Databricks-GenAI-Assoc Assembling and Deploying Apps Practice Question
Which Databricks feature is specifically designed to allow developers to programmatically manage and version their entire data and AI infrastructure as code?
⚠ Common exam trap
Candidates often confuse 'Databricks Asset Bundles' with 'Delta Live Tables' or 'Workflows', assuming the latter are the primary tools for infrastructure versioning rather than just data pipeline 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 Asset Bundles
Databricks Asset Bundles (DABs) enable developers to package and deploy their projects—including jobs, pipelines, and models—using a declarative, version-controlled approach. This is fundamental for modern MLOps and DataOps workflows, as it replaces manual UI configuration with repeatable, automated deployments. By treating infrastructure as code, teams improve reliability, auditability, and speed when promoting applications from development to production environments.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Unity Catalog Volumes
Why it's wrong here
Unity Catalog Volumes are designed for storing and managing unstructured data files, not for orchestrating application deployments or managing infrastructure configuration. While they are useful for data storage, they do not provide the framework required to define, package, and deploy Databricks resources as code.
- ✓
Databricks Asset Bundles
Why this is correct
Databricks Asset Bundles allow users to define their Databricks resources in code and deploy them using the Databricks CLI. This approach is the standard for infrastructure-as-code in the Databricks ecosystem, providing a unified way to manage complex deployments across different environments with automated CI/CD integration.
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SQL Warehouses
Why it's wrong here
SQL Warehouses are compute resources specifically optimized for SQL query execution and BI dashboards. They are not intended for infrastructure management or application deployment orchestration. They serve as the execution engine for data analysis, not as a tool for managing the lifecycle of your deployment projects.
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Delta Sharing
Why it's wrong here
Delta Sharing is an open protocol for secure data sharing across organizations. It focuses on data governance and access control rather than the deployment, orchestration, or versioning of application infrastructure. It does not provide the capability to manage Databricks jobs or model serving endpoints as code.
About these practice questions
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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-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.