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 20,2025.
- Exam Code: Databricks Certified Data Engineer Professional
- Exam Name: Databricks Certified Data Engineer Professional Exam
- Certification Provider: Databricks
- Latest update: Dec 20,2025
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
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
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
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
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
Data engineering team is required to share the data with Data science team and both the teams are using different workspaces in the same organization which of the following techniques can be used to simplify sharing data across?
*Please note the question is asking how data is shared within an organization across multiple workspaces.
- A . Data Sharing
- B . Unity Catalog
- C . DELTA lake
- D . Use a single storage location
- E . DELTA LIVE Pipelines
What is the main difference between the silver layer and the gold layer in medallion architecture?
- A . Silver may contain aggregated data
- B . Gold may contain aggregated data
- C . Data quality checks are applied in gold
- D . Silver is a copy of bronze data
- E . God is a copy of silver data
What is the main difference between the silver layer and the gold layer in medallion architecture?
- A . Silver may contain aggregated data
- B . Gold may contain aggregated data
- C . Data quality checks are applied in gold
- D . Silver is a copy of bronze data
- E . God is a copy of silver data
What is the main difference between the silver layer and the gold layer in medallion architecture?
- A . Silver may contain aggregated data
- B . Gold may contain aggregated data
- C . Data quality checks are applied in gold
- D . Silver is a copy of bronze data
- E . God is a copy of silver data
What is the main difference between the silver layer and the gold layer in medallion architecture?
- A . Silver may contain aggregated data
- B . Gold may contain aggregated data
- C . Data quality checks are applied in gold
- D . Silver is a copy of bronze data
- E . God is a copy of silver data
Latest Databricks Certified Data Engineer Professional Dumps Valid Version with 278 Q&As
Latest And Valid Q&A | Instant Download | Once Fail, Full Refund
