Databricks Lakehouse Fundamentals
Certification Exam Questions with
Correct Verified Solutions 100%
Guaranteed Pass
1. Access Control Lists / IP Whitelisting - ANS ✔A connection
filtration mechanism that specify which connections can or cannot be
made in and out of an organization's workspaces, minimizing the
attack surface.
2. ACID Transactions - ANS ✔A reliability innovation for Delta Lake
that guarantees data validity by performing changes to data as if they
are a single operation.
3. Alerts - ANS ✔A built-in feature to help you monitor your data and
be aware of when it reaches certain thresholds.
4. AutoML - ANS ✔A component of Databricks Machine Learning that
fast tracks the machine learning workflow by providing training code
for trial runs of models - data scientists can use this code to quickly
assess the feasibility of using a data set for machine learning or to get
a quick sanity check on the direction of an ML project.
5. Bronze Layer - ANS ✔A layer in the Delta Lake that contains raw
data ingestion and history.
Databricks Lakehouse Fundamentals Certification
, 2
Databricks
6. Code Isolation - ANS ✔A privacy feature that allows data
practitioners can run their data analytics workflows on the same
computational resources while ensuring each user only has access to
the data they are authorized to access.
7. Control Plane - ANS ✔A collection of backend services that
Databricks manages in its own cloud account.
8. Customer-Managed VPC/VNET - ANS ✔A private networks that
can be deployed with custom network configurations to comply with
internal cloud and data governance policies (as well as adhere to
external regulations).
9. Data Lakes - ANS ✔A storage technology that allows an
organization to permanently and cheaply store data of any nature in
any format - in fact, data lakes allow both structured and semi-
structured data to be stored alongside unstructured data like video,
images, free text, and log files.
10. Data Swamp - ANS ✔A poorly maintained data lake that is
difficult to navigate and query.
11. Data Warehouses - ANS ✔A storage technology that
generally follow a set of guidelines to design systems controlling the
flow of data used in decision-making. They are designed to optimize
data queries, prevent conflicts between concurrently running
queries, support structured data, and make the assumption that data
entered is unlikely to change with high frequency.
Databricks Lakehouse Fundamentals Certification
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