigtable, Memorystore, and Cloud SQL databases running within a project. The script should allow users to submit a filter expression to limit the results presented. How should you retrieve the data?
Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?
A)
Manually copy the photos to webphotos-prod.
B)
Add a startup script in the application’s app.yami file to move the photos from webphotos-staging to webphotos-prod.
C)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
D)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?
Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3
different website designs.
Which approach should you use?
You want to re-architect a monolithic application so that it follows a microservices model. You want to
accomplish this efficiently while minimizing the impact of this change to the business.
Which approach should you take?
You have an application written in Python running in production on Cloud Run. Your application needs to read/write data stored in a Cloud Storage bucket in the same project. You want to grant access to your application following the principle of least privilege. What should you do?
You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?
You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below:
You want to optimize deployment times and avoid unnecessary steps What should you do?
You are building a highly available and globally accessible application that will serve static content to users. You need to configure the storage and serving components. You want to minimize management overhead and latency while maximizing reliability for users. What should you do?
