Nielsen Interview Questions, Process, and Tips

Q1. Explain any ML model.
Ans. 
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
• Random Forest is a popular machine learning model used for classification and regression tasks.

• It works by creating multiple decision trees during training and outputs the mode of the classes for classification or the average prediction for regression.

• Random Forest is ro...read more
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Q2. Create Dataframe from two lists.
Ans. 
Creating a DataFrame from two lists in Python.
• Import the pandas library

• Create two lists of data

• Use pd.DataFrame() to create a DataFrame from the two lists
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Q1. Interview taken by VP of particular product vertical, questions pertaining to resume, product experience, fav. product and why, very important for them to understand if you are a good culture fit, and you ...read more
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Problem statement: Shared an email very similar to how it will be in the job, containing a product request from a stakeholder. Job is to create a product backlog/ product requirements document with use cases and your take and approach on how to solve the problem.

Q1. One on one interview with another VP of a different product vertical. nielsen Product leadership is a little old school in the sense, most of them have been in the company for 12+ years, value authenticity...read more
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Q1. Interview was with a Tech head(pretty high up), who the candidate will be working with. Personal experience was not very comfortable in this one, person difficult to read. Very point blank questions. Every...read more
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3 simple coding questions

Q1. Merge sort with list
Ans. 
Merge sort is a divide and conquer algorithm that recursively divides the input array into smaller subarrays, sorts them, and then merges them back together.
• Divide the input list into two halves

• Recursively apply merge sort to each half

• Merge the sorted halves back together
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Q2. Similar to coin exchange DP
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Q3. SQL query medium level
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Q1. Given the start and end times of the meetings, how can you determine if you are able to attend all of them?
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Q1. About projects which previously worked
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Q2. Embedded peripherals
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Q1. Coding threads with rtos
Ans. 
Coding threads with RTOS involves creating and managing multiple threads in real-time operating systems.
• Understand the RTOS scheduling algorithm to prioritize threads.

• Use synchronization mechanisms like semaphores and mutexes to avoid race conditions.

• Implement thread-safe data structures to share data between threads.

• Consider the stack size and priority of each thread to prevent stack overflow and ensure timely executi
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Q2. Linux questions
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Q1. Minimum in Rotated Sorted array
Ans. 
Find the minimum element in a rotated sorted array.
• Perform binary search to find the pivot point where the array is rotated.

• Compare the element at pivot point to the first element to determine which half to search for the minimum.

• Continue binary search in the appropriate half to find the minimum element.
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Q2. API and DB Schema for Instagram based application.
Ans. 
API for Instagram application to interact with user data and DB schema to store user information and posts.
• API endpoints for user authentication, posting photos, liking photos, following users, etc.

• DB schema with tables for users, posts, comments, likes, followers, etc.

• Example API endpoint: /users/{userId}/posts to retrieve all posts by a specific user.

• Example DB schema: Users table with columns for username, email, pr
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Q1. Resume introspection, AWS, K8s
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Q1. SQL: Find the nth highest salary of employee?
Ans. 
Use SQL query with ORDER BY and LIMIT to find the nth highest salary of an employee.
• Use ORDER BY clause to sort salaries in descending order

• Use LIMIT to specify the nth highest salary

• Example: SELECT salary FROM employees ORDER BY salary DESC LIMIT n-1, 1
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Q2. SQL: Types of Joins in SQL?
Ans. 
Types of joins in SQL include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
• INNER JOIN: Returns rows when there is at least one match in both tables.

• LEFT JOIN: Returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN: Returns all rows from the right table and the matched rows from the left table.

• FULL JOIN: Returns rows when there is a match in one of the tables.
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Q3. Algorithm: BinarySearch algorithm using Recursion, explanation and implementation.
Ans. 
BinarySearch algorithm using Recursion finds the target element in a sorted array by dividing the array in half at each step.
• Divide the array in half and compare the target element with the middle element

• If the target element is smaller, search the left half recursively

• If the target element is larger, search the right half recursively

• Repeat until the target element is found or the array is empty
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Q4. Given a string s and t find that s is a subsequence string in t or not?
Ans. 
Check if string s is a subsequence of string t.
• Iterate through both strings using two pointers.

• Compare characters of s and t, moving pointer in t only if characters match.

• If all characters of s are found in t in order, return true.

• Example: s = 'abc', t = 'ahbgdc' => true
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