Module 2: Introduction to Cloud Run Functions

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In this post, I provide complete, accurate, and detailed explanations for the answers to Module 2: Introduction to Cloud Run Functions of Course 5: Developing Applications with Cloud Run Functions on Google Cloud – 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 1

Graded Assignment

1. Which of these statements about Cloud Run functions are correct? Select three.

  • Is a scalable functions-as-a-service platform. ✅
  • Can be used to extend Cloud services. ✅
  • Require servers or VMs to be provisioned.
  • Is integrated with Cloud Logging. ✅
  • Can only be invoked by sending HTTP requests.

Explanation:

  • Scalable FaaS (Functions-as-a-Service) → Cloud Run functions automatically scale based on demand.
  • Extend Cloud Services → Can be used to process data, automate tasks, and integrate with Google Cloud services.
  • Integrated with Cloud Logging → Logs can be automatically collected for debugging and monitoring.

2. An HTTP function: (Select three).

  • Must send back an HTTP response. ✅
  • Can be used to implement a webhook. ✅
  • Can only be invoked with authentication credentials.
  • Is triggered by a request made to its URL endpoint. ✅

Explanation:

  • Must send back an HTTP response → Every HTTP function processes a request and sends a response before terminating.
  • Can be used to implement a webhook → HTTP functions listen for external requests, making them ideal for webhooks.
  • Triggered by a request to its URL → HTTP functions expose a URL endpoint that clients can call.

3. What are some features and benefits of using Cloud Run functions? Select four.

Cloud Run functions:

  • Are triggered by HTTP requests and events from Cloud Services. ✅
  • Uses a fixed pricing model.
  • Can be integrated with Cloud databases. ✅
  • Can be locally developed and tested. ✅
  • Supports seamless authentication with IAM. ✅

Explanation:

  • Supports both HTTP requests & Cloud events → Works with Pub/Sub, Cloud Storage, Eventarc, etc.
  • Can connect with Cloud Databases → Like Cloud SQL, Firestore, BigQuery, etc.
  • Local development & testing → Using Cloud SDK, Docker, and local emulators.
  • IAM-based authentication → Secure access control with Google IAM.

4. An event-driven function: (Select three).

  • Can only be implemented as a CloudEvent function.
  • Uses event triggers for various services like Pub/Sub, and Cloud Storage. ✅
  • Responds to events that occur in your cloud infrastructure. ✅
  • Can be triggered from Eventarc sources. ✅

Explanation:

  • Uses Event Triggers → Supports Pub/Sub, Cloud Storage, Firestore, and Eventarc sources.
  • Monitors cloud infrastructure events → Can respond to file uploads, database updates, etc.
  • Eventarc support → Eventarc enables triggering functions from various Google Cloud services.

Related contents:

Module 3: Calling and Connecting Cloud Run Functions
Module 4: Securing Cloud Run Functions
Module 5: Integrating with Cloud Databases
Module 6: Best Practices for Functions

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