Practice - 5 Tasks
Answer the questions below
1fill in blank
easyComplete the code to define MLOps as a practice.
MLOps
MLOps is a set of practices that combines machine learning and [1] to deploy and maintain models.
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Attempts:
3 left
💡 Hint
Common Mistakes
Choosing unrelated fields like marketing or graphic design.
✗ Incorrect
MLOps combines machine learning with software engineering to manage model deployment and maintenance.
2fill in blank
mediumComplete the sentence to explain MLOps goals.
MLOps
The main goal of MLOps is to automate the [1] and deployment of machine learning models.
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Attempts:
3 left
💡 Hint
Common Mistakes
Confusing testing or monitoring as the main automation goal.
✗ Incorrect
MLOps automates training and deployment to speed up model updates and reliability.
3fill in blank
hardFix the error in the MLOps pipeline step.
MLOps
In MLOps, [1] is used to track model versions and changes.
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Attempts:
3 left
💡 Hint
Common Mistakes
Choosing container or orchestration tools instead of version control.
✗ Incorrect
Git is used to track versions and changes in code and models in MLOps.
4fill in blank
hardFill both blanks to describe MLOps components.
MLOps
MLOps involves [1] for model building and [2] for model deployment.
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Attempts:
3 left
💡 Hint
Common Mistakes
Mixing data tasks with deployment tasks.
✗ Incorrect
CI/CD automates building and testing, while containerization packages models for deployment.
5fill in blank
hardFill all three blanks to complete the MLOps workflow.
MLOps
The workflow includes [1] data, [2] models, and [3] performance after deployment.
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Attempts:
3 left
💡 Hint
Common Mistakes
Confusing testing with monitoring or skipping data preparation.
✗ Incorrect
MLOps workflow starts with preparing data, training models, and monitoring their performance.