Module 4: Application Development, Testing, and Integration

Looking for ‘Developing Applications with Cloud Run on Google Cloud: Fundamentals Module 4 Answers’?

In this post, I provide complete, accurate, and detailed explanations for the answers to Module 4: Application Development, Testing, and Integration of Developing Applications with Cloud Run on Google Cloud: Fundamentals – Preparing for Google Cloud Certification: Cloud Developer Professional Certificate

Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question!

Quiz

Graded Assignment

1. What are some characteristics of applications that are a good fit for Cloud Run? Select three.

  • The application is containerized. ✅
  • When run as a service, the application responds to a request within a specified time. ✅
  • The application depends on a local persistent file system.
  • When run as a service, the application listens for HTTP requests on a specified port. ✅

Explanation:

  • Cloud Run is a serverless container platform, meaning applications must be containerized.
  • Cloud Run services must respond within a set time (request-response model).
  • Services need to listen on an HTTP port to accept requests.

2. What are some products or services that you can use to build containers? Select three.

  • Cloud Build ✅
  • Artifact Registry
  • Docker ✅
  • Cloud Run

Explanation:

  • Cloud Build → Used for building and packaging container images.
  • Docker → A containerization tool for creating and running containers.

3. Which of these statements regarding service revisions in Cloud Run are correct? Select two.

  • A revision is created when you update the configuration of a service in Cloud Run. ✅
  • You cannot control the amount of request traffic received by a service revision.
  • A revision is created when you deploy a container image to a service in Cloud Run. ✅

Explanation:

  • Cloud Run creates a new revision each time you:

    • Deploy a new container image.
    • Update the configuration (e.g., environment variables, memory, CPU).

4. To integrate a Cloud Run service with other Google Cloud APIs and resources, what are some steps you should take? Select three.

  • Use the default runtime service account to access Google Cloud APIs and resources from a Cloud Run service.
  • Use Secret Manager to store credentials required by downstream database services. ✅
  • Connect to Google Cloud services from your Cloud Run service using client libraries. ✅
  • To connect to internal cloud resources from your Cloud Run service, use Serverless VPC Access. ✅

Explanation:

  • Secret Manager → Used for securely storing API keys and database credentials.
  • Google Cloud Client Libraries → Recommended way to interact with Google Cloud services.
  • Serverless VPC Access → Needed to connect to internal resources (e.g., Cloud SQL).

Related contents:

Module 2: Fundamentals of Cloud Run
Module 3: Service Identity and Authentication

You might also like:

Course 2: Google Cloud Fundamentals: Core Infrastructure
Course 3: Developing Applications with Google Cloud: Foundations
Course 4: Service Orchestration and Choreography on Google Cloud
Course 5: Developing Applications with Cloud Run Functions on Google Cloud
Course 6: Developing Containerized Applications on Google Cloud
Course 8: Integrating Applications with Gemini 1.0 Pro on Google Cloud

Leave a Reply