MLflow Model Registry in MLOps - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to register a model in MLflow Model Registry.

MLOps

mlflow.register_model(model_uri, [1])

Drag options to blanks, or click blank then click option'

Amodel_version

Brun_id

Cmodel_name

Dartifact_path

Attempts:

3 left

💡 Hint

Common Mistakes

Using model_version instead of model_name

Confusing run_id with model_name

The register_model function requires the model_name to register the model in the registry.

2fill in blank

medium

Complete the code to transition a model version to 'Production' stage.

MLOps

client.transition_model_version_stage(name, version, [1])

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ANone

BArchived

CStaging

DProduction

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Archived' instead of 'Production'

Using 'None' which is invalid

The transition_model_version_stage method requires the target stage, here 'Production', to move the model version to production.

3fill in blank

hard

Fix the error in the code to fetch the latest model version in 'Staging' stage.

MLOps

latest_version = client.get_latest_versions(name, [1])[0]

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Astages=['Archived']

Bstages=['Staging']

Cstages=['Production']

Dstages=['None']

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Production' instead of 'Staging'

Using 'None' which is invalid

The get_latest_versions method requires the stages parameter to filter versions. To get the latest in 'Staging', use stages=['Staging'].

4fill in blank

hard

Fill both blanks to create a dictionary of model versions and their stages for a registered model.

MLOps

versions = {v.version: v.[1] for v in client.get_latest_versions([2])}

Drag options to blanks, or click blank then click option'

Acurrent_stage

Bmodel_name

Cname

Dstage

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'stage' instead of 'current_stage'

Using 'model_name' instead of 'name' in the method call

Each version object has a current_stage attribute. The get_latest_versions method requires the model's name parameter.

5fill in blank

hard

Fill all three blanks to update the description of a specific model version.

MLOps

client.update_model_version(name=[1], version=[2], description=[3])

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A"MyModel"

B3

C"Updated description for version 3"

D"NewModel"

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong model name string

Passing version as a string instead of an integer

Not quoting the description string

The update_model_version method requires the model name as a string, the version number, and the new description string.