Caching and result reuse in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to store the result in cache after computation.

Agentic AI

cache['result'] = [1](data)

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

Aprocess_data

Bload_data

Cclear_cache

Dreset_data

Attempts:

3 left

💡 Hint

Common Mistakes

Using a function that does not compute the result, like loading or clearing data.

The function process_data computes the result which we want to cache for reuse.

2fill in blank

medium

Complete the code to check if the result is already cached before computing.

Agentic AI

if 'result' not in cache:
    cache['result'] = [1](input_data)

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

Areset_result

Bclear_cache

Cload_cache

Dcompute_result

Attempts:

3 left

💡 Hint

Common Mistakes

Calling functions that clear or reset cache instead of computing the result.

We only compute the result if it is not already in the cache, so we call compute_result.

3fill in blank

hard

Fix the error in the code to reuse cached results properly.

Agentic AI

def get_result(data):
    if [1] in cache:
        return cache['result']
    cache['result'] = compute(data)
    return cache['result']

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

A'result'

Bresult

C'cache'

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Checking for a variable instead of a string key in the dictionary.

The key to check in the cache dictionary must be a string, so it should be 'result'.

4fill in blank

hard

Fill both blanks to create a cache dictionary that stores results only if input is new.

Agentic AI

def cached_compute(input):
    if input [1] cache:
        return cache[input]
    cache[input] = [2](input)
    return cache[input]

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

Anot in

Bin

Ccompute_result

Dclear_cache

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'in' instead of 'not in' causes recomputation to be skipped incorrectly.

Calling a function that clears cache instead of computing result.

We check if the input is not in cache to avoid recomputation, then compute and store the result.

5fill in blank

hard

Fill all three blanks to implement a caching mechanism with a function and cache dictionary.

Agentic AI

cache = {}

def [1](x):
    if x [2] cache:
        return cache[x]
    cache[x] = [3](x)
    return cache[x]

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

Aget_cached_result

Bnot in

Cexpensive_calculation

Dclear_cache

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'in' instead of 'not in' causes wrong caching behavior.

Using a function that clears cache instead of computing result.

The function get_cached_result checks if x is not in cache, then calls expensive_calculation to compute and store the result.