Databricks Lakehouse Fundamentals Test |
100% Correct Answers | Verified | Latest
2024 Version
What does the Databricks Lakehouse Platform provide to data teams? - ✔✔One centralized user
interface so that data practitioners work in the same environment
Where does Delta Lake fit into the Databricks Lakehouse Platform? - ✔✔
It runs under the hood of the Databricks Lakehouse Platform to power queries run
It works in an organization's data warehouse to help migrate data into a data lake
It sits on top of an organization's open data lake and provides structure to the many types of data stored
within that data lake
It works in concert with existing tools to bring auditing and sharing capabilities to data shared across
organizations
What is true about an organization's data when they use Databricks? - ✔✔Data that is stored while it's
being processed by Databricks is always encrypted
Which statement is true about queries run from Databricks SQL? - ✔✔They automatically connect to
business intelligence tools without the need for additional configuration
What describes how the Databricks Lakehouse Platform functions within an organization, at a high level?
- ✔✔Streaming data lands in multiple data warehouses. It is filtered through Delta Lake, which
determines which data warehouse the data should be kept in. That data is then used by data
practitioners for their data use cases.
Structured, semi-structured, and unstructured data are captured in Delta Lake. The data is then passed
to a data lake, where it is given structure and munged for quality. That data is then used by data
practitioners for their data use cases.
A variety of data types land in an organization's open data lake. Delta Lake augments that data lake by
providing structure and governance to that data. That data is then used by data practitioners for their
data use cases.
Real-time data is captured in Delta Lake and ultimately lands in an organization's data warehouse. That
data is then used by data practitioners for their data use cases.
