CMS IT Services IT Manager Interview Questions and Answers

1st Round consisted of Technical Discussion and Coding Round. I was asked to write down the logic for Prime no., Fibonacci Series, Matrix related question, etc.

I was asked to share my screen and write down logic for questions related to Strings, Arrays and 2-D matrix's.

Q1. Discussion About the previous projects done. Detailed questions about the technique used and algorithm related questions.
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Q2. Few basic questions about ML. eg: Linear Regression, Logistic Regression, etc.
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Aptitude ques based on straight line, circle,pnc, probability

Coding ques level was medium to tough. Had to solve 3 ques out of 5

Q1. Buy and sell stocks to earn maximum profit. It is available on leetcode
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Q2. Rotate two dimensional array
Ans. 
Rotate a 2D array by 90 degrees clockwise or counterclockwise.
• Transpose the matrix by swapping elements across the diagonal

• Reverse each row or column depending on clockwise or counterclockwise rotation

• Example: [[1,2],[3,4]] rotated clockwise becomes [[3,1],[4,2]]
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Nice cv related questions is their

Q1. What is Supervised machine learning? Which algorithm you think you can explain brilliantly? Why we use random forest then normal decision tree
Ans. 
Supervised machine learning is a type of ML where the algorithm learns from labeled data. Random forest is used over normal decision tree for better accuracy and to avoid overfitting.
• Supervised ML learns from labeled data to make predictions on new data

• Random forest is an ensemble learning method that uses multiple decision trees to improve accuracy

• Random forest is preferred over normal decision tree to avoid overfitti...read more
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Q2. Example of case study
Ans. 
Case study on a successful marketing campaign for a new product launch
• Identified target audience and their needs

• Developed a unique selling proposition

• Created a multi-channel marketing plan

• Implemented the plan and tracked results

• Adjusted strategy based on data analysis

• Achieved high sales and positive customer feedback
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Retail case study , company trends salw.. Total sale. Profit charts and reports

Python programming 2 questions, 7 MCQs on data science, ml, statistics

Q1. Project related questions, basic data science conceptual questions, scenario based questions
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