PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification - CPMAI_v7무료 덤프문제 풀어보기
Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:
정답: C
설명: (Fast2test 회원만 볼 수 있음)
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.)
What could have been done better to get the team to feel comfortable with this technology and use it? (Select all that apply.)
정답: A,B,C,D
설명: (Fast2test 회원만 볼 수 있음)
Senior management has tasked your group to analyze a data set to uncover insights into the data. What is the best approach to use to do this?
정답: A
설명: (Fast2test 회원만 볼 수 있음)
You've built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?
정답: A
설명: (Fast2test 회원만 볼 수 있음)
The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?
정답: E
설명: (Fast2test 회원만 볼 수 있음)
You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?
정답: C
설명: (Fast2test 회원만 볼 수 있음)
Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind. At what phase of CPMAI would Trustworthy AI be considered?
정답: G
설명: (Fast2test 회원만 볼 수 있음)
You need to hire a data scientist to join your team. What skill sets should you be looking for when hiring and interviewing this person? (Select all that apply.)
정답: A,C,E,F
설명: (Fast2test 회원만 볼 수 있음)
Data Engineering is 80%+ of most AI projects, so building a good Data Engineering Environment is key to AI Project Success. As the manager of this project, you need to make sure you have correct staffing needs.
What's the most critical role to staff for in the Big Data / Data Engineering Environment?
What's the most critical role to staff for in the Big Data / Data Engineering Environment?
정답: B
설명: (Fast2test 회원만 볼 수 있음)