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Aerial Telecom Solutions Interview Questions and Answers

Updated 4 Jul 2024
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Q1. Minimum Number of Taps to Water the Garden

Given a garden that extends along a one-dimensional x-axis from point 0 to point N, your task is to determine the minimum number of taps needed to water the entire gar...read more

Ans.

Find the minimum number of taps needed to water the entire garden using given tap ranges.

  • Iterate over each tap and find the maximum range it can cover.

  • Sort the taps based on their starting position and ending position.

  • Use a greedy approach to select the taps that cover the maximum range possible.

  • If any part of the garden remains uncovered, return -1.

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Q2. DFS Traversal Problem Statement

Given an undirected and disconnected graph G(V, E), where V is the number of vertices and E is the number of edges, the connections between vertices are provided in the 'GRAPH' m...read more

Ans.

DFS traversal problem on an undirected and disconnected graph to find connected components.

  • Perform Depth First Search (DFS) on the graph to find connected components.

  • Use a visited array to keep track of visited vertices.

  • Iterate through all vertices and perform DFS on unvisited vertices to find connected components.

  • Print the number of connected components and list vertices in each component in ascending order.

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Q3. Queue Using Stacks Implementation

Design a queue data structure following the FIFO (First In First Out) principle using only stack instances.

Explanation:

Your task is to complete predefined functions to suppor...read more

Ans.

Implement a queue using stacks following FIFO principle.

  • Use two stacks to simulate a queue - one for enqueueing and one for dequeueing.

  • For enqueuing, simply push elements onto the stack.

  • For dequeuing, if the dequeue stack is empty, transfer all elements from enqueue stack to dequeue stack.

  • Peek operation can be done by checking the top element of the dequeue stack.

  • Check if the queue is empty by verifying if both stacks are empty.

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Q4. Return Subsets Sum to K Problem Statement

Given an integer array 'ARR' of size 'N' and an integer 'K', return all the subsets of 'ARR' which sum to 'K'.

Explanation:

A subset of an array 'ARR' is a tuple that c...read more

Ans.

Return all subsets of an array that sum to a given integer K.

  • Use recursion to generate all possible subsets of the array.

  • Keep track of the current subset and its sum while traversing the array.

  • If the sum of the subset equals K, add it to the result.

  • Sort the elements in each subset to ensure increasing order of index.

  • Handle duplicate elements in the array appropriately.

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Q5. Palindrome Partitioning Problem Statement

You are given a string S. Your task is to partition S such that every substring of the partition is a palindrome. Your objective is to return all possible palindrome pa...read more

Ans.

Partition a string into palindromes and return all possible configurations.

  • Use backtracking to generate all possible palindrome partitions of the string.

  • Check if each substring is a palindrome before adding it to the partition.

  • Return all valid partitions as an array of strings.

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Q6. explain various Opps concept

Ans.

OOPs concepts refer to Object-Oriented Programming concepts which include Inheritance, Encapsulation, Polymorphism, and Abstraction.

  • Inheritance: Allows a class to inherit properties and behavior from another class.

  • Encapsulation: Bundling data and methods that operate on the data into a single unit.

  • Polymorphism: Ability to present the same interface for different data types.

  • Abstraction: Hiding the complex implementation details and showing only the necessary features.

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Q7. explain various db concepts

Ans.

DB concepts include normalization, indexing, transactions, and query optimization.

  • Normalization: Organizing data into tables to reduce redundancy and improve data integrity.

  • Indexing: Creating indexes on columns to speed up data retrieval.

  • Transactions: Grouping database operations into atomic units to ensure data consistency.

  • Query optimization: Improving the performance of database queries by optimizing execution plans.

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