AAIA AI Operations Practice Question
You are managing an Azure Machine Learning workspace and need to ensure that model training jobs are reproducible across environments. Which feature should be configured to capture the exact environment state, including Python packages and system dependencies?
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
✓
Environment objects
Conda or Docker environments are the standard for reproducibility in Azure ML. Environment objects define the exact dependencies required for a job.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure ML Datasets
Why it's wrong here
Datasets manage data versions but do not capture the execution environment.
- ✗
Model Registries
Why it's wrong here
Registries store the artifacts of the model, not the build environment configuration.
- ✗
Compute Targets
Why it's wrong here
Compute targets define hardware resources, not software dependencies.
- ✓
Environment objects
Why this is correct
Environment objects define the exact dependencies, ensuring the same environment is used across local, compute instance, and cluster training.
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 August 2026 · checked against the official ISACA exam blueprint
This AAIA practice question is part of Courseiva's free ISACA 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 AAIA exam.