What is the Palo Alto Networks recommended setting for the Prisma Cloud Training Model Threshold?

Question

Options

• ALow
• BThorough
• CHigh
• DBaseline

• A
  2% (1)
• B
  4% (2)
• C
  87% (40)
• D
  7% (3)

Explanation

Palo Alto Networks recommends High as the Training Model Threshold in Prisma Cloud because it ensures the anomaly detection ML model collects sufficient data before generating alerts, significantly reducing false positives and producing more accurate, reliable threat detection over time.

Why the distractors are wrong:

• A (Low): A low threshold triggers alerts too early in the training cycle, when the model has insufficient data - flooding analysts with noisy, inaccurate alerts.
• B (Thorough): "Thorough" is not a valid threshold option in Prisma Cloud's anomaly policy settings; it's a distractor designed to sound reasonable.
• D (Baseline): Baseline represents the minimum/starting state, not a tuned recommendation - it lacks the rigor needed for production anomaly detection.

Memory tip: Think "High bar = High quality." Just like a rigorous exam requires more study before you're confident in your answers, a High threshold requires more training data before Prisma Cloud is confident enough to fire an alert - quality over speed.

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