Why cloud computing enables scale in Intro to Computing - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to show how cloud computing allows adding more {{BLANK_1}} easily.

Intro to Computing

servers = ['server1', 'server2']
servers.append([1])

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

A'server3'

B'server1'

Cserver3

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Using a variable without quotes causes an error.

Adding a number instead of a server name.

In cloud computing, you can add new servers like 'server3' easily to increase capacity.

2fill in blank

medium

Complete the code to represent how cloud resources can be {{BLANK_1}} or down quickly.

Intro to Computing

def scale_resources(action):
    if action == '[1]':
        return 'Resources increased'
    else:
        return 'Resources decreased'

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

Ascaled

Bscaled down

Cscaled up

Dscaled quickly

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'scaled' alone is vague.

Using 'scaled down' means decreasing, not increasing.

Cloud computing allows resources to be scaled up (increased) or down quickly.

3fill in blank

hard

Fix the error in the code that simulates cloud scaling by filling the blank.

Intro to Computing

resources = 5
resources = resources [1] 3  # Increase resources by 3

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A-

B+

C*

D/

Attempts:

3 left

💡 Hint

Common Mistakes

Using '-' decreases resources.

Using '*' multiplies resources incorrectly.

To increase resources by 3, use the '+' operator.

4fill in blank

hard

Fill the blank to create a dictionary showing resource names and their {{BLANK_1}} in cloud scaling, filtering only those with {{BLANK_2}} usage above 50.

Intro to Computing

resources = {'server1': 45, 'server2': 60, 'server3': 75}
high_usage = {name: usage for name, usage in resources.items() if usage [1] 50}

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A!=

B<

C==

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' filters lower usage.

Using '==' filters only exactly 50.

The dictionary comprehension filters servers with usage greater than 50 using the '>' operator.

5fill in blank

hard

Fill all three blanks to create a dictionary that maps server names in uppercase to their {{BLANK_1}}, including only those with usage {{BLANK_2}} 50 and {{BLANK_3}} 80.

Intro to Computing

resources = {'server1': 45, 'server2': 60, 'server3': 75, 'server4': 85}
filtered = {name[1]: usage for name, usage in resources.items() if usage [2] 50 and usage [3] 80}

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

A.upper()

B>

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' filters exact values only.

Mixing up '>' and '<' operators.

The dictionary maps uppercase server names to usage, filtering usage greater than 50 and less than 80.