Databricks Essentials Questions with Verified
Correct Answers
What is Databricks?
A unified Data and AI platform that helps organizations ingest, store, process, analyze,
govern, and build AI applications using their data.
What is the Lakehouse?
A data architecture that combines the flexibility and scalability of a data lake with the
reliability and performance of a data warehouse.
What problem does the Lakehouse solve?
It reduces the need to maintain separate systems for data engineering, data warehousing, data
science, and AI by bringing these workloads together on one platform.
What is a data lake?
A place to store large amounts of data in its original or raw form, including structured, semi-
structured, and unstructured data.
What is a data warehouse?
A system designed primarily for analyzing structured business data using SQL.
What is the difference between a data lake and a data warehouse?
A data lake can store many types of raw data, while a data warehouse is traditionally
optimized for structured data and analytics.
Why is the Lakehouse important?
, It allows the same underlying data to support data engineering, SQL analytics, BI, machine
learning, and AI.
What is Delta Lake?
An open storage layer that adds reliability and data management capabilities to data stored in
a data lake.
Why does Databricks use Delta Lake?
Delta provides reliability and performance features while allowing data to remain on open
cloud storage.
What is an open storage format?
A format that is not locked to one proprietary platform, making data easier to access and
share across technologies.
What is the Medallion Architecture?
A common Lakehouse pattern that organizes data into Bronze, Silver, and Gold layers.
What is Bronze data?
Raw or lightly processed data brought into the Lakehouse from source systems.
What is Silver data?
Cleaned, validated, and transformed data that is ready for more advanced analysis.
What is Gold data?
Curated business-ready data designed for analytics, reporting, BI, or downstream
applications.
What is ETL?
Correct Answers
What is Databricks?
A unified Data and AI platform that helps organizations ingest, store, process, analyze,
govern, and build AI applications using their data.
What is the Lakehouse?
A data architecture that combines the flexibility and scalability of a data lake with the
reliability and performance of a data warehouse.
What problem does the Lakehouse solve?
It reduces the need to maintain separate systems for data engineering, data warehousing, data
science, and AI by bringing these workloads together on one platform.
What is a data lake?
A place to store large amounts of data in its original or raw form, including structured, semi-
structured, and unstructured data.
What is a data warehouse?
A system designed primarily for analyzing structured business data using SQL.
What is the difference between a data lake and a data warehouse?
A data lake can store many types of raw data, while a data warehouse is traditionally
optimized for structured data and analytics.
Why is the Lakehouse important?
, It allows the same underlying data to support data engineering, SQL analytics, BI, machine
learning, and AI.
What is Delta Lake?
An open storage layer that adds reliability and data management capabilities to data stored in
a data lake.
Why does Databricks use Delta Lake?
Delta provides reliability and performance features while allowing data to remain on open
cloud storage.
What is an open storage format?
A format that is not locked to one proprietary platform, making data easier to access and
share across technologies.
What is the Medallion Architecture?
A common Lakehouse pattern that organizes data into Bronze, Silver, and Gold layers.
What is Bronze data?
Raw or lightly processed data brought into the Lakehouse from source systems.
What is Silver data?
Cleaned, validated, and transformed data that is ready for more advanced analysis.
What is Gold data?
Curated business-ready data designed for analytics, reporting, BI, or downstream
applications.
What is ETL?
