Handling retrieval failures gracefully in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to catch retrieval errors and return None.

Agentic AI

try:
    result = retrieve_data(query)
except [1]:
    result = None

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

ATypeError

BException

CKeyError

DValueError

Attempts:

3 left

💡 Hint

Common Mistakes

Catching only specific errors like KeyError may miss other failures.

Not catching any error causes the program to crash on failure.

Using Exception catches all errors during retrieval, allowing graceful failure.

2fill in blank

medium

Complete the code to retry retrieval up to 3 times on failure.

Agentic AI

for attempt in range(3):
    try:
        data = retrieve_data(query)
        break
    except [1]:
        continue

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

AException

BTimeoutError

CIndexError

DAttributeError

Attempts:

3 left

💡 Hint

Common Mistakes

Using a narrow exception may miss some errors and stop retries.

Not using try-except inside the loop causes crashes.

Using Exception ensures all errors trigger a retry.

3fill in blank

hard

Fix the error in the retrieval fallback code to handle missing keys.

Agentic AI

try:
    value = data['key']
except [1]:
    value = default_value

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

AValueError

BTypeError

CKeyError

DIndexError

Attempts:

3 left

💡 Hint

Common Mistakes

Catching the wrong error type causes the fallback to fail.

Not catching any error leads to program crash on missing keys.

KeyError is raised when a dictionary key is missing, so catching it allows fallback.

4fill in blank

hard

Fill both blanks to log retrieval failure and return fallback data.

Agentic AI

try:
    result = retrieve_data(query)
except [1] as e:
    logger.[2](f"Retrieval failed: {e}")
    result = fallback_data

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

AException

Berror

Dwarning

Attempts:

3 left

💡 Hint

Common Mistakes

Using a narrow exception misses some errors.

Logging with wrong method name causes runtime errors.

Catching Exception logs the error as a warning and returns fallback data.

5fill in blank

hard

Fill all three blanks to implement a safe retrieval with retry and fallback.

Agentic AI

for attempt in range(3):
    try:
        data = retrieve_data(query)
        break
    except [1]:
        logger.[2](f"Attempt {attempt + 1} failed.")
else:
    data = [3]

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

AException

Bwarning

Cfallback_data

Derror

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong exception type causes missed retries.

Logging with wrong method name causes errors.

Not providing fallback data leads to undefined variables.

This code retries retrieval catching all exceptions, logs warnings on failure, and uses fallback data if all attempts fail.