FCP_FWB_AD-7.4 · Question #3
Which three stages are part of creating a machine learning (ML) bot detection algorithm? (Choose three.)
The correct answer is A. Model building C. Model verification D. Sample collecting. Model building: In this stage, you design and develop the ML model, which involves selecting appropriate algorithms and features to detect bot activity. Model verification: This is where you test and evaluate the model's performance to ensure it can accurately detect bots…
Question
Which three stages are part of creating a machine learning (ML) bot detection algorithm? (Choose three.)
Options
- AModel building
- BModel running
- CModel verification
- DSample collecting
- EModel Bayesian analysis
How the community answered
(21 responses)- A81% (17)
- B14% (3)
- E5% (1)
Explanation
Model building: In this stage, you design and develop the ML model, which involves selecting appropriate algorithms and features to detect bot activity. Model verification: This is where you test and evaluate the model's performance to ensure it can accurately detect bots without false positives or negatives. Sample collecting: Gathering relevant data samples (e.g., bot and non-bot traffic) to train the machine learning model is crucial to ensure it can learn from various scenarios.
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