Databricks Fundamentals Learning Plan Accreditation https://customer-academy.databricks.com/learn/courses/2308/databricks-fundamentals-accreditation/lessons

databricks-quiz-2.txt

https://customer-academy.databricks.com/learn/courses/2206/databricks-fundamentals/lessons

100/100

Question 1 of 20
What percentage of global enterprises have adopted the lakehouse architecture according to the document?


50%

** 74%

90%

85%

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Question 2 of 20
What are the three key challenges with data ecosystems that businesses face when leveraging their data for valuable insights?


** Data is often locked in silos with teams operating independently.

** Multiple systems introduce data privacy and control issues.

** Each tool and platform in a data ecosystem requires highly technical staff.

Older tools and infrastructure lack relevant capabilities and features.

Large data ecosystems incur high management and maintenance costs.

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Question 3 of 20
What is the significance of the MosaicML acquisition by Databricks?


It expanded the cloud storage capabilities of the Databricks lakehouse architecture.

It extended Databricks’s support and capabilities into the hardware infrastructure market.

** It supported the need for powerful Generative AI models and tools within Databricks.

It enhanced Databricks’s support for data visualization tooling for broader BI support.

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Question 4 of 20
How does DatabricksIQ enhance the Databricks Platform?


By providing additional storage optimization on top of data housed with the cloud storage provider.

** By applying AI to understand data structure, usage, and meaning, helping users boost productivity, and optimize workloads.

By enhancing the user experience with an always-ready AI assistant to support debugging and code enhancement.

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Question 5 of 20
What is Delta Sharing and its primary benefit?


Delta Sharing is a proprietary sharing tool unique to Databricks that leverages Unity Catalog and Delta Lake for seamless sharing.

** Delta Sharing is an open, cross-platform sharing tool that allows for the sharing of data without duplication.

Delta Sharing is a data storage solution that provides additional permissions settings to Unity Catalog.

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Question 6 of 20
How does Databricks support non-technical users in gaining insights from data using natural language?


By providing coding tutorials and prebuilt notebooks, which allows users to have professionally vetted code available in a single click.

With the inclusion of both our Databricks blogs and cloud-specific documentation available through Intelligent Search.

** Through AI/BI Genie Spaces and Databricks Assistant, which allow users to interact with data using natural language prompts.

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Question 7 of 20
Which statement describes the role of Unity Catalog within the Databricks Data Intelligence Platform?


** Unity Catalog provides a single interface to manage platform-wide permissions, audits, and data sharing for all your data and AI governance needs.

Unity Catalog is a data storage solution for managing all your data and AI assets including structured, semi, and unstructured data.

Unity Catalog brings together your data with the DatabricksIQ engine to make AI-assisted data visualization possible.

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Question 8 of 20
What is the purpose of Databricks Assistant?


** To act as a companion for coding and platform needs throughout the platform UI.

To manage data storage, to provide financial advice, to handle hardware issues.

To manage data storage optimization within Delta Lake.

To monitor the overall costs of the platform divided across multiple

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Question 9 of 20
What is the mission of Databricks


** To democratize data and AI.

To solve the worlds toughest problems with AI.

To become the leading data and AI company.

To build the best cloud storage platform.

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Question 10 of 20
What are three of the main features and benefits Delta Live Tables (DLT) provide to data engineering on Databricks?


Manual infrastructure fine-tuning support

Optimized batch-only processing

Data visualization tooling

** Automatic infrastructure management

** A declarative ETL framework

** Unified batch and streaming support

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Question 11 of 20
What is the primary benefit of Delta Lake's support for ACID transactions?


It enhances data visualization creation

** It ensures data reliability and consistency

It increases storage capacity

It speeds up data duplication

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Question 12 of 20
Databricks platform infrastructure consists of a control plane and a data plane. Which three of the following resources exits in the control plane?


** Notebooks

Data object storage

** Unity Catalog

** Workflows

Compute resources

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Question 13 of 20
What is the significance of the Well-Architected Lakehouse framework?


It is a proprietary development framework for the Databricks Data Intelligence Platform that builds on the structure of the data lakehouse paradigm introduced in 2020.

It builds on the already existing data storage format and structure of data lakes to provide a more robust and beneficial environment to data practitioners with additional tooling and support functionality.

** It extends the cloud well-architected frameworks to the lakehouse, ensuring operational excellence, security, reliability, performance efficiency, and cost optimization.

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Question 14 of 20
What does Databricks use to handle data governance and security?


Delta Lake

Azure Active Directory

AWS or Google IAM

** Unity Catalog

Delta Sharing

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Question 15 of 20
What is the role of Databricks Workflows?


To provide a dashboard for monitoring all the costs associated with data flowing in and out of the platform.

To manage the cloud platform infrastructure from all from a single interface within Databricks.

** To orchestrate all types of jobs within the platform, providing control flows, triggers, and monitoring.

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Question 16 of 20
Which three of the following benefits is provided directly by Databricks?


** It provides a unified security and governance approach to all data assets

** It’s available on and across multiple cloud platforms

It’s provides scalable and redundant cloud-based data storage

It’s efficient on-premise optimized hardware

** It’s built on open source and open standards

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Question 17 of 20
What is the role of AI-generated comments in Databricks?


To create data visualizations and provide in-the-moment feedback on the accuracy of those visualizations.

To efficiently allow for developers to enter comments to their code for easier readability and documentation.

** To automatically generate informative table and column comments, improving search and natural language interfaces.

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Question 18 of 20
How does Databricks support data security and governance across different cloud platforms?


Databricks depends on the customer’s preferred or existing data governance tooling in the cloud infrastructure where it is deployed.

Databricks uses multiple data security and governance tools within the platform to support various use cases and data teams in the platform.

** Databricks leverages Unity Catalog to provide a unified governance layer for all data and AI assets housed within the data ecosystem.

Databricks leverages the existing cloud provider’s security infrastructure to inherit permissions and governance settings directly.

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Question 19 of 20
What is the purpose of Databricks Marketplace?


** To provide an open marketplace for data, analytics, and AI products, enabling collaboration and monetization.

To provider a shared data storage solution for collaboration between partners and vendors.

To provide a curated marketplace of verified, approved, and professionally vetted data and AI assets to be purchased as needed.

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Question 20 of 20
Which of the following services or capabilities supports data warehousing capabilities on Databricks


Lakehouse Federation

MosaicAI

Databricks Workflows

** Databricks SQL

Clear selection


Which three options are benefits of serverless compute in Databricks?


Usage cost transparency

** Simplified user experience

Fine-grained and detailed setup

** Improved reliability

** Faster scaling


What is the primary function of Databricks Notebooks?


** Databricks Notebooks provide a collaborative, reproducible environment for data practitioners with support for multiple languages.

Databricks Notebooks provide a space to connect with git repositories to manage CI/CD pipelines.

Databricks Notebooks provide a simple and flexible environment for developing dashboards and visualizations for end users.


Which two statements provide an explanation of data lakehouse architecture and its benefits?


Data lakehouse architecture offers the benefit of bridging the gap between multiple existing platforms within a data ecosystem by adding a data governance layer that manages AI data assets.

** Data lakehouse architecture offers the benefits of both data warehouses and data lakes by building a data management and formatting layer on top of an open data lake.

** The data lakehouse architecture provides a unified platform for all data types with support for both BI and AI workloads.

The data lakehouse architecture provides a new variety of data warehousing technology, in which cloud-based data is stored in a proprietary format for efficient management.