Amazon Software Developer Interview Questions, Process, and Tips

Q1. Why Amazon Software Developer?
Ans. 
Amazon offers challenging projects, innovative technologies, and a collaborative work environment.
• Opportunity to work on cutting-edge projects like Amazon Web Services (AWS) or Alexa

• Access to vast resources and tools for development

• Collaborative work culture that encourages learning and growth

• Opportunity to impact millions of customers worldwide

• Competitive compensation and benefits package
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Q2. Why do you want to work at amazon ?
Ans. 
I want to work at Amazon because of their innovative culture, vast resources, and opportunities for growth.
• Amazon is known for its innovative culture and cutting-edge technology.

• They have vast resources and a global reach, providing opportunities to work on impactful projects.

• Amazon offers great career growth and development opportunities for software developers.

• I admire Amazon's customer-centric approach and focus on
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Q3. What are your strengths and weakness?
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My strengths include problem-solving skills and attention to detail. My weakness is sometimes being too critical of my own work.
• Strengths: problem-solving skills

• Strengths: attention to detail

• Weakness: being too critical of my own work
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Q4. How would you solve?
Ans. 
I would solve the problem by breaking it down into smaller tasks, analyzing requirements, designing a solution, coding, testing, and debugging.
• Analyze requirements thoroughly before starting the development process

• Break down the problem into smaller tasks to make it more manageable

• Design a solution architecture that meets the requirements and is scalable

• Code the solution using best practices and coding standards

• Test th...read more
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Q5. What are the short term and long-term for teame or organisation?
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Short term goals focus on immediate tasks and objectives, while long-term goals involve strategic planning and growth.
• Short term goals may include completing a specific project, improving team communication, or implementing a new software feature.

• Long-term goals could involve expanding the team, increasing market share, or developing new products or services.

• Short term goals help keep the team focused and motivated, wh...read more
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It was a coding test on Hackerrank with 3 Leetcode easy to medium-level questions.

Q1. Phone Interview Round - LP-based discussion followed by an easy DSA question.
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Q1. Loop Round 1 (Hiring Manager Round) - LP-based discussion followed by a system design question (HLD) which was basically around what the hiring team is working on.
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Q1. Loop Round 2 (Coding Round) - LP-based discussion followed by a Leetcode medium coding question.
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Q1. Loop Round 3 (Coding Round) - LP-based discussion followed by an OOD question which was fairly simple but the requirements were not clarified very well even on asking multiple times. Ask and clarify to the...read more
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Q1. Loop Round 4 (Coding Round) (Bar Raiser) - LP-based discussion followed by a Leetcode medium coding question.
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Good but tough i dint do well but still qualified

Very tough only graphs dp and linked lists were asked

Q1. Reverse a linked list
Ans. 
Reverse a singly linked list and return the reversed list.
• Iterate through the linked list and reverse the pointers

• Use three pointers to keep track of current, previous, and next nodes

• Update the head pointer to the last node after reversing
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Q2. Dfs of a graph
Ans. 
Depth-first search (DFS) is a graph traversal algorithm that explores as far as possible along each branch before backtracking.
• DFS starts at a selected node and explores as far as possible along each branch before backtracking.

• It uses a stack to keep track of nodes to visit next.

• DFS can be implemented recursively or iteratively.

• Example: DFS traversal of a graph starting from node A: A -> B -> D -> E -> C -&
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Q1. Least Common Ancestor of binary tree
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The least common ancestor of a binary tree is the node that is the lowest common ancestor of two given nodes in the tree.
• Start from the root node and recursively search for the given nodes in the left and right subtrees.

• If one node is found in the left subtree and the other in the right subtree, then the current node is the least common ancestor.

• If both nodes are found in the left subtree, then the least common ancesto...read more
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Q2. Smallest path to reach from a to b point in matrix
Ans. 
Use Dijkstra's algorithm to find the smallest path from point a to point b in a matrix.
• Implement Dijkstra's algorithm to find the shortest path in a matrix

• Create a matrix representation of the graph with weights on edges

• Start from point a and explore all possible paths to reach point b
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