Databricks Machine Learning Associate Question 36
Single answerYou are tasked with creating a cluster in Databricks for training a machine learning model. The cluster should include pre-configured machine learning libraries such as TensorFlow, PyTorch, and scikit-learn to avoid manual installation of these dependencies. Which Databricks Runtime version should you select when creating the cluster?
- A
Databricks Runtime
- B
Databricks Runtime for Machine Learning
- C
Databricks Runtime with GPU Support
- D
Databricks Runtime for Genomics
Show answer and explanation
Correct answer: B
Explanation
The Databricks Runtime for Machine Learning is specifically designed for machine learning workflows. It comes pre-configured with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn, saving time and effort when creating clusters for ML tasks. This makes it the most appropriate runtime for the given scenario.
- A. Incorrect.
Databricks Runtime is a general-purpose runtime but does not include pre-installed machine learning libraries. Therefore, it is not the correct choice for this scenario.
- B. Correct.
Databricks Runtime for Machine Learning is specifically designed for machine learning workflows and includes pre-configured libraries such as TensorFlow, PyTorch, and scikit-learn, making it the correct choice.
- C. Incorrect.
Databricks Runtime with GPU Support includes GPU acceleration but does not specifically pre-install machine learning libraries by default. It is not the best option for this specific requirement.
- D. Incorrect.
Databricks Runtime for Genomics is intended for genomics workloads and does not include pre-installed general-purpose machine learning libraries. It is not suitable for this use case.