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Answer: 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.
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: 1. **Script Development**: Crafting a script that utilizes the Databricks CLI automates job creation, promoting consistency and repeatability. 2. **Databricks CLI**: This tool offers a command-line interface for Databricks services, simplifying task automation like job creation and scheduling. 3. **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. 4. **Cron Schedule**: Defining a cron schedule ensures the job runs nightly at the intended time, automating the process effectively. 5. **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.
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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?
A
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.
B
Set up a Jenkins pipeline that calls the Databricks CLI to send Spark jobs via the databricks runs submit command every night.
C
Use the CLI to manually execute the databricks jobs run-now command within your CI/CD pipeline at a set time each night.
D
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.