Pristyn Care Executive Accountant Interview Questions and Answers

Encapsulation, data abstraction, and polymorphism are three fundamental concepts in object-oriented programming.

• Encapsulation is the process of hiding the implementation details of an object from the outside world.

• Data abstraction is the process of representing only the essential features of an object and hiding the unnecessary details.

• Polymorphism is the ability of an object to take on many forms or have multiple beha...read more

Stack is a data structure that follows Last In First Out (LIFO) principle. Queue is a data structure that follows First In First Out (FIFO) principle.

• Stack is like a stack of plates where the last plate added is the first one to be removed

• Queue is like a queue of people waiting in line where the first person added is the first one to be served

• Stack operations: push (add element), pop (remove top element), peek (get top...read more

Caching is the process of storing frequently used data in a temporary storage area for faster access.

• Caching improves application performance by reducing the number of requests to the server.

• It can be implemented at different levels such as browser, server, and database.

• Examples of caching include browser caching of web pages, server caching of API responses, and database caching of query results.

Join types used in SQL to combine data from multiple tables.

• Inner join returns only the matching rows from both tables.

• Left join returns all rows from the left table and matching rows from the right table.

• Outer join returns all rows from both tables, with null values for non-matching rows.

• Examples: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id

• SELECT * FROM table1 LEFT JOIN table2 ON table1.id = table2...read more

Binary Search has a time complexity of O(log n) and is derived from dividing the search space in half at each step.

• Binary Search is a search algorithm that works on sorted arrays.

• It starts by comparing the target value to the middle element of the array.

• If the target value is smaller, the search continues on the lower half of the array.

• If the target value is larger, the search continues on the upper half of the array.

• T...read more

QuickSort is a sorting algorithm that uses divide and conquer approach.

• Choose a pivot element from the array

• Partition the array into two sub-arrays, one with elements less than the pivot and one with elements greater than the pivot

• Recursively apply the above steps to the sub-arrays

• Combine the sorted sub-arrays to get the final sorted array

Code for Fibonacci Series using Recursion, Iteration and Dynamic Programming

• Recursion: Define a function that calls itself with the previous two numbers in the series as arguments

• Iteration: Use a loop to calculate the series by adding the previous two numbers in each iteration

• Dynamic Programming: Store the previous two numbers in variables and use them to calculate the next number in the series

Implementing a Queue using Stacks

• Use two stacks to implement a queue

• Push elements onto the first stack

• When dequeuing, pop all elements from the first stack and push onto the second stack

• Pop the top element from the second stack to dequeue

• If the second stack is empty, pop all elements from the first stack and push onto the second stack

MergeSort is a divide and conquer algorithm that sorts an array of strings.

• Divide the array into two halves

• Recursively sort the two halves

• Merge the sorted halves

Counting Sort is a sorting algorithm that sorts elements by counting the number of occurrences of each unique element.

• Count the occurrences of each element in the array

• Calculate the cumulative sum of the counts

• Place each element in the sorted array based on its count and cumulative sum

• Time complexity is O(n+k) where n is the number of elements and k is the range of input

• Example: Sort an array of strings based on their

Chrome uses an algorithm to predict and suggest words based on user input.

• Chrome's algorithm uses a combination of user history, bookmarks, and popular searches to predict and suggest words.

• The algorithm also takes into account the frequency and recency of the user's input.

• Chrome's suggestion feature is powered by Google's Autocomplete API, which uses machine learning to predict and suggest words.

• The suggestions are di...read more