DATABRICKS LAKEHOUSE
FUNDAMENTALS ACTUAL TEST QUESTIONS
AND CORRECT ANSWERS BUNDLED STUDY
MATERIAL COMPLETE GUIDE
●● Which of the following is a common problem within a data lake
architecture that can be easily solved by using the Databricks Lakehouse
Platform? Select three responses.
☐ Lack of ACID transaction support
☐ Too many small files
☐ Inability to use open-source data formats
☐ Ineffective partitioning
☐ Lack of cloud service integrations
Answer: ☑️ Lack of ACID transaction support
Too many small files
☐ Inability to use open-source data formats
Ineffective partitioning
☐ Lack of cloud service integrations
,●● In the past, a lot of data engineering resources needed to be
contributed to the development of tooling and other mechanisms for
creating and managing data workloads. In response, Databricks
developed and released a declarative ETL framework so data engineers
can focus on helping their organizations get value from their data.
Which of the following technologies is being described above? Select
one response
☐ Delta Live Tables
☐ Databricks Jobs
☐ Autologging
☐ Databricks SQL Queries
☐ Delta Lake
Answer: ☑️ Delta Live Tables
☐ Databricks Jobs
☐ Autologging
☐ Databricks SQL Queries
☐ Delta Lake
●● Which of the following is a security feature made available in the
Databricks Lakehouse Platform by Unity Catalog? Select two responses.
, ☐ Single-source-of-truth identity management
☐ Workspace-specific identity management
☐ Data objects with fine-grained access control
☐ Fine-grained access control on data objects
☐ Workspace-specific data metastores
Answer: ☑️ Single-source-of-truth identity management
☐ Workspace-specific identity management
☐ Data objects with fine-grained access control
☐ Fine-grained access control on data objects
Workspace-specific data metastores
●● Many organizations use a variety of open-source and proprietary
tools for data orchestration, but these tools often have their own
limitations. To address the orchestration needs of these organizations,
Databricks developed Databricks Workflows.
Which of the following is a benefit of using Databricks Workflows for
orchestration purposes? Select two responses.
☐ Databricks Workflows supports workloads across multiple cloud
service providers and tools
FUNDAMENTALS ACTUAL TEST QUESTIONS
AND CORRECT ANSWERS BUNDLED STUDY
MATERIAL COMPLETE GUIDE
●● Which of the following is a common problem within a data lake
architecture that can be easily solved by using the Databricks Lakehouse
Platform? Select three responses.
☐ Lack of ACID transaction support
☐ Too many small files
☐ Inability to use open-source data formats
☐ Ineffective partitioning
☐ Lack of cloud service integrations
Answer: ☑️ Lack of ACID transaction support
Too many small files
☐ Inability to use open-source data formats
Ineffective partitioning
☐ Lack of cloud service integrations
,●● In the past, a lot of data engineering resources needed to be
contributed to the development of tooling and other mechanisms for
creating and managing data workloads. In response, Databricks
developed and released a declarative ETL framework so data engineers
can focus on helping their organizations get value from their data.
Which of the following technologies is being described above? Select
one response
☐ Delta Live Tables
☐ Databricks Jobs
☐ Autologging
☐ Databricks SQL Queries
☐ Delta Lake
Answer: ☑️ Delta Live Tables
☐ Databricks Jobs
☐ Autologging
☐ Databricks SQL Queries
☐ Delta Lake
●● Which of the following is a security feature made available in the
Databricks Lakehouse Platform by Unity Catalog? Select two responses.
, ☐ Single-source-of-truth identity management
☐ Workspace-specific identity management
☐ Data objects with fine-grained access control
☐ Fine-grained access control on data objects
☐ Workspace-specific data metastores
Answer: ☑️ Single-source-of-truth identity management
☐ Workspace-specific identity management
☐ Data objects with fine-grained access control
☐ Fine-grained access control on data objects
Workspace-specific data metastores
●● Many organizations use a variety of open-source and proprietary
tools for data orchestration, but these tools often have their own
limitations. To address the orchestration needs of these organizations,
Databricks developed Databricks Workflows.
Which of the following is a benefit of using Databricks Workflows for
orchestration purposes? Select two responses.
☐ Databricks Workflows supports workloads across multiple cloud
service providers and tools
