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Agentic AIml~10 mins

Human approval workflows in Agentic AI - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to send a request for human approval.

Agentic AI
approval_request = HumanApprovalRequest([1]='Please review this action')
Drag options to blanks, or click blank then click option'
Amessage
Bcontent
Ctext
Dprompt
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'content' or 'text' instead of 'message' causes errors.
Leaving the parameter name blank results in a syntax error.
2fill in blank
medium

Complete the code to check if the human approved the request.

Agentic AI
if approval_response.[1]():
    print('Approved')
else:
    print('Denied')
Drag options to blanks, or click blank then click option'
Aapproved
Bis_approved
Ccheck_approval
Dget_approval
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'approved' as a property instead of a method causes errors.
Calling a non-existent method like 'check_approval()' leads to runtime errors.
3fill in blank
hard

Fix the error in the code to wait for human approval asynchronously.

Agentic AI
approval_response = await approval_request.[1]()
Drag options to blanks, or click blank then click option'
Asend
Bget_response
Crequest
Dwait_for_response
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'send()' does not wait for the human response.
Calling 'request()' or 'get_response()' are invalid method names.
4fill in blank
hard

Fill both blanks to create a dictionary of approval status for each task.

Agentic AI
approval_status = {task: response.[1]() for task, response in responses.items() if not response.[2]()}
Drag options to blanks, or click blank then click option'
Ais_approved
Bis_pending
Dis_denied
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'is_denied()' in the filter excludes approved tasks.
Using the same method for both blanks causes logic errors.
5fill in blank
hard

Fill all three blanks to build a summary report of human approvals.

Agentic AI
summary = [1]([2] for [3] in approval_responses if [3].is_approved())
Drag options to blanks, or click blank then click option'
Asum
B1
Cresponse
Dlen
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'len' with a generator expression causes errors.
Using a variable name other than 'response' breaks the loop.

Practice

(1/5)
1. What is the main purpose of a human approval workflow in AI systems?
easy
A. To have people check AI decisions for important or sensitive tasks
B. To replace AI models with human decision-making completely
C. To speed up AI processing by skipping checks
D. To train AI models without any human input

Solution

  1. Step 1: Understand the role of human approval workflows

    Human approval workflows are designed to combine AI with human checks to ensure important decisions are correct and safe.
  2. Step 2: Identify the correct purpose

    The main goal is to have humans review AI decisions when needed, especially for sensitive or critical tasks.
  3. Final Answer:

    To have people check AI decisions for important or sensitive tasks -> Option A
  4. Quick Check:

    Human approval = human checks on AI decisions [OK]
Hint: Human approval means people check AI decisions [OK]
Common Mistakes:
  • Thinking human approval replaces AI fully
  • Believing it speeds up AI by skipping checks
  • Assuming it trains AI without humans
2. Which of the following is the correct way to write a condition that asks for human approval if the AI confidence is below 0.7?
easy
A. if confidence != 0.7: request_approval()
B. if confidence < 0.7: request_approval()
C. if confidence == 0.7: request_approval()
D. if confidence > 0.7: request_approval()

Solution

  1. Step 1: Understand the condition logic

    We want to request human approval when confidence is less than 0.7, so the condition should check for values below 0.7.
  2. Step 2: Match the correct syntax

    The correct syntax is if confidence < 0.7: followed by the approval request function.
  3. Final Answer:

    if confidence < 0.7: request_approval() -> Option B
  4. Quick Check:

    Less than 0.7 triggers approval [OK]
Hint: Use < for 'below' conditions in code [OK]
Common Mistakes:
  • Using > instead of <
  • Checking equality instead of less than
  • Using != which triggers on all but 0.7
3. Given this code snippet, what will be printed if confidence = 0.65?
if confidence < 0.7:
    print('Request human approval')
else:
    print('Auto approve')
medium
A. Auto approve
B. No output
C. Request human approval
D. Syntax error

Solution

  1. Step 1: Check the condition with given confidence

    Since confidence is 0.65, which is less than 0.7, the condition confidence < 0.7 is true.
  2. Step 2: Determine which print statement runs

    Because the condition is true, the code prints 'Request human approval'.
  3. Final Answer:

    Request human approval -> Option C
  4. Quick Check:

    0.65 < 0.7 triggers approval print [OK]
Hint: Check if confidence is less than threshold to decide output [OK]
Common Mistakes:
  • Choosing 'Auto approve' by confusing condition
  • Thinking no output occurs
  • Assuming syntax error without checking code
4. Identify the error in this human approval workflow code snippet:
def check_approval(confidence):
    if confidence < 0.7
        return 'Request approval'
    else:
        return 'Auto approve'
medium
A. Function missing return statement
B. Wrong comparison operator
C. Indentation error in else block
D. Missing colon after if statement

Solution

  1. Step 1: Check syntax of if statement

    The if statement is missing a colon (:) at the end, which is required in Python syntax.
  2. Step 2: Verify other parts of the code

    The comparison operator is correct, indentation looks fine, and return statements are present.
  3. Final Answer:

    Missing colon after if statement -> Option D
  4. Quick Check:

    Python if needs colon [:] [OK]
Hint: Check for colons after if/else statements [OK]
Common Mistakes:
  • Ignoring missing colon syntax error
  • Thinking indentation is wrong
  • Assuming return statements are missing
5. You want to build a human approval workflow that requests approval only if the AI confidence is below 0.7 or if the task is marked as 'high risk'. Which condition correctly implements this logic in Python?
hard
A. if confidence < 0.7 or task == 'high risk': request_approval()
B. if confidence < 0.7 and task == 'high risk': request_approval()
C. if confidence >= 0.7 or task != 'high risk': request_approval()
D. if confidence > 0.7 and task == 'high risk': request_approval()

Solution

  1. Step 1: Understand the logic needed

    Approval is requested if confidence is below 0.7 OR the task is 'high risk'. This means either condition triggers approval.
  2. Step 2: Match the correct Python condition

    The correct condition uses the 'or' operator to combine the two checks: confidence < 0.7 or task == 'high risk'.
  3. Final Answer:

    if confidence < 0.7 or task == 'high risk': request_approval() -> Option A
  4. Quick Check:

    Use 'or' for either condition triggering approval [OK]
Hint: Use 'or' to combine conditions for approval [OK]
Common Mistakes:
  • Using 'and' instead of 'or' which requires both true
  • Reversing comparison operators
  • Confusing task string equality