Regulatory compliance (GDPR, AI Act) in MLOps - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to log user consent before processing data.

MLOps

if user.has_given_[1]():
    process_data(user.data)

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

Aconsent

Bagreement

Cpermission

Dapproval

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'approval' or 'permission' which are not the exact GDPR term.

Under GDPR, explicit consent is required before processing personal data.

2fill in blank

medium

Complete the code to anonymize data before storage.

MLOps

def anonymize(data):
    return data.[1]()

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

Ahash

Bencrypt

Ccompress

Dserialize

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'encrypt' which can be reversed, not anonymized.

Hashing data helps anonymize it by replacing original values with fixed-length codes.

3fill in blank

hard

Fix the error in the compliance check function.

MLOps

def check_compliance(data):
    if data.get('age') [1] 16:
        return False
    return True

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

A<

B>=

C==

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' which rejects compliant users.

GDPR requires parental consent if age is below 16, so data with age >= 16 is compliant.

4fill in blank

hard

Fill both blanks to filter AI model logs for GDPR compliance.

MLOps

filtered_logs = {entry: logs[entry] for entry in logs if logs[entry].get('user_id') [1] None and logs[entry].get('consent') [2] True}

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

Ais not

B==

C!=

Dis

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'is' instead of 'is not' for None check.

We check that 'user_id' is not None and 'consent' equals True to comply with GDPR.

5fill in blank

hard

Fill all three blanks to create a dictionary of user data complying with AI Act transparency rules.

MLOps

user_data = [1]: [2] for [3] in raw_data if raw_data[[3]].get('consent')

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

Auser_id

Binfo

Cuser

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing variable names causing syntax errors.

The dictionary comprehension uses 'user' as key, 'data' as value, iterating over 'user' in raw_data.