Fundamentals of the
Databricks Lakehouse
Platform Accreditation
QUESTIONS WITH
100% SOLUTIONS
LATEST UPDATE 2023
Maintaining and improving data
... [Show More] quality is a major goal of modern data engineering.
Which of the following contributes directly to high levels of data quality within the
Databricks Lakehouse Platform? Select two responses. - ANSWER schema evolution,
Data expectations enforcement
Which of the following describes how the Databricks Lakehouse Platform makes data
governance simpler? Select one response - ANSWER Unity Catalog provides a single
governance solution across workload types and clouds.
Data organizations need specialized environments designed specifically for machine
learning workloads.
Which of the following is made available by Databricks as part of Databricks Machine
Learning to support machine learning workloads? Select four responses. - ANSWER
Built-in automated machine learning development, Support for distributed model training
on big data, Optimized and preconfigured machine learning frameworks, Built-in realtime model serving
Unity Catalog offers improved Lakehouse data object governance and organization
capabilities for data segregation.
Which of the following is a consequence of using Unity Catalog to manage, organize
and segregate data objects? Select one response. - ANSWER Databricks SQL
Data sharing has traditionally been performed by proprietary vendor solutions, SSH File
Transfer Protocol (SFTP), or cloud-specific solutions. However, each of these sharing
tools and solutions comes with its own set of limitations. As a result, Databricks helped
to develop the solution, Delta Sharing.
Which of the following describes Delta Sharing as a solution for data sharing? Select
one response. - ANSWER Delta Sharing is a multicloud, open-source solution to
securely and efficiently share live data from the lakehouse to any external system.
Which of the following describes what challenges a data organization would likely face
when migrating from a data warehouse to a data lake? Select two responses.
. - ANSWER There are increased security and privacy concerns in a data lake. There
are increased data reliability issues in a data lake
Which of the following is a security feature made available in the Databricks Lakehouse
Platform by Unity Catalog? Select two responses. - ANSWER Fine-grained access
control on data objects. Single-source-of-truth identity management
Which of the following describes the motivation for the creation of the data lakehouse?
Select one response. - ANSWER Organizations needed a single, flexible, highperformance system to support data, analytics, and machine learning workloads.
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. -
ANSWER Delta Live Tables
Which of the following Databricks Lakehouse Platform services or capabilities provides
a data warehousing experience to its users? Select one response. - ANSWER
Databricks SQL
Which of the following is a benefit of the Databricks Lakehouse Platform being designed
to support all data and artificial intelligence (AI) workloads? Select four responses. -
ANSWER Data workloads can be automatically scaled when needed. Data teams can
all utilize secure data from a single source to deliver reliable, consistent results across
workloads at scale. Analysts can easily integrate their favorite business intelligence (BI)
tools for further analysis. Data analysts, data engineers, and data scientists can easily
collaborate within a single platform.
One of the foundational technologies provided by the Databricks Lakehouse Platform is
an open-source, file-based storage format that provides a number of benefits. These
benefits include ACID transaction guarantees, scalable data and metadata handling,
audit history and time travel, table schema enforcement and schema evolution, support
for deletes/updates/merges, and unified streaming and batch data processing.
Which of the following technologies is being described in the above statement? Select
one response. - ANSWER Delta Lake
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. -
ANSWER
Which of the following compute resources is available in the Databricks Lakehouse
Platform? Select two responses. - ANSWER Classic clusters. Serverless Databricks
SQL warehouses
Which of the following architecture benefits is provided directly by the Databricks
Lakehouse Platform? Select three responses. - ANSWER Available on and across
multiple clouds. Built on open source and open standards. Unified security and
governance approach for all data assets
Which of the following do Databricks SQL users experience when using serverless
Databricks SQL warehouses rather than classic Databricks SQL warehouses? Select
one response. - ANSWER Expedited environment startup
A data architect is evaluating data warehousing solutions for their organization to use.
As a part of this, the architect is considering the Databricks Lakehouse Platform.
Which of the following is a benefit of using the Databricks Lakehouse Platform for
warehousing? Select four responses. - ANSWER Engineering capabilities supporting
warehouse source data. Local development software to integrate with other capabilities.
Built-in governance for single-source-of-truth data. A rich ecosystem of business
intelligence (BI) integrations
The Databricks Lakehouse Platform architecture consists of a control plane and a data [Show Less]