You have a Google Cloud Workflow that calls two HTTP endpoints sequentially. The first call succeeds, but the second call returns a 500 error. What will be the overall status of the workflow execution?
steps:
- callFirst:
call: http.get
args:
url: https://example.com/api/first
- callSecond:
call: http.get
args:
url: https://example.com/api/second
Think about how workflows handle errors in sequential steps.
If any step in a Google Cloud Workflow fails without error handling, the entire workflow execution fails.
You want to automate a process that triggers when a file is uploaded to Cloud Storage, then processes the file and updates a database. Which architecture best uses Google Cloud Workflows?
Consider event-driven triggers and how Workflows integrate with other services.
Cloud Functions can trigger Workflows on events like file uploads, enabling event-driven orchestration.
You have a Workflow that needs to access a Cloud SQL database. What is the best practice to securely grant the Workflow access?
Think about least privilege and secure authentication methods.
Assigning the Workflow's service account the Cloud SQL Client role and using IAM authentication is secure and recommended.
Which option contains a syntax error in the Google Cloud Workflow YAML definition?
steps:
- step1:
call: http.get
args:
url: https://example.com/api
- step2:
call: http.get
args:
url: https://example.com/api2
Check YAML syntax carefully, especially colons and indentation.
In YAML, list items must have a colon after the key. 'step2' is missing the colon, causing a syntax error.
You have a long-running Workflow that calls multiple APIs with some steps that can run in parallel. What is the best practice to optimize cost and performance?
Think about how parallelism affects execution time and cost.
Running independent steps in parallel reduces total execution time and can lower costs by finishing faster.