Identify Project Resources (e.g., People, Hardware, Contractors) PMI-CPMAI Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   A project needs a data labeling tool to annotate images for training. The project manager must engage with which department to acquire this tool?

   • AHuman resources
   • BProcurement
   • CFacilities management
   • DExecutive leadership
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2. 2application · medium

   A manufacturing company wants to implement a predictive maintenance solution using sensor data from its equipment. The internal IT team has strong software development skills but has never worked on machine learning projects. The company's data is stored in a proprietary format that requires specialized domain knowledge to interpret. Which situation most clearly indicates the need to hire an external contractor?

   • AThe company has budget available for training its internal team on ML concepts.
   • BThe company does not have a data scientist on staff, and the project requires expertise in both ML and the proprietary sensor data format.
   • CThe internal team lacks experience with the specific ML algorithms needed for time-series forecasting.
   • DThe internal team is already at full capacity with ongoing software projects.
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4. 3expert · hard

   A healthcare company is developing an AI system to assist radiologists in reading X-rays. The project requires expertise in medical imaging, deep learning, and regulatory compliance. The company has a team of software engineers and a few data analysts, but no one with medical imaging experience. The project has a strict regulatory deadline. What is the most appropriate way to address the skill gap?

   • ATrain the internal data analysts in medical imaging through online courses.
   • BDelay the project until the internal team can be trained, even if it means missing the regulatory deadline.
   • CPartner with a university research lab to develop the model, even if it means a longer timeline.
   • DHire a contractor with medical imaging and deep learning expertise to lead the model development, while the internal team handles integration and compliance.
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5. 4application · medium

   An AI project plan includes the following phases: data collection, model training, and deployment. The data collection phase requires significant manual effort from business analysts. The model training phase requires GPU resources. The deployment phase requires cloud infrastructure and DevOps support. Which resource allocation strategy is most effective?

   • AAssign DevOps engineers to the data collection phase to help with data pipelines.
   • BKeep business analysts on the project throughout all phases to provide domain context.
   • CAllocate business analysts full-time during data collection, then shift them to other projects while GPU and DevOps resources are used in later phases.
   • DPurchase GPUs upfront and keep them idle until training begins, to ensure availability.
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6. 5foundation · easy

   A project manager is selecting a vendor to provide AI consulting services. What is the first step in the vendor selection process?

   • AOnboard the vendor
   • BDefine the requirements and scope of work
   • CSign a contract
   • DEvaluate vendor performance
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