DATABRICKS LAKEHOUSE FUNDAMENTALS
TEST 2026 PROFESSIONAL PRACTICE
QUESTIONS WITH CORRECT ANSWERS
◉ True or False, Databricks Workflows supports workloads across
multiple cloud service providers and tools? Answer: True;
Databricks Workflows supports workloads across multiple cloud
service providers and tools
◉ What is Databricks Workflows Answer: a managed orchestration
service, fully integrated with the Databricks Data Intelligence
Platform.
◉ What does Databricks Workflows let you do? Answer: It lets you
easily define, manage and monitor multitask workflows for ETL,
analytics and machine learning pipelines.
With a wide range of supported task types, deep observability
capabilities and high reliability, your data teams are empowered to
better automate and orchestrate any pipeline and become more
productive.
◉ Why did Databricks develop Databricks Workflows? Answer:
Many organizations use a variety of open-source and proprietary
, tools for data orchestration, but these tools often have their own
limitations.
◉ What are the benefits of Databricks Workflows (big picture)
Answer: - Unified with the Databricks Data Intelligence Platform
- Reliability at scale
- Deep monitoring and observability
- Batch and streaming
- Efficient compute
- Seamless user experience
◉ What tasks does Databricks Workflows support? Answer: It
supports tasks for data ingestion, data engineering, machine
learning, and business intelligence (BI)
◉ What contributes directly to high levels of data quality within the
Databricks Lakehouse Platform? Answer: - Data expectations
enforcement
TEST 2026 PROFESSIONAL PRACTICE
QUESTIONS WITH CORRECT ANSWERS
◉ True or False, Databricks Workflows supports workloads across
multiple cloud service providers and tools? Answer: True;
Databricks Workflows supports workloads across multiple cloud
service providers and tools
◉ What is Databricks Workflows Answer: a managed orchestration
service, fully integrated with the Databricks Data Intelligence
Platform.
◉ What does Databricks Workflows let you do? Answer: It lets you
easily define, manage and monitor multitask workflows for ETL,
analytics and machine learning pipelines.
With a wide range of supported task types, deep observability
capabilities and high reliability, your data teams are empowered to
better automate and orchestrate any pipeline and become more
productive.
◉ Why did Databricks develop Databricks Workflows? Answer:
Many organizations use a variety of open-source and proprietary
, tools for data orchestration, but these tools often have their own
limitations.
◉ What are the benefits of Databricks Workflows (big picture)
Answer: - Unified with the Databricks Data Intelligence Platform
- Reliability at scale
- Deep monitoring and observability
- Batch and streaming
- Efficient compute
- Seamless user experience
◉ What tasks does Databricks Workflows support? Answer: It
supports tasks for data ingestion, data engineering, machine
learning, and business intelligence (BI)
◉ What contributes directly to high levels of data quality within the
Databricks Lakehouse Platform? Answer: - Data expectations
enforcement
