Domain III · Identify Data Needs · 26% of the exam
III.4 Coordinate AI workspace and infrastructure
Task 4 of Identify Data Needs
May 9: High Sept 6: Low Study Hall misses: 1 Logged: 0
Enablers (verbatim, ECO)
PMI, ECO p. 5: enablers are "illustrative examples of the work associated with the task" and "not meant to be an exhaustive list but rather offer a few examples to help demonstrate what the task encompasses."
Ours: PMI's stems paraphrase one of these as a symptom; the right option is that enabler in PMI's words; the distractors are its siblings or a neighbouring task's enablers.
- Provision computing resources for data processing and model training
- Establish secure development environments for AI teams
- Configure data storage and backup systems for project needs
- Set up collaboration tools and version control systems
- Ensure compliance with security and governance requirements
The rule
Repeated failures from insufficient compute mean assess the requirements and provision the infrastructure. More stakeholder reviews do not fix the cause.
Study Hall misses on this task (1)
- Full-length Q101 · confidence High · 38sScenario: Repeated training failures from insufficient computeDecided by: Assess requirements and provision infrastructure before trainingChose: More stakeholder reviews (PM-sounding, does not fix the cause)
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What to read
- Module 06 Lessons 6-10: The Four Different AI Technology Environments
- Module 03 Lesson 4: Data Engineering and Data Pipelines; Lesson 5: Data Engineering Concepts
- Workbook p. 46-47 — Execution Feasibility
- Study guide Lesson 28: ECO Task III.4 — Coordinate AI Workspace and Infrastructure
Glossary terms in the enablers: data storage