A business analyst needs to create a dashboard that shows daily sales data from a Delta table. The data is updated hourly, and the analyst wants the dashboard to refresh automatically. They also need to ensure that only users with the appropriate permissions can view the dashboard. What is the best way to set this up?

Create a Databricks SQL dashboard with a scheduled refresh, and rely on Unity Catalog permissions for access control

Use Mosaic AI to create a dashboard that automatically updates

Create a Delta Live Tables pipeline that outputs a static dashboard

Use Lakeflow Jobs to generate a PDF report and share it via email

What is Delta Lake primarily known for in the lakehouse architecture?

Serving as a proprietary storage format that only works with Databricks.

Providing ACID transactions, time travel, and schema enforcement on data lakes.

Offering a SQL interface for querying data in the lakehouse.

Providing a framework for building machine learning models.

What is the primary purpose of the Databricks Intelligence Platform?

To replace all existing cloud storage services with a proprietary data warehouse.

To provide a single environment for data engineering, analytics, and AI across cloud providers.

To offer a business intelligence tool that only connects to on-premises databases.

To provide a managed service for running only machine learning models in production.

What is the primary benefit of using Delta Live Tables for building data pipelines?

It is a storage format that provides ACID transactions for data lakes.

It provides a declarative framework with automatic orchestration and built-in quality controls.

It is a visualization tool for monitoring pipeline performance.

It allows you to write imperative code that gives you full control over every step of the pipeline.

DatabricksCertified Data Analyst Associate

Domain 1Objective 1

Describe the Core Components of the Databricks Intelligence Platform, Including Mosaic AI, DeltaLive Tables, Lakeflow Jobs, Data Intelligence Engine, Delta Lake, Unity Catalog, and Databricks SQL. DATA-ANALYST-ASSOCIATE Practice Questions (Page 4)

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 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

8concepts

Questions 16–20

16expert · hard
A business analyst needs to create a dashboard that shows daily sales data from a Delta table. The data is updated hourly, and the analyst wants the dashboard to refresh automatically. They also need to ensure that only users with the appropriate permissions can view the dashboard. What is the best way to set this up?
Select an answer first
17foundation · easy
What is Delta Lake primarily known for in the lakehouse architecture?
Select an answer first
18foundation · easy
What is the primary purpose of the Databricks Intelligence Platform?
Select an answer first
19foundation · easy
What is the primary benefit of using Delta Live Tables for building data pipelines?
Select an answer first
20application · medium
A company wants to build a machine learning model that predicts customer churn. They have historical data stored in Delta tables and want to use a managed platform to train, deploy, and monitor the model. Which Databricks component is designed for this purpose?
Select an answer first

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Describe the Core Components of the Databricks Intelligence Platform, Including Mosaic AI, DeltaLive Tables, Lakeflow Jobs, Data Intelligence Engine, Delta Lake, Unity Catalog, and Databricks SQL. DATA-ANALYST-ASSOCIATE Practice Questions (Page 4)

Questions 16–20

What is Delta Lake primarily known for in the lakehouse architecture?

What is the primary purpose of the Databricks Intelligence Platform?

What is the primary benefit of using Delta Live Tables for building data pipelines?

A company wants to build a machine learning model that predicts customer churn. They have historical data stored in Delta tables and want to use a managed platform to train, deploy, and monitor the model. Which Databricks component is designed for this purpose?

Keep studying — Section 1: Understanding of Databricks Data Intelligence Platform