Deploy and maintain data pipelines and workloads Questions
Practice questions for Deploy and maintain data pipelines and workloads topic in Microsoft Certified: Azure Databricks Data Engineer Associate. 59 questions covering this domain.
A developer wants to build, deploy, and run bundles from a local machine. Which prerequisite combination is required?
Which Run if condition executes a downstream task after all dependencies have run regardless of whether they succeeded or failed?
A Lakeflow Job task should check out code directly from a remote repository at run time instead of relying on workspace files. Which feature should be...
A streaming job has backlog thresholds configured, but backlog notifications never arrive. Which code pattern should be removed from the job logic?
A job sometimes finishes in the state Succeeded with failures, and the operator still wants a notification for those runs. Which notification type mus...
In a Terraform project, which provider source string should be declared for the Databricks Terraform provider?
Which set describes the minimum required elements of a Lakeflow Job?
A platform team wants one versioned project artifact that includes source files, Databricks resource definitions, and tests, and that can be deployed ...
Which deployment approach stores Databricks project metadata in YAML files and uses the Databricks CLI to validate and deploy resources?
A downstream cleanup task uses the Run if condition At least one failed. What status does the task receive if none of its dependencies fail?
Which command is the fastest way to create a new bundle project from a Databricks-provided template?
A job is scheduled every five minutes, but each run often lasts 12 minutes. The maximum concurrent runs setting remains at its default and queueing is...
A team wants to receive a notification after every failed task attempt in a job that retries tasks automatically. What should they configure?
What is the primary way the Databricks CLI interacts with Azure Databricks?
When queueing is enabled for a job and capacity is temporarily unavailable, how long can a run remain queued?
What is the default maximum number of concurrent runs for a newly created job?
A team uses Databricks Asset Bundles for CI/CD and wants different target environments (dev/staging/prod) with overrides per environment. Which bundle...
A team needs each pull request branch to deploy a temporary Databricks environment for tests, then clean it up on merge. Which CI/CD approach is docum...
A job runs on a job cluster (newly created per run) instead of an all-purpose cluster. Which advantage is documented?
Which task retry option is documented for Lakeflow Job tasks to handle transient failures?
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