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

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

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

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

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