Practice - 5 Tasks

Answer the questions below

1fill in blank

easy

Complete the code to create a simple AI agent class.

Agentic_ai

class Agent:
    def __init__(self, name):
        self.name = [1]

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

Aname

Bagent

Cself

DAI

Attempts:

3 left

2fill in blank

medium

Complete the code to make the agent perform an action.

Agentic_ai

class Agent:
    def act(self, task):
        print(f"Agent [1] is performing: {task}")

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

Aaction

Btask

Cname

Dself.name

Attempts:

3 left

3fill in blank

hard

Fix the error in the agent's decision method to return the correct action.

Agentic_ai

class Agent:
    def decide(self, options):
        best_option = max(options, key=lambda x: x['score'])
        return best_option[1]

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

A['score']

B['action']

C.action

D.score

Attempts:

3 left

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps tasks to their priorities if priority is above 5.

Agentic_ai

tasks = ['clean', 'cook', 'shop']
priorities = {'clean': 7, 'cook': 4, 'shop': 9}
high_priority = {task: priorities[task] for task in tasks if priorities[task] [1] [2]

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

Attempts:

3 left

5fill in blank

hard

Fill all three blanks to create a dictionary of task names in uppercase mapped to their priority if priority is less than 8.

Agentic_ai

tasks = ['read', 'write', 'code']
priorities = {'read': 6, 'write': 8, 'code': 7}
filtered_tasks = {task[1]: priorities[task] for task in tasks if priorities[task] [2] [3]

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A.upper()

D.lower()

Attempts:

3 left