Module 6: Best Practices for Functions

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In this post, I provide complete, accurate, and detailed explanations for the answers to Module 6: Best Practices for Functions of Course 5: Developing Applications with Cloud Run Functions on Google Cloud – Preparing for Google Cloud Certification: Cloud Developer Professional Certificate

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Quiz 5

Graded Assignment

1. To improve the performance of your function, what are three best practices to follow?

  • Remove any unused dependencies from the function source. ✅
  • In your function code, reuse objects with global variables. ✅
  • Set a minimum number of instances when deploying your function. ✅
  • Initialize global variables in your function code eagerly.

Explanation:
Improving function performance involves reducing cold start time and optimizing resource efficiency. Removing unused dependencies helps minimize the function’s startup time and decreases deployment size. Reusing objects with global variables ensures that Cloud Run can retain and reuse data across multiple function invocations, eliminating unnecessary recomputation. Setting a minimum number of instances keeps a predefined number of function instances warm, reducing delays caused by cold starts. These optimizations collectively enhance function responsiveness and execution speed.

2. To optimize networking for your function, which two approaches should you use?

  • Persistent HTTP connections. ✅
  • Local scope to initialize and store network connections and API client objects.
  • Serverless VPC Access connectors to connect your cloud function to project resources. ✅

Explanation:
Optimizing networking is crucial to improving function performance and reducing resource consumption. Using persistent HTTP connections helps minimize the overhead of repeatedly establishing new connections, leading to faster request handling and reduced CPU usage. Serverless VPC Access connectors enable secure communication between the cloud function and internal project resources by routing traffic through internal DNS and IPs rather than exposing it to the internet. These approaches ensure efficient and secure networking, enhancing overall function performance.

3. Which two statements about retrying of functions are correct?

Function retry:

  • Is supported for both HTTP and event-driven functions.
  • Is enabled by default.
  • Can be enabled or disabled in Google Cloud console or with the gcloud CLI. ✅
  • If enabled, causes the function to be retried on failure for up to 7 days. ✅

Explanation:

  • Retries can be managed via the Google Cloud console or CLI.
  • Event-driven functions can retry for up to 7 days on failure.

4. What are three best practices to use when implementing IAM policies for functions?

  • Limit the number of user and service accounts that can access the function. ✅
  • Allocate the minimum set of permissions required to develop and use your functions. ✅
  • Ensure that a function sends requests only to a subset of your other functions that are needed to perform its job. ✅
  • In production environments, use the default runtime service account for a function’s identity.

Explanation:

  • Least privilege access ensures security.
  • Minimizing service accounts and permissions prevents unauthorized access.
  • Restricting function-to-function communication improves security.

5. How can you control the scaling behavior of functions?

  • Use a common configuration to control the scaling behavior of all of your functions.
  • Because there are no servers to manage, functions cannot be scaled.
  • Function scaling is handled automatically and cannot be controlled.
  • Set the minimum and maximum number of function instances during deployment. ✅

Explanation:
Cloud Run allows setting instance limits to control scaling.

6. Which statement regarding revisions of Cloud Run functions is correct?

  • You can change an existing revision of a deployed function.
  • You can split traffic between different revisions of a function. ✅
  • When a function is deployed, a new revision is not automatically created.
  • You cannot roll back a function to a prior revision.

Explanation:
Traffic splitting allows gradual rollouts and A/B testing.

Related contents:

Module 2: Introduction to Cloud Run Functions
Module 3: Calling and Connecting Cloud Run Functions
Module 4: Securing Cloud Run Functions
Module 5: Integrating with Cloud Databases

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