Free Databricks Certified Data Analyst Associate Actual Exam Questions - Question 15 Discussion

Option D makes sense because business analysts focus on writing SQL queries to extract insights, unlike data scientists or engineers who use more code-heavy tools. SQL is their go-to.

D/C? Business analysts use SQL a lot, but platform architects might also work with Databricks SQL to set up query environments. Still, business analysts rely on it as their main tool more consistently.

D. Business analysts use Databricks SQL daily to create reports and visualize data.

D. Business analysts mainly need SQL to pull data and build dashboards, so Databricks SQL fits their role best. Data scientists usually work more with notebooks and Python, while engineers focus on pipelines and data prep, so they wouldn’t rely on SQL as their main tool.

Guessing D since business analysts mostly run SQL queries for reports.

D/C? Business analysts mainly run SQL queries for reports, so D fits, but platform architects might design the environment supporting those queries—though they don’t use SQL as their primary daily tool.

Probably D again. Business analysts are focused on extracting insights and creating reports, and Databricks SQL is tailored for that. Data engineers and scientists use more complex tools like notebooks or pipelines, so SQL isn’t their main tool. Platform architects are more involved in system design, not running SQL queries daily. So D fits best as the primary user of Databricks SQL.

Maybe D here too. Business analysts usually rely on SQL to pull data for their reports and dashboards, which is exactly what Databricks SQL is built for. Data scientists and engineers tend to use other tools like notebooks or pipelines more often. Platform architects are more focused on design and infrastructure, so SQL wouldn’t be their primary service either. The question centers on “primary service,” so it’s probably the role that uses SQL day-to-day for querying and analysis, which fits business analysts best.

It’s D because business analysts focus on querying data and building reports, which aligns with Databricks SQL. The other roles use more coding or data processing tools rather than SQL as their main service.

It’s D. Business analysts mainly run dashboards and reports, which fits Databricks SQL’s strengths. Data engineers and scientists do use SQL sometimes, but mostly in notebooks or coding environments, not as their primary tool. The question asks who relies on Databricks SQL daily, and that’s definitely business analysts who need straightforward querying and visualization without complex coding.

I see why D makes sense, but what about B? Data engineers might use SQL for some tasks, but is it really their primary service compared to business analysts? Could the question be focusing on who depends most on SQL daily?

Actually, I think it’s definitely not A or C because data scientists and platform architects generally use notebooks or other tools for their work, not just SQL. Data engineers (B) focus more on building pipelines and transformations rather than running SQL queries as their main task. So D for business analyst still seems the most logical choice here since they rely heavily on SQL to analyze and visualize data.

B tbh, data engineers usually handle ETL jobs with notebooks or pipelines, not primarily SQL for analysis. So D still stands out as the best fit for Databricks SQL use.

Maybe D since business analysts usually run queries and create dashboards, which aligns with using Databricks SQL as their main tool. Other roles tend to use more coding or architecture-focused services.

I agree, D fits best since business analysts focus on querying data with SQL.

I’m going with D. Business analyst since Databricks SQL is mainly for running queries and generating reports, which fits their role best. Anyone else think differently?