Precision Infomatic M Pvt Ltd Associate Systems Engineer Interview Questions and Answers

Q1. General discussion related to overall experience and technology
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Q1. Technical questions related to Desktop support, Outlook, configurations, onboarding process and salary negotiations.
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Q1. 1. ISO27001, Risk Assement , Audit and PCIDSS, CIA and Cyber security? 2.What is Control Testing?
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Q2. Risk Treatment, Risk Register
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Q1. Even and odd number index
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Q1. Realted to o365 theory
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Q2. Regarding litigation hold and retention policies with mailflow and structure and some scenario based questions
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Q1. Regarding technical questions and scenario based
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Q2. Teams issues and outlook
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Q1. Salary discussion
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Q2. Description of working culture and ethics
Ans. 
Our working culture promotes collaboration, innovation, and integrity.
• We prioritize teamwork and open communication to achieve common goals.

• We encourage creativity and out-of-the-box thinking to solve complex problems.

• We uphold high ethical standards and value honesty and transparency in all interactions.

• We strive for continuous improvement and learning to stay ahead in the ever-evolving technology landscape.
Answered by AI
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The aptitude test contains questions MCQs for quants, basic statistics and basic coding questions. The aptitude also has 2 coding problems to solve which would be of easy-medium level.

The second round was live coding test, where the interviewer looks for your approach towards solving a given problem. The approach matters more than the correct syntax. All coding languages were allowed. SQL queries can also be asked.

Q1. Technical cum HR round contains language specific questions as well questions based on mathematics and statistics. Questions can be little bit tricky.
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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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