Error rate and failure analysis in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the error rate given the number of errors and total samples.

Agentic AI

error_rate = errors / [1]

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Atotal_samples

Bcorrect_predictions

Cerrors

Dpredictions

Attempts:

3 left

💡 Hint

Common Mistakes

Dividing errors by errors instead of total samples

Using correct predictions as denominator

The error rate is calculated by dividing the number of errors by the total number of samples.

2fill in blank

medium

Complete the code to compute the failure rate as a percentage.

Agentic AI

failure_rate = (failures / total_tests) * [1]

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A10

B0.01

C100

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Multiplying by 0.01 instead of 100

Forgetting to multiply at all

To convert a fraction to a percentage, multiply by 100.

3fill in blank

hard

Fix the error in the code to calculate the failure count from error rate and total attempts.

Agentic AI

failure_count = [1] * total_attempts

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Asuccess_rate

Berror_rate

Ctotal_attempts

Dfailure_rate

Attempts:

3 left

💡 Hint

Common Mistakes

Using total_attempts instead of error_rate

Using success_rate which is the opposite

The failure count is the error rate multiplied by the total number of attempts.

4fill in blank

hard

Fill both blanks to create a dictionary that maps test names to their failure counts only if failures are greater than zero.

Agentic AI

failure_dict = {test: [1] for test, failures in test_results.items() if failures [2] 0}

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Afailures

B>

C==

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using equality instead of greater than

Using test name instead of failure count as value

The dictionary comprehension includes only tests with failures greater than zero, mapping test names to failure counts.

5fill in blank

hard

Fill all three blanks to create a dictionary of failure rates for tests with failures above threshold.

Agentic AI

failure_rates = {test: failures / [1] for test, failures in test_results.items() if failures [2] threshold and failures [3] 0}

Drag options to blanks, or click blank then click option'

Atotal_tests

B>

C!=

Dtotal_attempts

Attempts:

3 left

💡 Hint

Common Mistakes

Using total_tests instead of total_attempts

Using equality instead of inequality in conditions

The failure rate is failures divided by total attempts. The dictionary includes tests where failures are greater than the threshold and not zero.