Aramex Software Developer Interview Questions and Answers

Q1. Tell what is your name
Ans. 
My name is John Smith.
• Full name is John Smith

• Common name in English-speaking countries

• No middle name or initial
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Q2. What do you do in free time
Ans. 
In my free time, I enjoy hiking, playing video games, and learning new programming languages.
• Hiking in local trails and national parks

• Playing video games like Overwatch and Minecraft

• Learning new programming languages like Python and JavaScript
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Q1. Introduce yourself.
Ans. 
I am a software developer with 5 years of experience in Java and Python.
• Experienced in Java and Python programming languages

• Worked on various projects involving web development and data analysis

• Familiar with Agile methodologies and version control systems like Git
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Q2. Project related questions.
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Q1. DSA ROUND - DP problem
Ans. 
Dynamic Programming problem involving finding the maximum sum of non-adjacent elements in an array.
• Use dynamic programming to keep track of the maximum sum at each index.

• At each index, the maximum sum is either the current element plus the sum two indices back, or the sum at the previous index.

• Example: For array [2, 4, 6, 2, 5], the maximum sum of non-adjacent elements is 13 (2 + 6 + 5).
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Q2. DSA ROUND - STRING PROBLEM
Ans. 
Find the longest common prefix among an array of strings.
• Iterate through the characters of the first string and compare with other strings

• Return the prefix when characters don't match or reach end of any string

• Example: Input - ['flower', 'flow', 'flight'], Output - 'fl'
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Q1. PROJECT RELATED QUESTIONS
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Q2. DESIGN LRU CACHE
Ans. 
LRU cache is a data structure that stores the most recently used items.
• Use a doubly linked list to keep track of the order of items based on their usage.

• Use a hashmap to quickly access items in the cache.

• When a new item is accessed, move it to the front of the linked list.

• If the cache is full, remove the least recently used item from the end of the linked list.
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Q1. Questions on Django middleware, models and queries
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Q1. Design an algorithm to efficiently to send office bus to all location in the city
Ans. 
Use a greedy algorithm to send the office bus to all locations in the city efficiently.
• Start from the office location and pick the nearest location to visit next.

• Continue picking the nearest unvisited location until all locations are covered.

• Repeat the process until all locations are visited.

• Consider using Dijkstra's algorithm or a similar approach for finding the nearest location.

• Optimize the route by considering traf
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Q1. Round with CTO, mostly behavioural and expected pay
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The basic questions asked in an interview .

DP, graph, and array questions asked in 2nd round also asked my company project