PMI PMI-CPMAI 시험요강:
| 주제 | 소개 |
|---|
| 주제 1 | - Matching AI with Business Needs (Phase I): This section of the exam measures the skills of a Business Analyst and covers how to evaluate whether AI is the right fit for a specific organizational problem. It focuses on identifying real business needs, checking feasibility, estimating return on investment, and defining a scope that avoids unrealistic expectations. The section ensures that learners can translate business objectives into AI project goals that are clear, achievable, and supported by measurable outcomes.
|
| 주제 2 | - The Need for AI Project Management: This section of the exam measures the skills of an AI Project Manager and covers why many AI initiatives fail without the right structure, oversight, and delivery approach. It explains the role of iterative project cycles in reducing risk, managing uncertainty, and ensuring that AI solutions stay aligned with business expectations. It highlights how the CPMAI methodology supports responsible and effective project execution, helping candidates understand how to guide AI projects ethically and successfully from planning to delivery.
|
| 주제 3 | - Testing and Evaluating AI Systems (Phase V): This section of the exam measures the skills of an AI Quality Assurance Specialist and covers how to evaluate AI models before deployment. It explains how to test performance, monitor for drift, and confirm that outputs are consistent, explainable, and aligned with project goals. Candidates learn how to validate models responsibly while maintaining transparency and reliability.}
|
| 주제 4 | - Operationalizing AI (Phase VI): This section of the exam measures the skills of an AI Operations Specialist and covers how to integrate AI systems into real production environments. It highlights the importance of governance, oversight, and the continuous improvement cycle that keeps AI systems stable and effective over time. The section prepares learners to manage long term AI operation while supporting responsible adoption across the organization.
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| 주제 5 | - Identifying Data Needs for AI Projects (Phase II): This section of the exam measures the skills of a Data Analyst and covers how to determine what data an AI project requires before development begins. It explains the importance of selecting suitable data sources, ensuring compliance with policy requirements, and building the technical foundations needed to store and manage data responsibly. The section prepares candidates to support early data planning so that later AI development is consistent and reliable.
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| 주제 6 | - Managing Data Preparation Needs for AI Projects (Phase III): This section of the exam measures the skills of a Data Engineer and covers the steps involved in preparing raw data for use in AI models. It outlines the need for quality validation, enrichment techniques, and compliance safeguards to ensure trustworthy inputs. The section reinforces how prepared data contributes to better model performance and stronger project outcomes.
|
참조: https://www.pmi.org/certifications/ai-project-management-cpmai
PMI PMI-CPMAI 시험 개요:
| 인증 벤더: | PMI (Project Management Institute) |
| 시험명: | PMI Certified Professional in Managing AI |
| 시험 번호: | PMI-CPMAI |
| 관련 자격증: | PMP (Project Management Professional)
PMI-ACP (Agile Certified Practitioner)
PMI-PBA (Professional in Business Analysis) |
| 자격증 유효 기간: | 3년 |
| 지원 언어: | English |
| 합격 점수: | 공개되지 않음 |
| 시험 시간: | 150 minutes |
| 실제 시험 문항 수: | 120 |
| 시험 형식: | Multiple Choice |
| 응시료: | PMI 회원 USD $520 / 비회원 USD $670 |
| 샘플 문제: | PMI PMI-CPMAI 샘플 문제 |
| 응시 방법: | 전 세계 PMI 공인 Pearson VUE 테스트 센터에서 컴퓨터 기반 시험(CBT)으로 진행 |
| 전제 조건: | 필수 선수 조건은 없습니다. 다만, 기본적인 프로젝트 관리 지식(PMP 또는 이에 상응하는 경력)이 권장됩니다. PMI 회원 가입을 진행하는 경우 고등학교 졸업 학력이 요구됩니다. |
| 공식 요강 URL: | https://www.pmi.org/certifications/certified-professional-managing-ai-cp-ai |
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