Introduction to High-Level System Design

System Design Fundamentals

Architectural Patterns

Scaling Strategies

Database Design in HLD

API Design and Communication

Caching Strategies

Message Queues and Event-Driven Systems

Security in System Design

Observability and Monitoring

Real-World System Design Case Studies

System Design Interview Questions

Top Uber DSA Interview Questions and Solutions

Before diving into the top Uber DSA interview questions and their solutions, make sure you’re fully prepared for technical interviews. Enhance your learning with free resources by filling out this form.

Understanding Uber’s DSA Interview Process

Uber is known for its rigorous technical interview process that evaluates candidates on Data Structures and Algorithms (DSA), problem-solving skills, and coding efficiency. The interview typically consists of:

Online Assessments: Multiple-choice questions and coding problems.
Technical Phone Interviews: Live coding challenges on platforms like HackerRank or CodeSignal.
Onsite Interviews: Advanced DSA problems, system design, and behavioral questions.

Top Uber DSA Interview Questions and Solutions

1. Arrays and Strings

Uber frequently asks questions related to arrays and strings to assess a candidate’s ability to manipulate data efficiently.

Question: Find the Longest Substring Without Repeating Characters

Problem Statement: Given a string s, find the length of the longest substring without repeating characters.

Solution:

				
					def lengthOfLongestSubstring(s):
    char_set = set()
    left = 0
    max_length = 0
    
    for right in range(len(s)):
        while s[right] in char_set:
            char_set.remove(s[left])
            left += 1
        char_set.add(s[right])
        max_length = max(max_length, right - left + 1)
    
    return max_length

Time Complexity: O(n) | Space Complexity: O(n)

2. Linked Lists

Linked lists are fundamental data structures often tested in Uber interviews.

Question: Detect a Cycle in a Linked List

Problem Statement: Given a linked list, determine if it contains a cycle.

Solution:

				
					class ListNode:
    def __init__(self, val=0, next=None):
        self.val = val
        self.next = next

def hasCycle(head):
    slow, fast = head, head
    while fast and fast.next:
        slow = slow.next
        fast = fast.next.next
        if slow == fast:
            return True
    return False

Time Complexity: O(n) | Space Complexity: O(1)

3. Binary Trees and Graphs

Tree and graph problems assess a candidate’s ability to traverse and manipulate hierarchical data structures.

Question: Lowest Common Ancestor of a Binary Tree

Problem Statement: Given a binary tree, find the lowest common ancestor (LCA) of two given nodes.

				
					

class TreeNode:
    def __init__(self, val=0, left=None, right=None):
        self.val = val
        self.left = left
        self.right = right

def lowestCommonAncestor(root, p, q):
    if not root or root == p or root == q:
        return root
    left = lowestCommonAncestor(root.left, p, q)
    right = lowestCommonAncestor(root.right, p, q)
    return root if left and right else left or right

Time Complexity: O(n) | Space Complexity: O(h), where h is the tree height.

Recommended Read: Why System Design Interviews Are Tough

4. Dynamic Programming

Question: Coin Change Problem

Problem Statement: Given an array of coin denominations and an amount, find the minimum number of coins needed to make up the amount.

Solution:

				
					def coinChange(coins, amount):
    dp = [float('inf')] * (amount + 1)
    dp[0] = 0
    for coin in coins:
        for i in range(coin, amount + 1):
            dp[i] = min(dp[i], dp[i - coin] + 1)
    return dp[amount] if dp[amount] != float('inf') else -1

Time Complexity: O(n * m) | Space Complexity: O(n)

Recommended Read: Top 10 Greedy Algorithms for Programming

FAQ

What topics are most important for Uber's interview?

The most tested topics include Arrays, Strings, Linked Lists, Binary Trees, Graphs, Dynamic Programming, and System Design. Prioritize solving real-world problems Uber engineers face.

Check out this course: DSA for Interviews

How many rounds are there in Uber's technical interview?

Uber’s technical interview typically consists of 4-6 rounds, including an online assessment, technical phone screens, and onsite rounds covering DSA, system design, and behavioral questions.

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Top Uber DSA Interview Questions and Solutions

Understanding Uber’s DSA Interview Process

Top Uber DSA Interview Questions and Solutions

1. Arrays and Strings

Question: Find the Longest Substring Without Repeating Characters

2. Linked Lists

Question: Detect a Cycle in a Linked List

3. Binary Trees and Graphs

Question: Lowest Common Ancestor of a Binary Tree

4. Dynamic Programming

Question: Coin Change Problem

FAQ

What topics are most important for Uber's interview?

How many rounds are there in Uber's technical interview?

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Top Uber DSA Interview Questions and Solutions

Understanding Uber’s DSA Interview Process

Top Uber DSA Interview Questions and Solutions

1. Arrays and Strings

Question: Find the Longest Substring Without Repeating Characters

2. Linked Lists

Question: Detect a Cycle in a Linked List

3. Binary Trees and Graphs

Question: Lowest Common Ancestor of a Binary Tree

4. Dynamic Programming

Question: Coin Change Problem

FAQ

What topics are most important for Uber's interview?

How many rounds are there in Uber's technical interview?

DSA, High & Low Level System Designs

Buy for 60% OFF ₹25,000.00 ₹9,999.00

Accelerate your Path to a Product based Career

Essentials of Machine Learning and Artificial Intelligence

Buy for 65% OFF ₹20,000.00 ₹6,999.00

Fast-Track to Full Spectrum Software Engineering

Buy for 57% OFF ₹35,000.00 ₹14,999.00

DSA, High & Low Level System Designs

Buy for 60% OFF ₹25,000.00 ₹9,999.00

Low & High Level System Design

Buy for 65% OFF ₹20,000.00 ₹6,999.00

Mastering Mern Stack (WEB DEVELOPMENT)

Buy for 60% OFF ₹15,000.00 ₹5,999.00

ML & AI Kickstart

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Our Location

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Social Media

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