Databricks Machine Learning Professional exam dumps

Databricks Machine Learning Professional practice question 101 of 280

Databricks Certified Machine Learning Professional. Professional level, Databricks. Free question with the correct answer and a full explanation.

Databricks Machine Learning Professional Question 101

Select 3

You are working on a machine learning workflow in Databricks where you need to run a batch inference job on a large dataset. You are considering whether to use a Job cluster or an all-purpose cluster. What are the advantages of using a Job cluster for this task?

  1. A

    Job clusters automatically terminate after the job is complete, reducing costs.

  2. B

    Job clusters provide better runtime performance compared to all-purpose clusters for all workloads.

  3. C

    Job clusters are dedicated to specific tasks, ensuring no interference from other workloads.

  4. D

    Job clusters allow for reusable cluster configurations for multiple interactive users.

  5. E

    Job clusters can be customized for each job, enabling optimized resource utilization.

Show answer and explanation

Correct answers: A, C, E

Explanation

Job clusters in Databricks are designed for single-use, ephemeral workloads like batch processing or scheduled tasks. They offer benefits such as automatic termination, task isolation, and customizable configurations, making them cost-effective and resource-efficient for job-specific tasks. Unlike all-purpose clusters, they are not intended for interactive or multi-user workflows.

  • A. Correct.

    Correct: Job clusters automatically terminate once the job finishes, which helps reduce unnecessary costs by not keeping the cluster running when it is no longer needed.

  • B. Incorrect.

    Incorrect: While Job clusters are optimized for job execution, they do not inherently guarantee better performance for all workloads compared to all-purpose clusters. Performance depends on the workload and cluster configuration.

  • C. Correct.

    Correct: Job clusters are isolated and dedicated to the specific job they are created for, avoiding interference from other workloads, unlike all-purpose clusters which may host multiple concurrent tasks.

  • D. Incorrect.

    Incorrect: Job clusters are typically ephemeral and designed for single-use, meaning they are not intended for reuse across multiple users or sessions. All-purpose clusters are better suited for this purpose.

  • E. Correct.

    Correct: Job clusters can be configured specifically for the requirements of a given job, allowing you to allocate resources optimally and avoid over- or under-provisioning.

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