Why agents represent the next AI paradigm in Agentic AI - Test Your Understanding

Practice - 5 Tasks

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

💡 Hint

Common Mistakes

Using 'agent' instead of 'name' as the value.

Using 'self' which is the instance, not the parameter.

The agent's name is set by assigning the parameter 'name' to the instance variable self.name.

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

💡 Hint

Common Mistakes

Using 'task' instead of the agent's name.

Using 'name' which is not defined in this method.

The agent's name is stored in self.name, which is used to identify the agent in the print statement.

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

💡 Hint

Common Mistakes

Using dot notation which does not work for dictionaries.

Returning the score instead of the action.

The best option is a dictionary, so to get the action, use best_option['action'].

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'

A>

B5

C<

D7

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' causing wrong filtering.

Using 7 instead of 5 as the threshold.

We want tasks with priority greater than 5, so use '>' and 5.

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]

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

A.upper()

B<

C8

D.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using .lower() instead of .upper() for task names.

Using '>' instead of '<' for filtering priorities.

We convert task names to uppercase with .upper(), and filter priorities less than 8 using '<' and 8.