Databricks-DA-Assoc Creating Dashboards and Visualizations Practice Question
A data analyst has built a Databricks SQL dashboard with a bar chart that shows total revenue by region. The dashboard has a parameter named `region_param` that allows the viewer to select one or more regions. The analyst wants the bar chart to update automatically whenever the viewer changes the selected regions, without requiring a manual refresh. What should the analyst do?
⚠ Common exam trap
Test-takers frequently confuse dashboard filters with parameters, assuming that a filter widget alone can drive dynamic query updates.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reference the parameter in the query using the `{{ region_param }}` syntax and ensure the parameter is added to the dashboard.
Parameters in Databricks SQL allow dynamic values to be passed into queries. By referencing the parameter with double curly braces in the query and adding it to the dashboard, the visualization will automatically update when the parameter value changes. This is the standard mechanism for interactive dashboards in Databricks SQL.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a separate query for each region and add them as individual visualizations to the dashboard.
Why it's wrong here
Creating separate queries for each region would result in multiple visualizations and would not provide a single chart that updates based on a parameter selection. This approach is static and does not leverage the dynamic parameter functionality. It also increases maintenance overhead and does not meet the requirement of automatic updates based on viewer selection.
- ✗
Use a dashboard-level filter that applies to all visualizations and set the parameter to a fixed value.
Why it's wrong here
A dashboard-level filter can filter data across visualizations, but setting the parameter to a fixed value would prevent dynamic selection by the viewer. The requirement is for the chart to update when the viewer changes the selected regions, which necessitates a parameter that is referenced in the query and exposed on the dashboard, not a fixed value.
- ✗
Add a filter widget to the dashboard and link it to the parameter.
Why it's wrong here
A filter widget is used to filter data based on a field, but it does not bind to a parameter and automatically propagate the selection to the underlying query. The parameter must be referenced directly in the query, and the dashboard parameter widget itself provides the selection mechanism. Adding a separate filter widget would not automatically update the visualization based on the parameter selection.
- ✓
Reference the parameter in the query using the `{{ region_param }}` syntax and ensure the parameter is added to the dashboard.
Why this is correct
Databricks SQL parameters are referenced in queries with the `{{ parameter_name }}` syntax. When the parameter is added to the dashboard, changing its value re-executes the query and updates all visualizations that depend on it. This is the correct way to make the bar chart update automatically based on the viewer's selection.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DA-Assoc exam.