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Section 2: Building & Testing Apps

To answer the questions related to this section, the test takers should be capable of setting up their local development environment as well as writing efficient code. It also measures the ability of the candidates to perform testing, including unit testing, integration testing, performance testing, and load testing. They should also demonstrate that they know how to perform building. This involves executing source control management; creating secure container images from code; developing a continuous integration pipeline with the help of services that construct deployment artifacts; reviewing & improving continuous integration pipeline effectiveness.

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This certification exam measures your ability to perform various tasks required for the successful functioning of different processes. The details of its topics are enumerated below:

Designing Highly Available, Reliable, and Scalable Cloud-Native Apps

  • Design Secure Applications: This topic covers the details, which include security mechanisms securing and protecting services and resources as well as app manifests & binaries. It also involves the skills in implementing the appropriate prerequisites for applicable applications. You should know about rotating & storing application keys & secrets, validating processes of the Google service, service-to-service communications, and IAM roles for groups/service/user accounts. The subtopic also covers your knowledge of how to run the services that have the least privileged access, data retention prerequisites, and certificate-based validation.
  • Manage Application Data: The considerations for this subdomain include data volume, structured versus unstructured data, strong versus eventual consistency, and data access frequency within Cloud Storage.
  • Application Modernization: It covers the learners’ skills in using managed services, designing horizontally state-less scalable services, refactoring the monolith to micro-services, and understanding the Google-recommended practices and documentation.
  • Design High Performing APIs and Applications: The considerations for this subject area include Microservices, scaling velocity tradeoffs/characteristics of IaaS vs. CaaS vs. PaaS, Geographic distribution of Google Cloud services, and user session management. It also covers the domains, such as caching solutions, securing & deploying API services, Google-recommended documentation & practices, and refined shutdown on the platform termination. The learners should also be able to explain the key structure of high-write apps with the use of Cloud Storage, Cloud SQL, Cloud Spanner, and Cloud Bigtable.

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

Important Details

The candidates for this certification are the Cloud developers who have competence in building highly available and scalable apps with the Google-recommended tools and practices. They also have proficiency in a minimum of one general-purpose programming language. It is recommended that the individuals for the Professional Cloud Developer certificate have at least three years of practical experience with Google Cloud solutions and products. They should also possess at least one year of designing and managing solutions with the use of GCP. Please note that you should also understand the content of the prerequisite exam before attempting it.

Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Building and testing applications- Debugging and troubleshooting applications
- Unit and integration testing strategies
- Application development on Google Cloud
Designing cloud-native applications- Scalability and resiliency patterns
- Application architecture design
- Microservices design principles
Integrating Google Cloud services- API integration and service-to-service communication
- Using managed services (Pub/Sub, Firestore, Cloud SQL)
Deploying applications- Release management strategies
- Containerization and deployment (Cloud Run, GKE)
- CI/CD pipelines
Ensuring application performance and reliability- Monitoring and logging (Cloud Monitoring, Cloud Logging)
- Fault tolerance and incident response
- Performance optimization

Google Certified Professional - Cloud Developer Sample Questions:

Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.
What should you do?

  • A. Deploy your application on App Engine. Use traffic splitting to direct a subset of user traffic to the new version based on the IP address.
  • B. Deploy your application on Cloud Run. Use traffic splitting to direct a subset of user traffic to the new version based on the revision tag.
  • C. Deploy your application on Google Kubernetes Engine with Anthos Service Mesh. Use traffic splitting to direct a subset of user traffic to the new version based on the user-agent header.
  • D. Deploy your application on Compute Engine. Use Traffic Director to direct a subset of user traffic to the new version based on predefined weights.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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You are developing a web application that contains private images and videos stored in a Cloud Storage bucket. Your users are anonymous and do not have Google Accounts. You want to use your application-specific logic to control access to the images and videos. How should you configure access?

  • A. Grant the Storage Object Viewer IAM role to allUsers. Allow users to access the bucket after authenticating through your web application.
  • B. Generate a signed URL that grants read access to the bucket. Allow users to access the URL after authenticating through your web application.
  • C. Cache each web application user's IP address to create a named IP table using Google Cloud Armor. Create a Google Cloud Armor security policy that allows users to access the backend bucket.
  • D. Configure Identity-Aware Proxy (IAP) to authenticate users into the web application. Allow users to access the bucket after authenticating through IAP.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.
How should you handle this error?

  • A. Retry the request with a truncated exponential backoff strategy.
  • B. Add a cache-control header to the objects.
  • C. Change the storage class of the Cloud Storage bucket to Multi-regional.
  • D. Request a quota increase from the GCP Console.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Your company recently modernized their monolith ecommerce site to a microservices application in GKE. Your team uses Google Cloud's operations suite for monitoring and logging. You want to improve the logging indexing and searchabilty in Cloud Logging across your microservices with the least amount of effort. What should you do?

  • A. Ask the SRE team to enable Managed Service for Prometheus on your GKE cluster.
  • B. Reconfigure your applications to write logs to an emptyDir volume. Configure a sidecar agent to read the logs and send them to the Cloud Logging API.
  • C. Instrument your microservices code with OpenTelemetry libraries.
  • D. Update your microservices code to emit logs in JSON format.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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You need to deploy a new feature into production on Cloud Run. Your company's SRE team mandates gradual deployments to avoid large downtimes caused by code change errors. You want to configure this deployment with minimal effort. What should you do?

  • A. Deploy the feature with "Serve this revision immediately" unchecked, and configure the new revision to serve a small percentage of traffic. Check for errors, and increase traffic to the revision as appropriate.
  • B. Configure the application code to send a small percentage of users to the newly deployed revision.
  • C. Deploy the feature with "Serve this revision immediately" checked. Check for errors, roll back to the previous revision, and repeat the process until you have verified that the deployment is bug- free.
  • D. Configure the application's frontend load balancer to toggle between the new and old revisions.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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