Big Data Analyst

Big Data Analyst Interview Questions and Answers

Updated 27 Jun 2024

Q1. Buy and Sell Stock - III Problem Statement

Given an array prices where the i^th element represents the price of a stock on the i^th day, your task is to determine the maximum profit that can be achieved at the en...read more

Ans.

Determine the maximum profit that can be achieved by selling stocks with at most two transactions.

Iterate through the array and calculate the maximum profit that can be achieved by selling at each day.
Keep track of the maximum profit that can be achieved after the first transaction and the maximum profit that can be achieved after the second transaction.
Return the maximum profit that can be achieved after the second transaction.

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Q2. Next Greater Element Problem Statement

Given a list of integers of size N, your task is to determine the Next Greater Element (NGE) for every element. The Next Greater Element for an element X is the first elem...read more

Ans.

The task is to find the next greater element for each element in a list of integers.

Iterate through the list of integers from right to left.
Use a stack to keep track of elements whose next greater element is yet to be found.
Pop elements from the stack until a greater element is found or the stack is empty.
Assign the next greater element to the current element or -1 if no greater element is found.
Return the list of next greater elements.

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Big Data Analyst Interview Questions and Answers for Freshers

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Q3. Pairwise Sum of Hamming Distance

Given an array ARR containing N integers, your task is to calculate the total sum of the Hamming Distance for all possible pairs of elements in the array.

Hamming Distance

The H...read more

Ans.

Calculate the total sum of Hamming Distance for all possible pairs of elements in an array.

Iterate through all pairs of elements in the array
Calculate the Hamming Distance between each pair of elements
Sum up all the calculated Hamming Distances

Q4. Left View of a Binary Tree Problem Statement

Given a binary tree, your task is to print the left view of the tree.

Example:

Input:

The input will be in level order form, with node values separated by a space. U...read more

Ans.

Print the left view of a binary tree given in level order form.

Traverse the tree level by level and print the first node of each level
Use a queue to keep track of nodes at each level
Handle null nodes by using a placeholder value like -1

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Q5. What is classification in ML , Details

Ans.

Classification in ML is a type of supervised learning where the goal is to predict the categorical class labels of new instances based on past observations.

Classification is a type of supervised learning in machine learning.
It involves predicting the categorical class labels of new instances based on past observations.
Common algorithms used for classification include Decision Trees, Random Forest, Support Vector Machines, and Logistic Regression.
Examples of classification tas...read more

Q6. Explain a project ML/DL

Ans.

Developed a machine learning model to predict customer churn for a telecom company.

Collected and cleaned customer data including usage patterns and demographics
Used algorithms like logistic regression and random forest to train the model
Evaluated model performance using metrics like accuracy, precision, and recall
Implemented the model in production to provide real-time predictions for customer retention

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