Immutability for safety in LLD - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to declare an immutable data structure.

LLD

class Config:
    def __init__(self, settings):
        self._settings = [1](settings)

    def get(self, key):
        return key in self._settings

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

Aset

Bdict

Clist

Dfrozenset

Attempts:

3 left

💡 Hint

Common Mistakes

Using mutable types like dict or list which allow changes.

Using frozenset makes the settings immutable, preventing accidental changes.

2fill in blank

medium

Complete the code to ensure thread-safe access to shared data using immutability.

LLD

class SharedData:
    def __init__(self, data):
        self._data = [1](data)

    def read(self):
        return self._data

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

Aset

Blist

Ctuple

Ddict

Attempts:

3 left

💡 Hint

Common Mistakes

Using mutable types like list or dict which can cause race conditions.

Using a tuple ensures the data cannot be changed, making it safe for concurrent reads.

3fill in blank

hard

Fix the error in the code that tries to modify an immutable object.

LLD

config = [1](['read', 'write'])
config.append('execute')

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

Alist

Btuple

Cset

Dfrozenset

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to append to a tuple or frozenset which causes errors.

Only list supports the append method; tuples and frozensets are immutable.

4fill in blank

hard

Fill both blanks to create an immutable configuration dictionary.

LLD

from types import [1]

config = [2]({'host': 'localhost', 'port': 8080})

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

AMappingProxyType

Bdict

CMapping

Dset

Attempts:

3 left

💡 Hint

Common Mistakes

Using mutable dict instead of a read-only proxy.

MappingProxyType creates a read-only view of a dictionary, making it immutable.

5fill in blank

hard

Fill all three blanks to implement a safe update method that returns a new immutable config.

LLD

def update_config(old_config, key, value):
    new_dict = dict(old_config)
    new_dict[[1]] = [2]
    return [3](new_dict)

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

Akey

Bvalue

CMappingProxyType

Ddict

Attempts:

3 left

💡 Hint

Common Mistakes

Modifying the original config directly or returning a mutable dict.

The function copies the old config, updates the key with the new value, and returns an immutable proxy.

Practice

1. What is the main benefit of using immutability in system design?

easy

A. It allows faster data processing by skipping checks.

B. It makes data changeable by multiple users at the same time.

C. It prevents data from being changed after creation, improving safety.

D. It reduces the size of data stored in memory.

Solution

1. Step 1: Understand immutability meaning

   Immutability means data cannot be changed once created.

2. Step 2: Identify safety benefit

   This prevents accidental or concurrent changes, improving safety.

3. Final Answer:

   It prevents data from being changed after creation, improving safety. -> Option C

4. Quick Check:

   Immutability = Prevents changes [OK]

Hint: Immutability means no changes allowed after creation [OK]

Common Mistakes:

• Thinking immutability allows data changes
• Confusing immutability with performance optimization
• Assuming immutability reduces memory size

2. Which of the following code snippets correctly creates an immutable data structure in a low-level design context?

easy

A. Using a constant object or final class with no setters.

B. Using a regular class with public fields that can be changed.

C. Using a mutable list that allows adding or removing items.

D. Using a global variable that can be updated anytime.

Solution

1. Step 1: Identify immutable structure traits

   Immutable means no changes allowed after creation, so no setters or public mutable fields.

2. Step 2: Match code snippet to traits

   Constant object or final class with no setters fits immutability.

3. Final Answer:

   Using a constant object or final class with no setters. -> Option A

4. Quick Check:

   Immutable = constant, no setters [OK]

Hint: Immutable means no setters or public mutable fields [OK]

Common Mistakes:

• Choosing mutable lists or global variables
• Confusing final keyword with mutable fields
• Ignoring setters in class design

3. Consider this pseudo-code snippet for an immutable user profile object:

user = ImmutableUser(name='Alice', age=30)
user.age = 31
print(user.age)

What will be the output?

medium

A. 31

B. None

C. 30

D. Error: Cannot modify immutable object

Solution

1. Step 1: Understand immutability effect on assignment

   Immutable objects do not allow changing fields after creation.

2. Step 2: Analyze the assignment line

   Trying to assign user.age = 31 will cause an error because the object is immutable.

3. Final Answer:

   Error: Cannot modify immutable object -> Option D

4. Quick Check:

   Immutable object modification = Error [OK]

Hint: Immutable objects throw error on field change [OK]

Common Mistakes:

• Assuming value silently changes
• Assuming old value prints without error
• Ignoring immutability enforcement

4. You have a mutable shared configuration object causing race conditions in a concurrent system. Which fix uses immutability to solve this?

medium

A. Add locks around every access to the mutable object.

B. Replace the shared object with an immutable configuration instance passed by value.

C. Allow threads to modify the shared object but reset it periodically.

D. Use global variables to store configuration for faster access.

Solution

1. Step 1: Identify immutability benefit in concurrency

   Immutable objects prevent race conditions by disallowing changes.

2. Step 2: Choose solution using immutability

   Replacing shared mutable object with immutable instance passed by value avoids conflicts.

3. Final Answer:

   Replace the shared object with an immutable configuration instance passed by value. -> Option B

4. Quick Check:

   Immutability fixes race conditions [OK]

Hint: Immutable shared data avoids race conditions [OK]

Common Mistakes:

• Relying only on locks without immutability
• Allowing mutable shared state
• Using global variables increases risk

5. In a complex system, you want to safely share user session data across multiple services without accidental modification. Which design approach best uses immutability for safety?

hard

A. Create immutable session objects and pass copies to each service.

B. Use a single mutable session object shared globally with synchronization.

C. Store session data in a database and allow services to update it directly.

D. Send session data as plain text strings and let services parse and modify.

Solution

1. Step 1: Understand immutability in distributed systems

   Immutable objects prevent accidental changes when shared across services.

2. Step 2: Evaluate design options

   Passing immutable session copies ensures safety without synchronization overhead.

3. Final Answer:

   Create immutable session objects and pass copies to each service. -> Option A

4. Quick Check:

   Immutable copies for safe sharing [OK]

Hint: Pass immutable copies to avoid accidental changes [OK]

Common Mistakes:

• Using mutable shared objects with locks
• Allowing direct database updates without control
• Parsing and modifying plain text increases errors