Entune IT Consulting SAP MM Consultant Interview Questions and Answers

Q1. They need skills of googler at 4 lakhs
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Q2. 2 leetcode hard and 2 project Euler problems,did all still got rejected
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Q1. Leetcode Hard questions
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Q2. IPO Leetcode Hard
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Q1. Tell me about yourself?
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I am a dedicated and detail-oriented business analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Business Administration

• I have experience in conducting market research and analyzing data to identify trends

• I am proficient in using tools like Excel, SQL, and Tableau for data analysis

• I have excellent communication skills and can effectively collaborate with cross-functional
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Q2. Some questions on project
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They will give you to study Abode Magento to study.

They will ask you create a presentation and to present it.
Even after getting the job offer and joining the company please don't think that they will confirm your position. Anytime the higher management will ask you to give test and if you don't perform they will ask you to leave.

30 min test on simple google form

Half hour conding round on basic javascript questions

One hour coding round on little bit intermediate javascript questions

The aptitude test mainly covered logical reasoning, quantitative aptitude, and basic programming concepts. Questions were of moderate difficulty, with some time-based problem-solving challenges. Practicing common aptitude topics like puzzles, numerical ability, and coding fundamentals can help in preparation.

The group discussion round focused on general topics related to technology, current affairs, and workplace scenarios. The evaluators were looking for clarity of thought, communication skills, and how well candidates could present their points while engaging with others. Staying confident and actively participating helped in getting selected.

Q1. What experience do you have in this role?
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Q2. What tools or technologies are you comfortable using?
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I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
• Excel: Advanced functions, pivot tables, and data visualization.

• SQL: Writing complex queries for data extraction and manipulation.

• Python: Utilizing libraries like Pandas and NumPy for data analysis.

• Tableau: Creating interactive dashboards for data visualization.

• R: Statistical analysis and data visualiza
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