Fallback and error handling in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to catch an error during model prediction.

Prompt Engineering / GenAI

try:
    prediction = model.predict(data)
except [1]:
    prediction = None

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

AValueError

BKeyError

CTypeError

DException

Attempts:

3 left

💡 Hint

Common Mistakes

Using a specific error type that might miss other errors.

Using Exception catches all errors during prediction, allowing fallback handling.

2fill in blank

medium

Complete the code to provide a fallback prediction when the model fails.

Prompt Engineering / GenAI

try:
    result = model.predict(input_data)
except Exception:
    result = [1]

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

Amodel.predict(default_data)

BNone

Cinput_data

D[]

Attempts:

3 left

💡 Hint

Common Mistakes

Setting result to None which may cause errors later.

Fallback prediction uses a default dataset to get a safe prediction.

3fill in blank

hard

Fix the error in the code to log the error message correctly.

Prompt Engineering / GenAI

try:
    output = model.predict(data)
except Exception as [1]:
    print(f"Error: {e}")

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

Aerr

Be

Cexception

Derror

Attempts:

3 left

💡 Hint

Common Mistakes

Mismatch between error variable name and print statement.

The variable name after as must match the one used in the print statement. Here, e is used.

4fill in blank

hard

Fill both blanks to retry prediction only if the error is a ValueError.

Prompt Engineering / GenAI

try:
    prediction = model.predict(data)
except [1] as e:
    if isinstance(e, [2]):
        prediction = model.predict(fallback_data)

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

AException

BValueError

CTypeError

DKeyError

Attempts:

3 left

💡 Hint

Common Mistakes

Catching only ValueError in except, missing other errors.

Catch all exceptions but retry only if the error is a ValueError.

5fill in blank

hard

Fill all three blanks to log the error, retry prediction, and set fallback if retry fails.

Prompt Engineering / GenAI

try:
    prediction = model.predict(data)
except [1] as err:
    print(f"Error occurred: {err}")
    try:
        prediction = model.predict([2])
    except [3]:
        prediction = None

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

AException

Bfallback_data

DValueError

Attempts:

3 left

💡 Hint

Common Mistakes

Using different error types inconsistently.

Catch all errors, log them, retry with fallback data, and if retry fails, set prediction to None.