PMI
CPMAI · Question #32
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…
The correct answer is A. Data selection and attribute pruning to reduce overall size and data complexity. You've hit your limit · resets 12:50am (America/New_York)
Execute AI Project Delivery
Question
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?
Options
- AData selection and attribute pruning to reduce overall size and data complexity.
- BData Deduping to reduce overall size and data complexity.
- CData integration focused on reducing the number of data sources.
- DCareful algorithm selection that reduces the need for data.
How the community answered
(54 responses)- A70% (38)
- B17% (9)
- C9% (5)
- D4% (2)
Explanation
You've hit your limit · resets 12:50am (America/New_York)
Topics
#data selection#attribute pruning#data complexity#data volume management
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