The Top 20 Multivision Interview Questions To Prepare For

Interviewing at Multivision can be an exciting yet nerve-wracking experience. As a leading technology solutions company, they aim to hire only the best and brightest candidates. Preparation is key to standing out and landing the job.

In this article I’ll provide an insider’s perspective into Multivision’s interview process and share the top 20 most common questions asked. With over 10 years of experience in the tech industry, including interviews at numerous top companies I’ve compiled this comprehensive guide to help you ace your Multivision interview.

Overview of Multivision’s Interview Process

The typical Multivision interview process consists of three main stages:

1. Initial Phone Screen (30 mins) – A recruiter will call to briefly discuss your background and experience. This is a high-level screening.

2. Technical Phone Interview (60 mins) – You’ll be asked technical questions focused on coding skills and computer science fundamentals. Brushing up on data structures, algorithms, OOP, and databases is key.

3. Onsite Interview (5-6 hours) – If you pass the phone screens, you’ll be invited to Multivision’s office for a full day of interviews including coding challenges, system design, behavioral, and management interviews.

It’s a rigorous process so make sure you’re prepared Let’s dive into the top 20 questions you’re likely to encounter

Top 20 Multivision Interview Questions

1. Explain how you would design a URL shortening service like TinyURL.

This tests your system design skills. Focus on discussing requirements, proposing a high-level architecture, and highlighting major components like the redirect mapping database, encoding algorithm, and API design. Mention scalability considerations like load balancing, caching, and database sharding.

2. How would you detect and prevent a SQL injection attack in a web application?

SQL injection is a serious security vulnerability. Demonstrate your expertise by discussing defensive coding practices like input validation, prepared statements, ORM tools, limiting account permissions, etc. Avoid dangerous practices like string concatenation when building queries.

3. You have an unsorted array of integers. Write a function to find the kth smallest element in the array.

This asks your approach to algorithm design and analysis. Propose using a heap data structure to efficiently track the kth smallest element in O(N log k) time. Discuss tradeoffs vs a brute force O(N log N) sorting approach.

4. Explain how you would design Facebook’s News Feed feature.

Another popular system design question. Focus on requirements like feed ranking, content filtering, and quick delivery. Propose a scalable architecture involving load balancing, distributed storage, in-memory caching, and asynchronous processing using message queues or workers.

5. Write a function that reverses a string in place without using any auxiliary buffer.

This tests your understanding of pointers and memory manipulation in languages like C/C++. Explain a two-pointer approach where you start swapping characters from each end of the string moving towards the middle.

6. You are given stock prices for N days. Write an algorithm to find the maximum profit that could be made by buying and selling once.

Show your ability to solve array manipulation problems efficiently. Use an iterative solution tracking min price and max profit values as you traverse the array once. Compare to an inefficient O(N^2) nested loop approach.

7. Given a binary tree, check if it is a mirror of itself.

Trees are commonly tested data structures. Recursively compare the left and right subtrees of the root node. Mention that the recursive calls are made in opposite order to traverse the tree downwards on both sides simultaneously.

8. How can you detect a loop in a linked list?

A popular algorithm puzzle. Suggest using two pointers starting at the head – a slow pointer that moves one node at a time and a fast pointer that skips ahead two nodes. If a loop exists, the pointers will eventually meet indicating a cycle.

9. You have a JSON object representing user comments. Write a function to flatten it into a list of comments.

This evaluates your expertise with hierarchical and nested data transformations. Recursively traverse the JSON tree and concatenate flattened lists from each child. Handle edge cases properly.

10. Design a caching system for a web application like Facebook.

Caching is integral for performance. Discuss cache design considerations like eviction policies, refresh strategies, and content prioritization. Mention distributed caches and in-memory data stores like Redis for scale and speed.

11. How would you implement a rate limiting algorithm for an API?

Rate limiting prevents abuse. Propose tracking request timestamps in a sliding window and rejecting requests over a threshold. Compare tradeoffs of client vs server-side rate limiting. Also discuss caching and throttling approaches.

12. You are given an array of integers. Return the length of the longest consecutive subsequence.

Showcase your analytical abilities on array problems. Use a hash table to store visited numbers. Iterate the array to find sequences by looking up consecutive numbers in the table in O(N) time.

13. Write a regular expression to validate email addresses.

This evaluates your familiarity with regex, an important tool for string manipulation. Discuss your pattern design focusing on the structure and common formats of email IDs. Mention escaping special characters appropriately.

14. How can you efficiently shuffle a large array of integers?

Discuss the Fisher-Yates algorithm for performing unbiased random shuffle operations in O(N) time. Explain how you iterate the array swapping each element with a random index ahead of it.

15. Given two version strings, write a function to compare which one is the most recent version.

This tests your ability to parse version strings like “1.2.10” and compare them numerically per segment. Use string splitting and numeric conversion to extract the version segments into arrays and compare them numerically.

16. Design a key-value store system like Redis.

Opportunity to discuss specialized data storage designs. Cover topics like data structures for efficient lookups, indexing schemes, replication for high availability, and caching strategies.

17. You are given a string representing an arithmetic expression. Write a program to evaluate it.

Demonstrate parsing skills on this frequently asked question. Use a stack to track operators and operands as you traverse the string. Apply basic math rules while respecting operator precedence through the stack.

18. How would you implement a map/reduce algorithm?

MapReduce is a powerful big data processing paradigm. Discuss the distributed execution strategy using map() to emit tuples and reduce() to aggregate them. Also cover real-world applications like counting word frequencies.

19. Given a linked list, reverse its nodes in-place iteratively and recursively.

Linked list manipulation, like reversal, is commonly tested. Compare iterative and recursive approaches, being mindful of memory usage. Recursive calls add to the stack whereas iterative rearranges pointers within the existing list.

20. You are given a string containing brackets. Write a function to validate whether the pairs and ordering of brackets is correct.

Stacks shine in bracket matching problems. Push/pop brackets onto a stack while traversing the string. Mismatches or leftover brackets indicate an invalid ordering.

Final Tips for Acing Your Multivision Interview

With preparation and practice using these common Multivision questions, you’ll be equipped to impress your interviewers and land the job. Here are some final tips:

• Thoroughly study computer science fundamentals which form the basis of most technical questions.

• Master data structures like arrays, strings, trees, stacks, queues, graphs, and hash tables. Know their traversal methods, pros/cons, and use cases.

• Brush up on core algorithms like sorting, searching, dynamic programming, and backtracking. Review common algorithms like BFS, DFS, Dijkstra’s, etc.

• Stay calm and think out loud during coding problems. Communicate your approach clearly.

• Ask clarifying questions if you don’t understand a problem fully. There are no silly questions.

• Be thorough but watch your time during interviews. Pace yourself appropriately.

• Demonstrate passion and excitement for technology. Multivision looks for driven candidates who love coding.

With meticulous preparation using these Multivision interview tips and questions, you’ll prove your skills and land your dream job in no time. Best of luck with your upcoming interview!