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The Databricks Lakehouse Platform includes tailored user interfaces for which personas?

Data analysts, machine learning practitioners, data engineers

The Lakehouse was created by combining the most useful elements of which data management strategies?

Data lakes and data warehouses

What is the access point to the Databricks Lakehouse Platform for machine learning practitioners?

Databricks Machine Learning

What is the access point to the Databricks Lakehouse platform for business analysts?

Databricks SQL

What are the primary services that comprise the Databricks Lakehouse Platform?

Databricks SQL, Databricks Machine Learning, Databricks Data Science and Data Engineering Workspace

What does the Databricks Lakehouse Platform provide to data teams?

A completely open-source environment that guarantees seamless integration with the existing tools being used by an organizationXXXX

What describes how the Databricks Lakehouse Platform functions within an organization, at a high level?

A variety of data types land in an organization's open data lake. Delta Lake augments that data lake by providing structure and governance to that data. That data is then used by data practitioners for their data use cases.

Which statement holistically describes a Lakehouse?

it is the latest data management paradigm that combines elements from data warehouses and data lakes

The Databricks Lakehouse Platform is built on top of some of the world's most successful open-source data projects. Which open source projects were originally created by Databricks and come as managed versions in the Databricks Lakehouse Platform?

Apache Spark, Alchemist, MLflowXXXXX

The Databricks Lakehouse Platform is built on top of some of the world's most successful open-source data projects. Which of the following open source projects were originally created by Databricks and come as managed versions in the Databricks Lakehouse Platform?

Delta Lake, MLflow, Koalas

Delta Lake ensures data governance through Unity Catalog. What does this refer to?

Enforces access control lists on clusters, notebooks, tables and viewsXXXXX Enforces data constraints to satisfy business requirementsXXXXX Enforces access control lists on tables and views

One of the key features delivered by the Databricks Lakehouse platform is data schema enforcement. What describes data schema enforcement?

It ensures data quality by rejecting writes to a data table that do not match the way that data is structured and organized in that table

What is true about data stored by Databricks clusters?

It is always encrypted without having to worry about key and certificate management

Which is true about Databricks?

It provides organizations with a collaborative platform to work with big data, and is primarily aimed at data engineers, data scientists, data analysts, and machine learning practitioners

Delta Lake improves data performance through indexing. What does this refer to?

Structuring queries to act as if they are performed in a single operationXXXXX

One of the key features delivered by the Databricks Lakehouse platform is ACID transactions. What describes ACID transactions?

They are data structures that organize data into a 2-dimensional table of rows and columns, much like a spreadsheet

Which statement is true about commands run from Databricks Databricks Data Science and Engineering Workspace?

They are executed by clusters

Which statement is true about queries run from Databricks SQL?

They automatically connect to business intelligence tools without the need for additional configurationXXXXX They pass through Delta Lake to ensure that data being retrieved is relevant for use-cases being studiedXXXXX

Which scenario would be best tackled using Databricks Machine Learning?

Tracking and comparing the results of machine learning experiments.

One of the key features delivered by the Databricks Lakehouse platform is support for a wide variety of data. What types of data are supported by Databricks?

Unstructured, semi-structured, structured

What does Databricks SQL allow data practitioners to do?

Use SQL commands to perform ad-hoc and exploratory data analysis on an organization's data lake

What is true about an organization's data when they use Databricks?

data that is stored while it's being processed by Databricks is always encrypted

One of the key features delivered by the Databricks Lakehouse platform is that data storage is decoupled from compute. What is a direct benefit of decoupling storage from compute?

the cost of storage and compute are managed separately and can be scaled to accommodate more concurrent users or larger datasets independently