Module assessment

3 minutes

Which of the following best describes the role of LLMOps in the context of Azure Databricks?

Automating the deployment and scaling of traditional machine learning models

Managing the lifecycle of language models, including training, deployment, monitoring, and governance.

Optimizing SQL queries within Azure Databricks.

In the LLMOps workflow within Azure Databricks, which tool or framework is primarily used for monitoring and logging the performance of large language models?

MLflow

Delta Lake

Apache Spark

When you implement LLMOps with Azure Databricks, which of the following considerations is key for ensuring responsible AI practices?

Minimizing the size of the model to reduce costs.

Using Unity Catalog for data governance and access control.

Running models only on-demand to save compute resources.

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