DNV Senior Manager Interview Questions and Answers

Q1. What are your weakness and strength
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Q2. How would you contribute to our company
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Q1. Sql questions, ddl dml question, machine learning knowledge test
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Mathematical question were asked. Probability questions were asked

Analytics case study based on clustering

Q1. Ensure you know what you have mentioned in your CV and support each answer with an example
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Q1. Situational based
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Q1. Preventive vs Detective
Ans. 
Preventive measures aim to stop problems before they occur, while detective measures aim to identify and address problems after they have occurred.
• Preventive measures focus on proactive actions to avoid problems.

• Detective measures focus on reactive actions to identify and address problems.

• Preventive measures include regular maintenance, training, and risk assessments.

• Detective measures include audits, inspections, and ...read more
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Q1. How to deal with lack of work life balance?
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To deal with lack of work life balance, it is important to prioritize, set boundaries, delegate tasks, and practice self-care.
• Prioritize tasks and focus on the most important ones

• Set boundaries by clearly defining working hours and personal time

• Delegate tasks to team members or colleagues to distribute workload

• Practice self-care by taking breaks, exercising, and engaging in hobbies or activities outside of work

• Communic...read more
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Q1. What are your salary expectations?
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Q2. Share details of your previous job.
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Q3. What are your strengths and weaknesses?
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Q4. Why are you looking for a change?
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Q5. Tell me about yourself.
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Q6. Prior job relevent experience for this role
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Q1. Technical questions relating to the role
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Q1. Asked technical quedtions relating to the job profile
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Q1. Shared the current requirenent of the role alongwith asked about technical quedtions
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Q1. Asked documents and Salary discussion
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Q1. Which embedding model and similarity search algorithm did you used?
Ans. 
I used Word2Vec embedding model and cosine similarity algorithm for similarity search.
• Word2Vec embedding model was used to convert words into numerical vectors.

• Cosine similarity algorithm was used to measure the similarity between vectors.

• Example: Word2Vec model trained on a large corpus of text data, cosine similarity used to find similar words or documents.
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Q1. Explain your recent project in detail and question around that
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Q1. Why you are changing your job?
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Q1. Simple question about handling team and cpde review.
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Q2. The last company project I worked and what tech stack used. And some techincal question regarding the tech stack used.
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Q1. Had one skill assessment round with VP. he asked little bit about Sql, cloud technologies, Python.
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Q2. Some questions about the team handling.
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Q1. Project related and technical studf
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Q1. Project and future roadmap
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Q1. Personal details and future plan
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