Databricks-Certified-Professional-Data-Engineer Exam Dumps : Databricks Certified Data Engineer Professional Exam

The job_id is returned in this field.

The job_id and number of times the job has been are concatenated and returned.

The number of times the job definition has been run in the workspace.

The globally unique ID of the newly triggered run.

It is retained until you export or delete job run logs

It is retained for 30 days, during which time you can deliver job run logs to DBFS or S3

t is retained for 60 days, during which you can export notebook run results to HTML

It is retained for 60 days, after which logs are archived

It is retained for 90 days or until the run-id is re-used through custom run configuration

Databricks runs HDFS on cloud volume storage; as such, cloud virtual machines must be deployed in the region where the data is stored.

Databricks workspaces do not rely on any regional infrastructure; as such, the decision should be made based upon what is most convenient for the workspace administrator.

Cross-region reads and writes can incur significant costs and latency; whenever possible, compute should be deployed in the same region the data is stored.

Databricks leverages user workstations as the driver during interactive development; as such, users should always use a workspace deployed in a region they are physically near.

Databricks notebooks send all executable code from the user's browser to virtual machines over the open internet; whenever possible, choosing a workspace region near the end users is the most secure.