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Samsung Research Interview Questions and Answers
89 Interview questions
Binary search is an efficient algorithm for finding an item in a sorted array by repeatedly dividing the search interval in half.
Sorted Array Requirement: Binary search only works on arrays that are sorted in ascending or descending order.
Divide and Conquer: The algorithm divides the array into halves, eliminating one half from consideration based on the comparison with the middle element.
Time Complexity: The time...
Use binary search to find the maximum value where an API call does not return an error, optimizing the search space efficiently.
Define the search space: Start with a range, e.g., 0 to N, where N is a known upper limit for the API calls.
Implement binary search: Check the middle value of the current range. If the API call succeeds, move to the upper half; if it fails, move to the lower half.
Continue narrowing the ra...
Searching in a rotated sorted array involves finding a target value efficiently using binary search techniques.
Rotated Array: The array is sorted but then rotated at some pivot, e.g., [4, 5, 6, 7, 0, 1, 2] is rotated at 7.
Binary Search: Use binary search to find the target, adjusting the search range based on the rotation point.
Identify Rotation: Determine which half of the array is sorted to decide where to searc...
A trie is a tree-like data structure used for efficient retrieval of keys in a dataset of strings, often used for autocomplete.
Structure: A trie consists of nodes where each node represents a character of a string, allowing for efficient prefix-based searches.
Insertion: To insert a word, traverse the trie according to the characters of the word, creating new nodes as necessary.
Search: To search for a word, follow ...
Developing a training plan for lateral hires involves assessing skills, defining objectives, and creating tailored learning paths.
Conduct a skills assessment to identify gaps and strengths of lateral hires.
Define clear training objectives aligned with team goals, e.g., improving project management skills.
Create a structured onboarding program that includes company culture and processes.
Incorporate mentorship oppor...
Find the unique number in an array where every other number appears twice.
Use a hash map to count occurrences of each number. Example: [1, 2, 2, 3, 1] -> {1: 2, 2: 2, 3: 1}
Utilize the XOR operation. Example: [1, 2, 2, 3, 1] -> 1 ^ 1 ^ 2 ^ 2 ^ 3 = 3 (the unique number).
Iterate through the array and check for duplicates. Example: [4, 5, 4, 6, 5] -> 6 is unique.
Check if one string is a permutation of another by comparing character counts.
Two strings are permutations if they have the same characters in the same frequency.
Example: 'abc' and 'cab' are permutations.
Use a hash map or array to count character occurrences.
Sort both strings and compare them for a simpler solution.
Example: 'listen' and 'silent' are permutations.
Optimizing job scheduling based on priority and timestamps in a queue.
Use a priority queue to manage jobs based on their priority levels.
Sort jobs by their arrival time and then by priority for scheduling.
Implement a greedy algorithm to select the highest priority job available at each timestamp.
Consider edge cases like jobs arriving at the same time with different priorities.
Example: If jobs A (priority 1, timest...
The time complexity of a solution refers to the amount of time it takes for an algorithm to run based on the input size.
Time complexity is typically expressed using Big O notation, which describes the worst-case scenario for how the runtime grows with respect to the input size.
Common time complexities include O(1) for constant time, O(log n) for logarithmic time, O(n) for linear time, O(n^2) for quadratic time, an...
Flood fill is an algorithm used to determine connected regions in a grid, commonly used in graphics applications.
Flood fill can be implemented using Depth-First Search (DFS) or Breadth-First Search (BFS).
Example: In a 2D grid, starting from a pixel, flood fill changes the color of connected pixels.
Recursive approach: Use a function that calls itself for adjacent pixels.
Iterative approach: Use a stack or queue to e...
Samsung Research Interview Experiences
140 interviews found
Anonymous
Questions related to Tree and stack
Questions related to Binary search
(2 Questions)
- Q1. Java concepts
- Q2. Graph coding ques
(1 Question)
- Q1. Salary discssion
Aditya Patil
I applied via Campus Placement
Held on samsung's platform, it is standard
(2 Questions)
- Q1. Project based questions
- Q2. Virtual Destructor
Interview Preparation Tips
- DSA
- OOPS
- OS
Saurabh Prabhat
One question on graph theory is given for a duration of three hours.
(1 Question)
- Q1. Find minimum no of steps to reach end of array
- Ans.
Calculate the minimum steps to reach the end of an array using jumps based on values at each index.
Use a greedy approach to track the maximum reachable index at each step.
Initialize variables: steps (to count jumps), maxReach (to track the farthest index), and currentEnd (to mark the end of the current jump).
Iterate through the array, updating maxReach and incrementing steps when reaching currentEnd.
Example: For array ...
(1 Question)
- Q1. Based on project
(1 Question)
- Q1. Hr questions based on resume , family
I applied via Campus Placement and was interviewed in Oct 2024. There were 3 interview rounds.
We were given a DSA question to solve it in 3 hr and have to complete every test case to proceed
Again a DSA question on paper. We need to intuitively give an answer and answer algorithm cpz it's RND
(1 Question)
- Q1. Advance Data structures questions
Prince Keshari
One coding question from dynamic programming
(2 Questions)
- Q1. Segment tree maximum/minimum
- Ans.
Segment trees efficiently handle range queries for maximum or minimum values in an array.
Segment trees are binary trees used for storing intervals or segments.
They allow querying the maximum or minimum value in a range in O(log n) time.
Building a segment tree takes O(n) time.
Example: For array [1, 3, 2, 7, 9, 11], the segment tree can quickly find max/min in any subarray.
Updates to the array can also be done in O(log n...
- Q2. Binary lifting ancestors problem
- Ans.
Binary lifting ancestors problem involves finding the k-th ancestor of a node in a binary tree efficiently.
Binary lifting is a technique used to find ancestors in a binary tree.
It involves precomputing the ancestors of each node using dynamic programming.
The k-th ancestor of a node can be found by repeatedly jumping up the tree in powers of 2.
Example: Given a binary tree with nodes 1, 2, 3, 4, 5, 6, 7, the 2nd ancestor...
(2 Questions)
- Q1. Tell me about yourself
- Q2. Why we hire you?
Skills evaluated in this interview
I applied via Walk-in and was interviewed in Oct 2024. There was 1 interview round.
(2 Questions)
- Q1. Why you want to join company
- Q2. Puzzle question
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed in Jul 2024. There were 3 interview rounds.
1 question 50 test cases brute force will also work
(2 Questions)
- Q1. Object oriented Programming
- Q2. Data structure and algorithm BFS DFS
(2 Questions)
- Q1. Simple question like introduce about yourself?
- Q2. Why you want to join ?
Interview Preparation Tips
I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Can you tell me about yourself?
- Ans.
I am a Senior Engineer with 10+ years of experience in designing and implementing complex systems.
10+ years of experience in engineering
Specialize in designing and implementing complex systems
Strong problem-solving skills
Experience with various programming languages such as Java, Python, and C++
- Q2. Tell me about project
- Ans.
Designed and implemented a cloud-based data analytics platform for real-time monitoring of industrial equipment performance.
Led a team of 5 engineers in developing the platform from scratch
Utilized AWS services such as Lambda, S3, and DynamoDB for data storage and processing
Implemented machine learning algorithms for predictive maintenance
Integrated with existing industrial IoT devices for data collection
Achieved 20% r...
(1 Question)
- Q1. Salary negotiations
Interview Preparation Tips
I applied via Referral and was interviewed in Jun 2024. There was 1 interview round.
(2 Questions)
- Q1. Write monitor for APB protocol
- Ans.
A monitor for APB protocol is a verification component that checks for protocol compliance in APB transactions.
Monitor should check for valid address, data, and control signals in APB transactions
It should detect and report any protocol violations or errors
Monitor should be able to track the state of the APB bus and ensure proper communication between master and slave devices
- Q2. Design FSM - halway with 2 detectors, accuire amout of pepole in room - only one person can pass halway each time.
- Ans.
Design a finite state machine to count the number of people passing through a hallway with 2 detectors, allowing only one person at a time.
Create states for each detector and the hallway
Transition between states based on detector inputs
Use counters to keep track of the number of people passing through
Implement logic to prevent multiple people from passing simultaneously
Interview Preparation Tips
- FSMS
- UVM
Skills evaluated in this interview
(1 Question)
- Q1. Design rate limiter
- Ans.
A rate limiter controls the number of requests a user can make to a service in a given timeframe.
Token Bucket Algorithm: Allows a burst of requests up to a limit, then enforces a steady rate.
Leaky Bucket Algorithm: Processes requests at a constant rate, smoothing out bursts.
Fixed Window Counter: Counts requests in a fixed time window (e.g., 1 minute) and resets after the window ends.
Sliding Window Log: Keeps a log of t...
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