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If you’re working through the “Moderate – Generative AI Chat App Conversations” lab and keep running into an error that says, “Could not find the service with the name you provided. Check the service name and try again,” this guide can help you fix the issue.
Here’s what is happening: your Lambda function named “guard_chat_function” is running fine, and you’ve checked that it’s in the correct region (us-east-1), with the right runtime (Python 3.11), and the correct IAM role (LabRole). Your AWS account is also correct, and the function executes without any problem. The problem isn’t with the function itself but comes from the validation process in the lab possibly having a backend issue.
To troubleshoot this, first, double-check the name of your Lambda function. Make sure it exactly matches what the lab expects. Often, validation errors occur because of a small typo or mismatched name.
Next, verify the service name you’re providing during the setup—this could be part of the validation step. Ensure that you’re entering the correct service name, spelling it properly, and using the right case, as AWS is case-sensitive.
If everything seems correct but the error still persists, it might be a temporary issue with the lab platform itself. A good step is to refresh the page or restart your session and try again. Sometimes, the platform’s backend services might be experiencing delays or temporary problems, which can cause false validation errors.
Finally, if these steps do not fix the problem, consider reaching out to AWS support or the lab facilitator. They might be aware of ongoing issues or can guide you through additional troubleshooting steps.
By carefully checking your service and function names and giving the platform a little time, you can usually work around these errors and continue with your lab. Stay patient, and don’t hesitate to seek help if needed!
ChatGPT
Perplexity
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