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1. A project team is using a prompt engineering approach to improve AI/machine learning (ML) model outputs. They started with broad questions and then narrowed down the specific elements.
If the team had provided insufficient context, what would be the result?
A) The model would perform more efficiently.
B) The output would include higher accuracy.
C) The responses would lack relevance.
D) The model would generate more creative outputs.
2. Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't using the application as expected.
What could have been done better to get the team to feel comfortable with this technology and use it? (Select all that apply.)
A) Have upper management relay to employees this tool is to augment, and not replace their jobs.
B) Ask end users what information and technology they need to help them do their job better and build the tool to help with these pain points.
C) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.
D) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.
3. Which of the following best describes the technical definition of Machine Learning?
A) The use of computing technology to enable machines to gain cognitive intelligence.
B) An approach to using increasing levels of intelligence to solve greater cognitive needs from unintelligent automation to autonomous business process.
C) A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.
D) The application of pre-defined rules and algorithms to solve complex problems.
4. A logistics company wants to use AI to optimize delivery routes for a client that runs a pizza franchise. Which AI capability should be used?
A) Hyperpersonalization
B) Autonomous systems
C) Conversational
D) Predictive analytics
5. A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project.
What's wrong with this suggestion?
A) Pipelines are model operationalization need specific.
B) Pipelines are pattern and model need specific.
C) Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.
D) There is no issue. Pipelines can be reused as needed between projects.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,B,C,D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B |
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PMI Certified Professional in Managing AI
Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam
Cognitive Project Management in AI (PMI-CPMAI)
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