Section 5 (Production Pipelines), 33. Jobs Orchestration
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Questions and Answers

Databricks allows scheduling only a single task as part of a job.

False

The first task in the example job is to execute a notebook that processes the data through a series of tables.

False

In the setup process, it's recommended to use job clusters for production jobs.

True

The path for the first task's notebook is selected from the workspace.

<p>True</p> Signup and view all the answers

The Depends On field allows you to specify the order of task execution.

<p>True</p> Signup and view all the answers

The second task in the job example is named 'Show Pipeline Results'.

<p>False</p> Signup and view all the answers

The cluster dropdown for the third task uses the Demo Cluster.

<p>True</p> Signup and view all the answers

The notebook for the third task only shows the content of the input data without querying any tables.

<p>False</p> Signup and view all the answers

The cron syntax can be edited in the schedule section for a job.

<p>True</p> Signup and view all the answers

DLT pipelines scheduled as tasks directly render the results in the runs UI.

<p>False</p> Signup and view all the answers

Only finished jobs can be viewed in the Active Runs section.

<p>False</p> Signup and view all the answers

Email notifications can be set for job start, success, and failure.

<p>True</p> Signup and view all the answers

A user can change the owner of a job to a group of users.

<p>False</p> Signup and view all the answers

The Repair Run button allows rerunning only the tasks that have failed.

<p>True</p> Signup and view all the answers

A job can fail due to querying a non-existent table.

<p>True</p> Signup and view all the answers

What is the primary purpose of the first task in the multi-task job?

<p>To land a new batch of data in the source directory.</p> Signup and view all the answers

Which of the following is true regarding the job clusters used in production jobs?

<p>They allow for cost savings in production environments.</p> Signup and view all the answers

What configuration option defaults to the previously defined task in a multi-task job?

<p>Depends On</p> Signup and view all the answers

When creating the second task in the job, what type is selected?

<p>Delta Live Tables Pipeline</p> Signup and view all the answers

For the third task that displays pipeline results, what is the main function of the corresponding notebook?

<p>To show the content of the pipeline storage location and query the gold table.</p> Signup and view all the answers

What must you do in order to successfully create a multi-task job in Databricks?

<p>Enter a name for the job and configure at least one task.</p> Signup and view all the answers

What is indicated by the 'Create Job' button in the jobs tab?

<p>It initiates the job creation process.</p> Signup and view all the answers

What is indicated by the task named 'DTL' in the multi-task job?

<p>Delta Live Tables Pipeline.</p> Signup and view all the answers

What is the purpose of the Email Notifications feature in job scheduling?

<p>To alert users on the job's start, success, and failure</p> Signup and view all the answers

What happens when you click on the Repair Run button after a job has failed?

<p>It allows you to rerun only the failed tasks</p> Signup and view all the answers

What is the role of the 'Edit Schedule' button in the job schedule section?

<p>To configure the scheduling options and trigger type</p> Signup and view all the answers

What occurs when a DLT pipeline is scheduled as a task within a job?

<p>It does not display results directly in the runs UI</p> Signup and view all the answers

Which section would you check to see the results of the completed jobs?

<p>Completed Runs section</p> Signup and view all the answers

When correcting a programming error in a job, which statement is true regarding the process?

<p>You can only rerun the specific task where the error occurred</p> Signup and view all the answers

Which statement accurately describes the concept of job ownership in scheduling?

<p>Jobs can be owned by individual users or changed to another user</p> Signup and view all the answers

Match the following job features with their description:

<p>Edit Schedule = Change the trigger type to scheduled Repair Run = Rerun only the tasks that have failed Email Notifications = Receive alerts on job's status Active Runs = Track currently running jobs</p> Signup and view all the answers

Match the following task statuses with their definitions:

<p>Active Runs = Jobs that are currently executing Completed Runs = Jobs that have successfully finished Failed Runs = Jobs that encountered an error during execution Cancelled Runs = Jobs that were stopped before completion</p> Signup and view all the answers

Match the following task types with their characteristics:

<p>DLT Task = Does not directly show results in the runs UI Notebook Task = Processes data through specified queries Scheduled Task = Can be configured with cron syntax Notification Task = Alerts the user about task outcomes</p> Signup and view all the answers

Match the following error scenarios with their descriptions:

<p>Table Not Found = Error due to querying a nonexistent table Pipeline Failure = General failure in executing the pipeline Permission Denied = User lacks rights to run the job Invalid Syntax = Error in the job configuration syntax</p> Signup and view all the answers

Match the following user permissions with their functionality:

<p>Run Job = Allows execution of the job Manage Job = Permits editing and configurations Review Job = Enables checking job reports and logs Change Owner = Allows transferring the job to another user</p> Signup and view all the answers

Match the following job components with their functions:

<p>Runs Tab = Displays the status of job executions Schedule Section = Configures when the job will run Output Log = Shows detailed results of task executions Job Configuration = Sets permissions and notifications for the job</p> Signup and view all the answers

Match the following steps with their outcomes:

<p>Clicking Run Now = Starts the execution of the job Editing Cron Syntax = Modifies the scheduling of the job Fixing Table Name = Corrects errors related to nonexistent tables Terminating Pipeline Cluster = Concludes the usage of the job's resources</p> Signup and view all the answers

Match each task type with its description in the multi-task job:

<p>Notebook = Executes a script to process data and perform operations Delta Live Tables Pipeline = Processes data through a series of tables in real-time Pipeline Results = Shows the contents of the pipeline storage location Database Query = Retrieves specific data from the tables</p> Signup and view all the answers

Match the following task names with their intended purpose:

<p>Land_New_Data = Load a new batch of data into the source directory DLT = Run the Delta Live Tables pipeline Pipeline Results = Display the results of the pipeline Cleanup = Remove old data from the storage location</p> Signup and view all the answers

Match the actions to the corresponding step in creating a multi-task job:

<p>Click Create Job = Initiate the process of setting up a new job Add a new task = Incorporate additional tasks into the job Select the notebook path = Specify the location of the script to run Set task dependencies = Define the order of task execution</p> Signup and view all the answers

Match each component of task creation with its appropriate action:

<p>Task Name = Designate a unique identifier for the task Task Type = Select the kind of operation the task will perform Depends On = Establish the prerequisite task for execution Cluster Dropdown = Choose the resource cluster for task processing</p> Signup and view all the answers

Match the following descriptions with the correct task status:

<p>Executing = The task is currently in progress Succeeded = The task completed without errors Failed = The task encountered an error and did not complete Pending = The task is waiting for its dependencies to finish</p> Signup and view all the answers

Match the following job configuration options with their explanations:

<p>Job Name = Main identifier for the job in the system Pipeline Selection = Choosing the pipeline to execute in the job Cluster Type = Selection between job clusters and all-purpose clusters Task Dependency = Defining the sequence of task execution</p> Signup and view all the answers

Match each term related to job management with its definition:

<p>Email Notifications = Alerts sent upon job start, success, or failure Repair Run Button = Allows rerunning failed tasks only Active Runs Section = Displays ongoing job executions Workflow Tab = Navigation area for job management features</p> Signup and view all the answers

Match the following notebooks with their functionalities:

<p>Land New Data Notebook = Ingests new data into the source directory Delta Live Tables Notebook = Processes data through defined tables Pipeline Results Notebook = Queries and displays results from the pipeline Data Cleanup Notebook = Removes outdated or unnecessary data</p> Signup and view all the answers

Study Notes

Job Orchestration in Databricks

  • Databricks allows for scheduling multiple tasks as part of a job.
  • A multi-task job can consist of various processes including data ingestion, pipeline execution, and results presentation.

Creating a Multi-Task Job

  • Navigate to the workflow tabs on the sidebar and click the Create Job button in the jobs tab.
  • Set a name for the job, for example, "Bookstore Demo Job."
  • Configure the first task:
    • Name: Land_New_Data
    • Type: Notebook
    • Select the notebook from the workspace.
    • Choose the Demo Cluster for execution.

Adding Tasks and Dependencies

  • Add subsequent tasks by clicking the blue circle with the (+) sign.
  • Configure the second task:
    • Name: DLT
    • Type: Delta Live Tables Pipeline
    • Select the demo pipeline created previously.
    • The Depends On field remains as Land_New_Data by default.
  • Configure the third task:
    • Name: Pipeline Results
    • Type: Notebook
    • Select the results notebook from the previous session.
    • The Depends On field defaults to the DLT task.

Job Configuration

  • The job configuration includes a scheduling section, where trigger types can be set, such as Scheduled.
  • Email notifications can be configured for job alerts on start, success, and failure.
  • Permissions allow control over who can manage or run the job and changing the job owner.

Running and Monitoring Jobs

  • Use the Run Now button to start the job.
  • Job runs can be monitored under the "Runs" tab, with active and completed runs featured.
  • Visualization updates in real-time during job execution reflecting task status.

Handling Job Failures

  • If a task fails due to bad code (e.g., querying a non-existent table), the job will show a failure status.
  • The Pipeline Results task will indicate specific errors (e.g., Table Not Found).
  • Errors can be corrected, and a Repair Run option is available to rerun only the failed tasks.

Finalizing the Process

  • After repairs, the job can be successfully rerun to complete the intended tasks.
  • It's important to remember to terminate the pipeline cluster after job completion.

Job Orchestration in Databricks

  • Databricks allows for scheduling multiple tasks as part of a job.
  • A multi-task job can consist of various processes including data ingestion, pipeline execution, and results presentation.

Creating a Multi-Task Job

  • Navigate to the workflow tabs on the sidebar and click the Create Job button in the jobs tab.
  • Set a name for the job, for example, "Bookstore Demo Job."
  • Configure the first task:
    • Name: Land_New_Data
    • Type: Notebook
    • Select the notebook from the workspace.
    • Choose the Demo Cluster for execution.

Adding Tasks and Dependencies

  • Add subsequent tasks by clicking the blue circle with the (+) sign.
  • Configure the second task:
    • Name: DLT
    • Type: Delta Live Tables Pipeline
    • Select the demo pipeline created previously.
    • The Depends On field remains as Land_New_Data by default.
  • Configure the third task:
    • Name: Pipeline Results
    • Type: Notebook
    • Select the results notebook from the previous session.
    • The Depends On field defaults to the DLT task.

Job Configuration

  • The job configuration includes a scheduling section, where trigger types can be set, such as Scheduled.
  • Email notifications can be configured for job alerts on start, success, and failure.
  • Permissions allow control over who can manage or run the job and changing the job owner.

Running and Monitoring Jobs

  • Use the Run Now button to start the job.
  • Job runs can be monitored under the "Runs" tab, with active and completed runs featured.
  • Visualization updates in real-time during job execution reflecting task status.

Handling Job Failures

  • If a task fails due to bad code (e.g., querying a non-existent table), the job will show a failure status.
  • The Pipeline Results task will indicate specific errors (e.g., Table Not Found).
  • Errors can be corrected, and a Repair Run option is available to rerun only the failed tasks.

Finalizing the Process

  • After repairs, the job can be successfully rerun to complete the intended tasks.
  • It's important to remember to terminate the pipeline cluster after job completion.

Job Orchestration in Databricks

  • Databricks allows for scheduling multiple tasks as part of a job.
  • A multi-task job can consist of various processes including data ingestion, pipeline execution, and results presentation.

Creating a Multi-Task Job

  • Navigate to the workflow tabs on the sidebar and click the Create Job button in the jobs tab.
  • Set a name for the job, for example, "Bookstore Demo Job."
  • Configure the first task:
    • Name: Land_New_Data
    • Type: Notebook
    • Select the notebook from the workspace.
    • Choose the Demo Cluster for execution.

Adding Tasks and Dependencies

  • Add subsequent tasks by clicking the blue circle with the (+) sign.
  • Configure the second task:
    • Name: DLT
    • Type: Delta Live Tables Pipeline
    • Select the demo pipeline created previously.
    • The Depends On field remains as Land_New_Data by default.
  • Configure the third task:
    • Name: Pipeline Results
    • Type: Notebook
    • Select the results notebook from the previous session.
    • The Depends On field defaults to the DLT task.

Job Configuration

  • The job configuration includes a scheduling section, where trigger types can be set, such as Scheduled.
  • Email notifications can be configured for job alerts on start, success, and failure.
  • Permissions allow control over who can manage or run the job and changing the job owner.

Running and Monitoring Jobs

  • Use the Run Now button to start the job.
  • Job runs can be monitored under the "Runs" tab, with active and completed runs featured.
  • Visualization updates in real-time during job execution reflecting task status.

Handling Job Failures

  • If a task fails due to bad code (e.g., querying a non-existent table), the job will show a failure status.
  • The Pipeline Results task will indicate specific errors (e.g., Table Not Found).
  • Errors can be corrected, and a Repair Run option is available to rerun only the failed tasks.

Finalizing the Process

  • After repairs, the job can be successfully rerun to complete the intended tasks.
  • It's important to remember to terminate the pipeline cluster after job completion.

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Description

This quiz covers the orchestration of jobs using Databricks. It focuses on creating a multi-task job with three tasks: executing a notebook, running a Delta Live Tables pipeline, and displaying the pipeline results. Test your understanding of task scheduling and data processing within Databricks.

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