DATABRICKS LAKEHOUSE BUNDLED EXAMS
CERTIFICATION EVALUATION 2026 FULL
QUESTIONS AND CORRECT ANSWERS
◉ What are Workspaces?
Answer: A workspace is an environment for accessing all of your
Databricks assets.
◉ What does a Workspace organize?
Answer: objects (notebooks, libraries, dashboards, and experiments)
into folders and provides access to data objects and computational
resources.
◉ What is Unity Catalog
Answer: A unified governance solution for all data and AI assets
including files, tables, and machine learning models in your
lakehouse on any cloud.
It offers improved Lakehouse data object governance and
organization capabilities for data segregation.
◉ NEED TO DIG DEEPER TO UNDERSTAND
,Describe how a specific capability of the Databricks Lakehouse
Platform supports a data streaming pattern
Which of the following correctly describes how a specific capability
of the Databricks Lakehouse Platform supports a data streaming
pattern? Select three responses.
☐ Structured Streaming enables stream-based machine learning
inference.
☐ Databricks Workflows automatically passes data from task to task
in regular microbatches.
☐ MLflow ingests its automatic experiment tracking data into a
stream for continuous monitoring.
Answer: - Delta Live Tables processes ETL pipelines on streaming
data with advanced monitoring mechanisms.
- Auto Loader continuously and incrementally ingests streaming
data.
◉ List these relational entities in order from largest (most coarse) to
smallest (most granular) within their hierarchy:
- Schema (Database)
- Metastore
, - Catalog
- Table
Answer: Metastore → Catalog → Schema (Database) → Table
◉ What is a schema (general)
Answer: the specification of the records in the database e.g. the
schema can say a record will consist of:
PersonID (unique index number),
FamilyName (40 chars),
FirstName (40 chars),
DateOfBirth (Date)
◉ What is a database
Answer: consisting of one or more Tables or records, actual data
following a Schema of sort, plus other things (stored queries, etc.).
◉ What does volumes provide governance for?
Answer: Non-tabular data.
◉ What is metadata
Answer: Data about data
CERTIFICATION EVALUATION 2026 FULL
QUESTIONS AND CORRECT ANSWERS
◉ What are Workspaces?
Answer: A workspace is an environment for accessing all of your
Databricks assets.
◉ What does a Workspace organize?
Answer: objects (notebooks, libraries, dashboards, and experiments)
into folders and provides access to data objects and computational
resources.
◉ What is Unity Catalog
Answer: A unified governance solution for all data and AI assets
including files, tables, and machine learning models in your
lakehouse on any cloud.
It offers improved Lakehouse data object governance and
organization capabilities for data segregation.
◉ NEED TO DIG DEEPER TO UNDERSTAND
,Describe how a specific capability of the Databricks Lakehouse
Platform supports a data streaming pattern
Which of the following correctly describes how a specific capability
of the Databricks Lakehouse Platform supports a data streaming
pattern? Select three responses.
☐ Structured Streaming enables stream-based machine learning
inference.
☐ Databricks Workflows automatically passes data from task to task
in regular microbatches.
☐ MLflow ingests its automatic experiment tracking data into a
stream for continuous monitoring.
Answer: - Delta Live Tables processes ETL pipelines on streaming
data with advanced monitoring mechanisms.
- Auto Loader continuously and incrementally ingests streaming
data.
◉ List these relational entities in order from largest (most coarse) to
smallest (most granular) within their hierarchy:
- Schema (Database)
- Metastore
, - Catalog
- Table
Answer: Metastore → Catalog → Schema (Database) → Table
◉ What is a schema (general)
Answer: the specification of the records in the database e.g. the
schema can say a record will consist of:
PersonID (unique index number),
FamilyName (40 chars),
FirstName (40 chars),
DateOfBirth (Date)
◉ What is a database
Answer: consisting of one or more Tables or records, actual data
following a Schema of sort, plus other things (stored queries, etc.).
◉ What does volumes provide governance for?
Answer: Non-tabular data.
◉ What is metadata
Answer: Data about data
