A data analyst is building a dashboard that combines data from two different datasets: 'sales' and 'inventory'. The analyst wants to create a single visualization that shows sales revenue and inventory levels side-by-side for each product. The 'sales' dataset has a 'product_id' column, and the 'inventory' dataset also has a 'product_id' column. What is the most effective way to create this combined visualization?

Use the 'sales' dataset for the visualization and manually add the inventory data as a text widget.

Add both datasets to the dashboard and place two separate visualizations side-by-side.

Create a new SQL query that joins the 'sales' and 'inventory' datasets on 'product_id', then use that query as the dataset for the visualization.

Add both datasets to the dashboard and use cross-filtering to combine them in the visualization.

Which of the following is a key feature of AI/BI Dashboards in Databricks?

Automatic data transformation and cleaning

Direct integration with external databases for real-time writes

Support for multiple data sources and interactive filters

Built-in machine learning model training

What is cross-filtering in an AI/BI dashboard?

Clicking a data point in one visualization filters other visualizations

Using multiple filters in a single visualization

Filtering data across different tabs

A data analyst has added a table visualization to a dashboard. The table is too wide and extends beyond the visible area of the dashboard page. The analyst wants to make the table fit within the page width. What is the most direct way to adjust this?

Select the table widget and drag its edge to resize it to the desired width.

Edit the underlying query to select fewer columns.

Change the visualization type from table to a bar chart.

Publish the dashboard and use the browser's zoom out feature.

How can you share an AI/BI dashboard with a stakeholder?

By exporting the dashboard to a CSV file

By setting permissions in the dashboard's sharing settings

By sending a SQL query via email

By copying the dashboard to a notebook

DatabricksCertified Data Analyst Associate

Domain 6Objective 1

datasets, and Widgets (visualizations, Text, Images). DATA-ANALYST-ASSOCIATE Practice Questions (Page 5)

Part of the Section 6: Working with Dashboards and Visualizations in Databricks domain, which makes up ~17% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–10 in this domain), expect 1–1 from this objective — we provide 35 practice questions to prepare you well beyond it. (estimate)

35questions here

7free pages

12concepts

Questions 21–25

21expert · hard
A data analyst is building a dashboard that combines data from two different datasets: 'sales' and 'inventory'. The analyst wants to create a single visualization that shows sales revenue and inventory levels side-by-side for each product. The 'sales' dataset has a 'product_id' column, and the 'inventory' dataset also has a 'product_id' column. What is the most effective way to create this combined visualization?
Select an answer first
22foundation · easy
Which of the following is a key feature of AI/BI Dashboards in Databricks?
Select an answer first
23foundation · easy
What is cross-filtering in an AI/BI dashboard?
Select an answer first
24application · easy
A data analyst has added a table visualization to a dashboard. The table is too wide and extends beyond the visible area of the dashboard page. The analyst wants to make the table fit within the page width. What is the most direct way to adjust this?
Select an answer first
25foundation · easy
How can you share an AI/BI dashboard with a stakeholder?
Select an answer first

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