Databricks-GenAI-Assoc Assembling and Deploying Apps Practice Question
Which of the following is a primary reason to prefer Databricks Asset Bundles (DABs) over manual workspace deployment?
⚠ Common exam trap
Candidates tend to think DABs are just a specialized Python library or cluster type, forgetting their core value is automated, version-controlled infrastructure deployment.
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
✓
DABs allow for version-controlled and automated deployments.
The primary advantage of DABs is the elimination of manual, error-prone configuration. By defining infrastructure as code, teams gain repeatability, version control, and automation. This leads to significantly fewer deployment failures and allows for consistent, auditable environments across development and production. It is a fundamental shift toward mature MLOps practices, where infrastructure is as controlled and tested as the application code itself.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
DABs provide better performance for Spark queries.
Why it's wrong here
DABs are a deployment and orchestration tool, not a data processing engine. They have no impact on Spark query performance. Query performance is determined by cluster configuration, data storage formats, and code optimization, which are entirely separate from the process used to deploy the job definition.
- ✓
DABs allow for version-controlled and automated deployments.
Why this is correct
DABs enable infrastructure-as-code, meaning configurations are stored in version control (like Git). This allows for automated deployments via CI/CD, enabling reproducible environments, easier rollbacks, and a clear audit trail of all changes made to the infrastructure, which is a major improvement over manual, ad-hoc workspace changes.
- ✗
DABs automatically convert your code to SQL.
Why it's wrong here
DABs have no capability to transpile code from one language to another. They are strictly a tool for packaging, organizing, and deploying assets. They do not interpret or modify the content of the notebooks or scripts they manage, other than injecting environment-specific variables defined in the configuration.
- ✗
DABs require less memory to run than the standard workspace.
Why it's wrong here
DABs are a client-side command-line tool. They do not run in the workspace in a way that consumes cluster memory. The memory usage of a DAB tool is minimal and irrelevant to the performance of the actual data processing jobs or models being deployed to the Databricks workspace.
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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.