[Solved] You have a model with 1000 predictions and 50 failures. You want to analyze failure causes by grouping errors by type:failures = ["typeA", "typeB", "typeA", "typeC", "typeB", "typeA"] error_counts =... | Agentic AI

Agentic AI - Agent Observability

You have a model with 1000 predictions and 50 failures. You want to analyze failure causes by grouping errors by type:

failures = ["typeA", "typeB", "typeA", "typeC", "typeB", "typeA"]
error_counts = {t: failures.count(t) for t in set(failures)}
print(error_counts)

What does this code output?

A{'typeA': 2, 'typeB': 3, 'typeC': 1}

B{'typeA': 1, 'typeB': 1, 'typeC': 1}

C{'typeA': 3, 'typeB': 2, 'typeC': 1}

DSyntax error due to set usage

Step-by-Step Solution

Solution:

Step 1: Identify unique error types
set(failures) = {'typeA', 'typeB', 'typeC'}
Step 2: Count occurrences of each type
typeA appears 3 times, typeB 2 times, typeC 1 time.
Final Answer:
{'typeA': 3, 'typeB': 2, 'typeC': 1} -> Option C
Quick Check:
Count each error type correctly [OK]

Quick Trick: Use set and count to tally error types [OK]

Common Mistakes:

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