Databricks-GenAI-Assoc Assembling and Deploying Apps Practice Question
A data scientist has developed a GenAI application locally and now needs to share it with stakeholders as an interactive web app inside the Databricks workspace. The app must use the workspace's existing authentication and compute. Which Databricks capability should be used?
⚠ Common exam trap
It's easy for candidates to confuse interactive development tools like notebooks with app-hosting services, when only Databricks Apps provides a shareable, authenticated web interface.
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 Apps, which host the application within the workspace and integrate with workspace identity and compute.
Databricks Apps is designed for hosting interactive applications directly in the workspace, using the workspace's identity and compute. This lets stakeholders access the GenAI app through a URL with existing authentication, avoiding the need to build custom hosting or manage separate credentials.
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 Apps, which host the application within the workspace and integrate with workspace identity and compute.
Why this is correct
Databricks Apps is the native capability for hosting interactive web applications inside the workspace. It integrates with workspace authentication, so stakeholders use their existing Databricks credentials, and it can access workspace compute and data resources without exposing separate credentials.
- ✗
A Databricks job with a notebook task scheduled to run every five minutes.
Why it's wrong here
A scheduled job executes code on a timetable and is intended for automated pipelines or batch processing. It does not present an interactive web interface, cannot be used by stakeholders to explore the application on demand, and does not provide workspace-integrated app authentication.
- ✗
An MLflow experiment tracking run that logs the application as an artifact.
Why it's wrong here
MLflow experiment tracking records parameters, metrics, and artifacts for model development. It does not host or serve an interactive web application, and stakeholders cannot launch the app from an experiment run, so it does not meet the sharing requirement.
- ✗
A Databricks notebook with the %run magic command to execute the application logic on demand.
Why it's wrong here
Notebooks are interactive development tools, not shareable web applications. The %run magic executes another notebook within the current one, but it does not provide a user-facing web interface, separate authentication, or a deployable app URL for stakeholders.
About these practice questions
This Databricks-GenAI-Assoc question is part of Courseiva's 330-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 →
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-GenAI-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-GenAI-Assoc exam.