Courseiva

Databricks-DA-Assoc Developing AI/BI Genie Spaces Practice Question

A business analyst is using an AI/BI Genie Space to explore customer data. They ask, 'What is the average customer age?' The Genie Space returns a result. Which underlying Databricks component does Genie use to execute the generated SQL query?

⚠ Common exam trap

The trap here is assuming that Genie uses a general-purpose Spark cluster or notebooks, when it specifically leverages SQL warehouses for query execution.

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

✓

Databricks SQL warehouse

AI/BI Genie Spaces rely on Databricks SQL warehouses to execute the SQL queries generated from natural language. The SQL warehouse provides the necessary compute and is optimized for BI workloads, ensuring fast and reliable results. Other components like Spark clusters or notebooks are not used for this purpose.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Databricks SQL warehouse

    Why this is correct

    Genie Spaces use Databricks SQL warehouses to execute the SQL queries generated from natural language. The SQL warehouse provides the compute resources and is optimized for BI workloads. When a user asks a question, Genie translates it into SQL and runs it on the attached SQL warehouse, returning results quickly and efficiently.

  • ✗

    Apache Spark cluster

    Why it's wrong here

    While Spark clusters can run SQL, Genie Spaces are specifically integrated with Databricks SQL warehouses for query execution. Spark clusters are more general-purpose and not the default compute for Genie. Using a Spark cluster would require additional configuration and may not provide the same performance optimizations for BI queries.

  • ✗

    Delta Live Tables pipeline

    Why it's wrong here

    Delta Live Tables is a framework for building data pipelines, not for executing ad-hoc queries. Genie Spaces do not use Delta Live Tables to run queries. While Delta Live Tables can prepare data, the query execution is handled by SQL warehouses. This option confuses data transformation with query serving.

  • ✗

    Databricks notebook

    Why it's wrong here

    Notebooks are interactive coding environments, not query execution engines for Genie Spaces. Genie does not run queries in notebooks; it uses SQL warehouses. Notebooks are used by data engineers and analysts for development, but they are not part of the Genie query execution path. This option is incorrect.

About these practice questions

This Databricks-DA-Assoc question is part of Courseiva's 291-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.