Queue-based task processing in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a task to the queue.

Agentic AI

task_queue.[1](new_task)

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

Aremove

Bpop

Cappend

Dclear

Attempts:

3 left

💡 Hint

Common Mistakes

Using pop instead of append removes an item instead of adding.

Using remove tries to delete a specific item, not add one.

To add a task to the queue, we use the append method which adds an item to the end of the list.

2fill in blank

medium

Complete the code to get the next task from the queue.

Agentic AI

next_task = task_queue.[1](0)

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

Aappend

Bpop

Cinsert

Dclear

Attempts:

3 left

💡 Hint

Common Mistakes

Using append adds an item instead of removing.

Using insert adds an item at a position, not remove.

To get and remove the first task from the queue, we use pop(0) which removes the item at index 0.

3fill in blank

hard

Fix the error in the code to check if the queue is empty.

Agentic AI

if len(task_queue) [1] 0:
    print('Queue is empty')

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

A>

B!=

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' checks for non-empty instead of empty.

Using '>' or '<' does not correctly check for empty.

To check if the queue is empty, we compare its length to zero using ==.

4fill in blank

hard

Fill both blanks to create a dictionary of task names and their priorities for tasks with priority higher than 5.

Agentic AI

high_priority_tasks = {task[1]: task.priority for task in tasks if task.priority [2] 5}

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

A.name

B>

C<

D_id

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' filters tasks with lower priority.

Using '_id' accesses the wrong attribute.

We access the task name with .name and filter tasks with priority greater than 5 using >.

5fill in blank

hard

Fill all three blanks to create a dictionary of task IDs and their statuses for tasks that are completed.

Agentic AI

completed_tasks = {task[1]: task[2] for task in tasks if task.status [3] 'done'}

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

A.id

B.status

C==

D.name

Attempts:

3 left

💡 Hint

Common Mistakes

Using '.name' instead of '.id' for keys.

Using '!=' instead of '==' for filtering.

The dictionary keys are task IDs accessed by .id, values are statuses accessed by .status, and we filter tasks where status equals 'done' using ==.