A data analyst is looking for a listing that provides a pre-built SQL query to analyze customer purchase patterns. Which type of listing should the analyst look for?

A dataset listing that contains the raw purchase data.

A notebook listing that contains SQL code and can be installed into the workspace.

A dashboard listing that shows visualizations of purchase patterns.

An ML model listing that predicts future purchases.

How can a user find relevant listings in Databricks Marketplace?

By browsing all listings in alphabetical order

By contacting providers directly

By using a separate search engine

A data analyst is new to Databricks and wants to understand what types of assets are available in Databricks Marketplace. The analyst wants to see a broad overview of all available listings. What is the best way to get an overview?

Browse the Marketplace landing page, which shows featured listings and categories.

Contact Databricks support for a list of all listings.

Go to the 'Providers' tab and view all providers.

Use the search bar to search for 'all' and view all results.

A data analyst is evaluating a listing in Databricks Marketplace that offers a pre-trained machine learning model for fraud detection. The listing includes a description, tags, and a price. What type of listing is this, and what additional information should the analyst look for to understand the usage terms?

It is a dataset listing; the analyst should check the 'Data profile' section for schema and sample data.

It is a dashboard listing; the analyst should check the 'Visualizations' section for the charts included.

It is a notebook listing; the analyst should check the 'Code' section for the implementation details.

It is an ML model listing; the analyst should check the 'Usage terms' section for licensing and acceptable use restrictions.

What is the purpose of tags in a Databricks Marketplace listing?

To indicate the listing's popularity

To categorize the listing for easier search and discovery

DatabricksCertified Data Analyst Associate

Domain 1Objective 3

Describe the Role and Features of Databricks Marketplace. DATA-ANALYST-ASSOCIATE Practice Questions (Page 5)

Part of the Section 1: Understanding of Databricks Data Intelligence Platform domain, which makes up ~12% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~4–7 in this domain), expect 1–2 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

8concepts

Questions 21–25

21application · medium
A data analyst is looking for a listing that provides a pre-built SQL query to analyze customer purchase patterns. Which type of listing should the analyst look for?
Select an answer first
22foundation · easy
How can a user find relevant listings in Databricks Marketplace?
Select an answer first
23application · medium
A data analyst is new to Databricks and wants to understand what types of assets are available in Databricks Marketplace. The analyst wants to see a broad overview of all available listings. What is the best way to get an overview?
Select an answer first
24application · medium
A data analyst is evaluating a listing in Databricks Marketplace that offers a pre-trained machine learning model for fraud detection. The listing includes a description, tags, and a price. What type of listing is this, and what additional information should the analyst look for to understand the usage terms?
Select an answer first
25foundation · easy
What is the purpose of tags in a Databricks Marketplace listing?
Select an answer first

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