Why monitoring detects threats early in Cybersecurity - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to show what monitoring tools check first.

Cybersecurity

if system_logs.[1]('error') != -1:
    alert_admin()

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

Afind

Bsearch

Cindex

Dcontains

Attempts:

3 left

💡 Hint

Common Mistakes

Using methods that do not exist on strings like 'search' or 'contains'

Using 'index' which raises an exception if not found

The find method returns -1 if the pattern is not found, which helps detect threats early.

2fill in blank

medium

Complete the code to trigger an alert when CPU usage is high.

Cybersecurity

if cpu_usage [1] 80:
    send_alert('High CPU usage')

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

A>

B==

C<

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using less than operator

Using equality operator instead of comparison

The operator > checks if CPU usage is greater than 80%, which indicates a potential threat or overload.

3fill in blank

hard

Fix the error in the code that checks for unusual login attempts.

Cybersecurity

if login_attempts.get('user123', 0) [1] 5:
    lock_account('user123')

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

A=>

B>=

C==

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using => which is invalid in Python

Using == which checks equality only

The correct operator is >= to check if login attempts are 5 or more.

4fill in blank

hard

Fill both blanks to filter logs for failed login attempts over 3 times.

Cybersecurity

suspicious_users = {user: count for user, count in login_failures.items() if count [1] [2]

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

A>

B3

C==

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using equality instead of greater than

Using less than which filters wrong users

The code filters users with failed login counts greater than 3.

5fill in blank

hard

Fill both blanks to create a dictionary of IPs with requests over 100.

Cybersecurity

high_traffic_ips = { ip: count for ip, count in requests.items() if count {BLANK_2}} {{BLANK_2}}

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

A{

B>

C100

D[

Attempts:

3 left

💡 Hint

Common Mistakes

Using square brackets which create lists

Using less than operator

Missing the opening brace

The dictionary comprehension starts with {, filters counts greater than 100.