Databricks Certified Data Engineer - Professional

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Explanation:

Option A stands out as the optimal choice for automating the deployment and scheduling of a batch data processing job with the Databricks CLI. Here's why:

Script Development: Crafting a script that utilizes the Databricks CLI automates job creation, promoting consistency and repeatability.
Databricks CLI: This tool offers a command-line interface for Databricks services, simplifying task automation like job creation and scheduling.
Job Creation: The databricks jobs create command facilitates setting up a new job in Databricks, including specifying the notebook path and cron schedule for timely execution.
Cron Schedule: Defining a cron schedule ensures the job runs nightly at the intended time, automating the process effectively.
CI/CD Integration: Embedding the script into your CI/CD pipeline merges the job deployment and scheduling with your software development workflow, ensuring reliable execution within your automated deployment process.

In summary, Option A delivers a thorough and effective method for automating batch data processing job deployment and scheduling with the Databricks CLI, guaranteeing smooth integration with existing CI/CD pipelines.

Explanation:

Option A stands out as the optimal choice for automating the deployment and scheduling of a batch data processing job with the Databricks CLI. Here's why:

Script Development: Crafting a script that utilizes the Databricks CLI automates job creation, promoting consistency and repeatability.
Databricks CLI: This tool offers a command-line interface for Databricks services, simplifying task automation like job creation and scheduling.
Job Creation: The databricks jobs create command facilitates setting up a new job in Databricks, including specifying the notebook path and cron schedule for timely execution.
Cron Schedule: Defining a cron schedule ensures the job runs nightly at the intended time, automating the process effectively.
CI/CD Integration: Embedding the script into your CI/CD pipeline merges the job deployment and scheduling with your software development workflow, ensuring reliable execution within your automated deployment process.

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How can you leverage the Databricks CLI to automate the deployment and scheduling of a nightly batch data processing job, ensuring it works smoothly with your current CI/CD pipelines?

Real Exam

Develop a script that employs the Databricks CLI to establish a new job using the databricks jobs create command, detailing the notebook path and cron schedule.

53.5%

Set up a Jenkins pipeline that calls the Databricks CLI to send Spark jobs via the databricks runs submit command every night.

14.0%

Use the CLI to manually execute the databricks jobs run-now command within your CI/CD pipeline at a set time each night.

13.2%

First configure the Databricks job through the UI, then use the CLI to initiate the job with databricks jobs run-now, embedding this command into a cron job on an external server.

19.4%