Databricks Certified Machine Learning Associate

Validates ability to use Databricks for the full ML lifecycle.

Which open-source platform integrated into Databricks manages the ML lifecycle?

Respuesta : MLflow.

Handles experiment tracking, model packaging, versioning, and deployment orchestration.

What is a 'Delta Table' in Databricks?

Respuesta : An optimized storage layer that brings ACID transactions and reliability to Apache Spark.

Provides the high-performance data foundation necessary for reliable machine learning pipelines.

What is the primary benefit of Databricks AutoML?

Respuesta : It automatically builds models and generates the underlying Python notebooks for review.

Empowers data scientists to quickly establish a performance baseline for new datasets.

How do you standardize and share features across different ML projects in Databricks?

Respuesta : By using the Databricks Feature Store.

Ensures that features are engineered once and applied consistently in both training and production.

Which core engine powers data processing and machine learning in Databricks?

Respuesta : Apache Spark.

The distributed computing framework designed for fast processing of large-scale datasets.

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