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AI Center
Last updated May 21, 2025
ML Skills
This section provides frequently encountered errors related to ML Skills.
Use this article if you encounter one of the following issues related to ML Skills:
- ML Skill deployment failed
- ML Skills failed to deploy
- ML Skills not getting deployed
- Other errors while deploying ML Skills
The following common situations can lead to ML Skill deployment failures or errors:
- Issues with the dataset:
- The ML Skills was not deployed on the latest minor version. Make sure to use the latest trained ML Package version when deploying an ML Skill. Otherwise, an error can occur while deploying the skill in the ML Extractor activity in your workflow.
- An untrained ML Skill is deployed.
- Insufficient licenses available on the tenant. For more information on licenses, check the AI Units page.
The following error is encountered when deploying an ML
Skill:
The document exceeds the maximum allowed size for a request
Http Response Code: 413
Http Response Content: {"message":"The maximum page count is 50. Detected 61 pages.","severity":"info","code":"[PageLimitExceeded]","parameters":["50","61"]}The document exceeds the maximum allowed size for a request
Http Response Code: 413
Http Response Content: {"message":"The maximum page count is 50. Detected 61 pages.","severity":"info","code":"[PageLimitExceeded]","parameters":["50","61"]}When this error is encountered, the ML Skill used for prediction has insufficient resources to process the given document. To fix this, use the following steps:
- Use a higher tier with more resources for the ML Skill.
- Redeploy the ML Skill.
