PMI Certified Professional in Managing AI
Last Update 1 week ago
Total Questions : 102
Dive into our fully updated and stable PMI-CPMAI practice test platform, featuring all the latest CPMAI exam questions added this week. Our preparation tool is more than just a PMI study aid; it's a strategic advantage.
Our CPMAI practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about PMI-CPMAI. Use this test to pinpoint which areas you need to focus your study on.
An AI project team with a manufacturing company needs to ensure data integrity before moving to model development. They discovered some data inconsistencies due to manual entry errors.
What is an effective method that helps to ensure data integrity?
An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient.
Which action should occur?
A development team is tasked with creating an AI system to assist physicians with diagnosing medical conditions. They encountered cases where symptoms do not always lead to well-defined diagnoses.
Which approach should the project manager integrate to handle the inherent uncertainty?
An aerospace company is evaluating whether their sensor data meets the requirements for an AI-based predictive maintenance system. The project team needs to ensure that the data's accuracy, resolution, and timeliness are adequate to predict equipment failures.
Which method addresses the requirements?
A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains.
Which method will help identify the qualified data SMEs?
A project manager is tasked with ensuring that an AI project complies with data regulations before data collection begins. This involves identifying all necessary requirements for trustworthy AI, including ethical considerations, privacy, and transparency.
What should the project manager do first?
A government agency plans to increase personalization of their AI public services platform. The agency is concerned that the personal information may be hacked.
Which action should occur to achieve the agency’s goals?
An AI project team has identified a gap in their data knowledge and experience. They need to address this issue in order to proceed with their AI implementation.
What is the effective solution?
A project team at a healthcare provider is determining whether their patient records are adequate for an AI diagnostic tool. They need to validate that the data covers a broad spectrum of conditions and demographics.
What is an effective method to assure data suitability?
A hospital system has been using a chatbot and has received complaints from end users. The end users believe they are speaking to a person but are frustrated when answers do not make sense.
To help ensure end users know that they are engaging with an AI chatbot, what should be considered to support transparency?
TESTED 01 Dec 2025
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