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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project.
What is the best course of action to take with this data?

A) Data integration focused on reducing the number of data sources.
B) Data Deduping to reduce overall size and data complexity.
C) Data selection and attribute pruning to reduce overall size and data complexity.
D) Careful algorithm selection that reduces the need for data.

2. For AI projects the code and systems don't matter as much as the dat

A) Understanding which algorithms are best for your data needs.
B) Collect enormous amounts of data - the more data the better.
C) Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
D) In fact, big data is what's powering much of this latest wave of AI. What's most important for your company to consider around data?
E) Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.

3. You have been tasked at your organization to manage a large language model (LLM) project.
Identify what LLMs are useful for. (Select all that apply.)

A) Text summarization
B) Machine Translation
C) Process automation
D) Code generation
E) Improve search quality
F) Classify and categorize content

4. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A) The volume of the data you collect
B) The quality of the data you collect
C) The makeup of your data team
D) The location/source of your data collection

5. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

A) Multiclass Classification
B) Binary (or Binomial) Classification
C) Regression
D) Clustering

Solutions: