What is a key characteristic of a No Isolation Shared cluster?

Prepare for the Databricks Machine Learning Associate Exam with our test. Access flashcards, multiple choice questions, hints, and explanations for comprehensive preparation.

A No Isolation Shared cluster is characterized by its accessibility to multiple users simultaneously, which is central to its design for collaborative work. A defining feature of such a cluster is that it requires at least one Spark worker node to operate. Without Spark worker nodes, the cluster would not be able to execute tasks or run jobs, rendering it non-functional.

The notion of sharing means that multiple users can run jobs, share resources, and access data concurrently, contrasting with isolated clusters, which are dedicated to specific users or applications. While the requirement for worker nodes is a technical necessity, it highlights the practical aspect of resource availability that underpins the cluster's multi-user capability.

Other characteristics of a No Isolation Shared cluster include the absence of strict access control, allowing users to start or create clusters freely without the need for elevated permissions. This openness facilitates collaboration among users, but does not strictly regulate cluster usage compared to isolated clusters.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy