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LLDsystem_design~10 mins

Balance calculation algorithm in LLD - Interactive Code Practice

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

Complete the code to initialize the balance variable correctly.

LLD
balance = [1]
Drag options to blanks, or click blank then click option'
A0
BNone
C''
D-1
Attempts:
3 left
💡 Hint
Common Mistakes
Initializing balance as None causes errors when adding amounts.
Using a negative number as initial balance is incorrect.
2fill in blank
medium

Complete the code to add a transaction amount to the balance.

LLD
balance = balance [1] transaction_amount
Drag options to blanks, or click blank then click option'
A/
B+
C*
D-
Attempts:
3 left
💡 Hint
Common Mistakes
Using subtraction instead of addition reduces the balance incorrectly.
Using multiplication or division is not appropriate here.
3fill in blank
hard

Fix the error in the condition to check if the balance is negative.

LLD
if balance [1] 0:
    print('Balance is negative')
Drag options to blanks, or click blank then click option'
A>
B==
C<
D>=
Attempts:
3 left
💡 Hint
Common Mistakes
Using greater than or equal to checks for positive or zero balances.
Using equality checks only for zero balance.
4fill in blank
hard

Fill both blanks to create a dictionary comprehension that maps account IDs to their balances if balance is positive.

LLD
positive_balances = {account_id: [1] for account_id, [2] in accounts.items() if balance > 0}
Drag options to blanks, or click blank then click option'
Abalance
Caccount_balance
Damount
Attempts:
3 left
💡 Hint
Common Mistakes
Using different variable names causes errors or undefined variables.
Not matching the variable in the condition with the loop variable.
5fill in blank
hard

Fill all three blanks to create a function that calculates the total balance from a list of transactions.

LLD
def calculate_total_balance(transactions):
    total = [1]
    for [2] in transactions:
        total [3]= transaction
    return total
Drag options to blanks, or click blank then click option'
A0
Btransaction
C+
Dbalance
Attempts:
3 left
💡 Hint
Common Mistakes
Initializing total to None or other types causes errors.
Using incorrect loop variable names or operators.

Practice

(1/5)
1. What is the main purpose of a balance calculation algorithm in a financial system?
easy
A. To add credits and subtract debits from an initial amount
B. To sort transactions by date
C. To encrypt user data
D. To generate random transaction IDs

Solution

  1. Step 1: Understand the role of balance calculation

    The balance calculation algorithm updates the current balance by adding credits and subtracting debits.
  2. Step 2: Compare with other options

    Sorting transactions, encrypting data, and generating IDs are unrelated to balance calculation.
  3. Final Answer:

    To add credits and subtract debits from an initial amount -> Option A
  4. Quick Check:

    Balance calculation = add credits - subtract debits [OK]
Hint: Balance means adding credits and subtracting debits [OK]
Common Mistakes:
  • Confusing balance calculation with sorting or encryption
  • Thinking balance calculation generates IDs
  • Ignoring subtraction of debits
2. Which of the following code snippets correctly initializes a balance variable to zero in a balance calculation algorithm?
easy
A. balance := 0
B. balance = 0
C. balance == 0
D. balance = 'zero'

Solution

  1. Step 1: Identify correct assignment syntax

    In most programming languages, = assigns a value. So balance = 0 sets balance to zero.
  2. Step 2: Check other options for errors

    := is not standard in many languages, == is a comparison, and assigning a string 'zero' is incorrect for numeric balance.
  3. Final Answer:

    balance = 0 -> Option B
  4. Quick Check:

    Use = for assignment, not == or := [OK]
Hint: Use single = to assign values in most languages [OK]
Common Mistakes:
  • Using == instead of = for assignment
  • Using := which is not common in many languages
  • Assigning string instead of numeric zero
3. Consider this pseudocode for balance calculation:
balance = 100
transactions = [20, -10, 30, -5]
for t in transactions:
    balance += t
print(balance)

What will be the printed balance?
medium
A. 135
B. 145
C. 155
D. 125

Solution

  1. Step 1: Calculate sum of transactions

    Sum = 20 + (-10) + 30 + (-5) = 20 - 10 + 30 - 5 = 35
  2. Step 2: Add sum to initial balance

    Initial balance 100 + 35 = 135
  3. Final Answer:

    135 -> Option A
  4. Quick Check:

    100 + (20 -10 +30 -5) = 135 [OK]
Hint: Add all transactions to initial balance [OK]
Common Mistakes:
  • Adding absolute values instead of signed values
  • Forgetting to add initial balance
  • Miscalculating sum of transactions
4. Identify the bug in this balance calculation code snippet:
balance = 50
transactions = [10, -20, 15]
for t in transactions:
    balance = t
print(balance)
medium
A. The initial balance is not set
B. The transactions list is empty
C. The balance is overwritten instead of updated
D. The loop variable is incorrect

Solution

  1. Step 1: Analyze the loop operation

    Inside the loop, balance = t overwrites balance each time instead of adding.
  2. Step 2: Understand correct update

    It should be balance += t to add each transaction to balance.
  3. Final Answer:

    The balance is overwritten instead of updated -> Option C
  4. Quick Check:

    Use += to update balance, not = [OK]
Hint: Use += to add transactions, not = [OK]
Common Mistakes:
  • Using = instead of += inside loop
  • Assuming transactions list is empty
  • Ignoring initial balance
5. You need to design a balance calculation system that handles millions of transactions per day with real-time updates. Which design choice best supports scalability and accuracy?
hard
A. Ignore debits and only add credits to simplify calculation
B. Use a single database transaction to update balance after each transaction
C. Store all transactions in memory and recalculate balance on every request
D. Batch transactions and update balance periodically with distributed processing

Solution

  1. Step 1: Consider scalability needs

    Millions of transactions require efficient processing; single updates per transaction cause bottlenecks.
  2. Step 2: Evaluate batch processing benefits

    Batching with distributed processing reduces load and maintains accuracy by processing groups of transactions.
  3. Step 3: Reject other options

    Single DB transactions cause slowdowns, in-memory recalculation is memory-heavy and slow, ignoring debits causes incorrect balances.
  4. Final Answer:

    Batch transactions and update balance periodically with distributed processing -> Option D
  5. Quick Check:

    Batch + distributed processing = scalable & accurate [OK]
Hint: Batch and distribute processing for large-scale balance updates [OK]
Common Mistakes:
  • Updating balance per transaction causing bottlenecks
  • Recalculating balance on every request wasting memory
  • Ignoring debits leading to wrong balances