DATABRICKS LAKEHOUSE
FUNDAMENTALS COMPREHENSIVE
CERTIFICATION TEST PAPER QUESTIONS
AND SOLUTIONS GRADED A PLUS
VERIFIED
●● Which three benefits are provided directly by the Databricks Data
Intelligence Platform? Select three responses.
Democratizing Data and AI
Simplifying usage through natural language assistance
Integrating AI end-to-end
Efficient on-premises optimized hardware
Scalable, redundant cloud-based data storage.
Answer: Democratizing Data and AI
Simplifying usage through natural language assistance
Integrating AI end-to-end
●● While the Databricks Data Intelligence Platform provides support for
many types of data, analytics, and machine learning workloads, some
organizations prefer to continue using other preferred vendors for use
cases like data ingestion, data transformation, business intelligence, and
machine learning.
, In which two ways is Databricks designed to be utilized within this type
of broad data ecosystem? Select two responses.
Databricks can be integrated directly with a large number of Databricks
partners.
Databricks can be used on-premises to allow for secure, in-house
integrations.
Databricks can use cloud service provider capabilities to efficiently
share data with other data tools and platforms.
Databricks can be used locally to allow developers to manually integrate
with other systems..
Answer: Databricks can be integrated directly with a large number of
Databricks partners.
Databricks can use cloud service provider capabilities to efficiently
share data with other data tools and platforms.
●● Which three common problems within a data lake architecture can be
solved by using a lakehouse architecture in your data management
platform? Select three responses.
No schema enforcement or governance
Lack of automatic data optimizations
Lack of ACID transaction support
FUNDAMENTALS COMPREHENSIVE
CERTIFICATION TEST PAPER QUESTIONS
AND SOLUTIONS GRADED A PLUS
VERIFIED
●● Which three benefits are provided directly by the Databricks Data
Intelligence Platform? Select three responses.
Democratizing Data and AI
Simplifying usage through natural language assistance
Integrating AI end-to-end
Efficient on-premises optimized hardware
Scalable, redundant cloud-based data storage.
Answer: Democratizing Data and AI
Simplifying usage through natural language assistance
Integrating AI end-to-end
●● While the Databricks Data Intelligence Platform provides support for
many types of data, analytics, and machine learning workloads, some
organizations prefer to continue using other preferred vendors for use
cases like data ingestion, data transformation, business intelligence, and
machine learning.
, In which two ways is Databricks designed to be utilized within this type
of broad data ecosystem? Select two responses.
Databricks can be integrated directly with a large number of Databricks
partners.
Databricks can be used on-premises to allow for secure, in-house
integrations.
Databricks can use cloud service provider capabilities to efficiently
share data with other data tools and platforms.
Databricks can be used locally to allow developers to manually integrate
with other systems..
Answer: Databricks can be integrated directly with a large number of
Databricks partners.
Databricks can use cloud service provider capabilities to efficiently
share data with other data tools and platforms.
●● Which three common problems within a data lake architecture can be
solved by using a lakehouse architecture in your data management
platform? Select three responses.
No schema enforcement or governance
Lack of automatic data optimizations
Lack of ACID transaction support
