Ultimate access to all questions.
Answer-first summary for fast verification
Answer: A standard cluster is preferred when the project involves heavy computation and can be parallelized, such as training large-scale machine learning models.
A standard cluster is preferred over a single-node cluster when the project involves heavy computation that can be parallelized, such as training large-scale machine learning models. This is because a standard cluster can distribute the workload across multiple nodes, leading to faster processing times. On the other hand, a single-node cluster is preferred when the project requires high interactivity and low latency, such as during the exploratory data analysis phase, where the overhead of distributed processing is not necessary.
Author: LeetQuiz Editorial Team
In a scenario where you are working on a large-scale machine learning project that requires distributed processing, explain the factors that would lead you to choose a standard cluster over a single-node cluster in Databricks, and vice versa.
A
A single-node cluster is preferred when the project requires high interactivity and low latency, such as during the exploratory data analysis phase.
B
A standard cluster is preferred when the project involves heavy computation and can be parallelized, such as training large-scale machine learning models.
C
A single-node cluster is always preferred due to its simplicity and ease of use, regardless of the project requirements.
D
A standard cluster is always the best choice for all machine learning projects due to its ability to handle distributed processing.
No comments yet.