Databricks Databricks Certified Data Engineer Professional Databricks Certified Data Engineer Professional Exam Online Training
Databricks Databricks Certified Data Engineer Professional Online Training
The questions for Databricks Certified Data Engineer Professional were last updated at Dec 19,2025.
- Exam Code: Databricks Certified Data Engineer Professional
- Exam Name: Databricks Certified Data Engineer Professional Exam
- Certification Provider: Databricks
- Latest update: Dec 19,2025
Question #277
ELSE (temp C 33 ) * 5/9 5.END
Question #277
ELSE (temp C 33 ) * 5/9 5.END
Question #283
What steps need to be taken to set up a DELTA LIVE PIPELINE as a job using the workspace UI?
- A . DELTA LIVE TABLES do not support job cluster
- B . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the notebook
- C . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the pipeline JSON file
- D . Use Pipeline creation UI, select a new pipeline and job cluster
Question #283
What steps need to be taken to set up a DELTA LIVE PIPELINE as a job using the workspace UI?
- A . DELTA LIVE TABLES do not support job cluster
- B . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the notebook
- C . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the pipeline JSON file
- D . Use Pipeline creation UI, select a new pipeline and job cluster
Question #283
What steps need to be taken to set up a DELTA LIVE PIPELINE as a job using the workspace UI?
- A . DELTA LIVE TABLES do not support job cluster
- B . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the notebook
- C . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the pipeline JSON file
- D . Use Pipeline creation UI, select a new pipeline and job cluster
Question #283
What steps need to be taken to set up a DELTA LIVE PIPELINE as a job using the workspace UI?
- A . DELTA LIVE TABLES do not support job cluster
- B . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the notebook
- C . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the pipeline JSON file
- D . Use Pipeline creation UI, select a new pipeline and job cluster
Question #283
What steps need to be taken to set up a DELTA LIVE PIPELINE as a job using the workspace UI?
- A . DELTA LIVE TABLES do not support job cluster
- B . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the notebook
- C . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the pipeline JSON file
- D . Use Pipeline creation UI, select a new pipeline and job cluster
Question #283
What steps need to be taken to set up a DELTA LIVE PIPELINE as a job using the workspace UI?
- A . DELTA LIVE TABLES do not support job cluster
- B . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the notebook
- C . Select Workflows UI and Delta live tables tab, under task type select Delta live tables pipeline and select the pipeline JSON file
- D . Use Pipeline creation UI, select a new pipeline and job cluster
Question #289
What is the purpose of the silver layer in a Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full, unprocessed history of data
- C . Eliminates duplicate data, quarantines bad data
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
Question #289
What is the purpose of the silver layer in a Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full, unprocessed history of data
- C . Eliminates duplicate data, quarantines bad data
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
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