NTT DATA Business Solutions Lead Consultant Interview Questions and Answers

Q1. Questions relaterd to CV
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Q2. Regarding previous company
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Q3. Willingness to relocate
Ans. 
Yes, I am open to relocating for the right opportunity.
• I am open to exploring new locations for career growth

• I have relocated in the past for job opportunities

• I understand the benefits of experiencing different work environments
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Q4. Why ITconsulting
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IT consulting is important for helping businesses improve their technology infrastructure, optimize processes, and stay competitive in the digital age.
• Provides expertise and guidance on implementing new technologies

• Helps businesses streamline processes and increase efficiency

• Assists in identifying and mitigating cybersecurity risks

• Supports digital transformation initiatives

• Enables businesses to stay competitive in the
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Q1. Tell me about yourslef
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Create a business requirement document

Q1. What are the strengths and weakness
Ans. 
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
• Strengths: strong analytical skills

• Strengths: attention to detail

• Weaknesses: difficulty with public speaking

• Weaknesses: time management
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General aptitude & domain quiz

Analytics case study & ppt submission

Q1. Technical interview & presentation
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Q1. Basic java question on collections.
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Q2. Threads , SOILD principle , Design patterns
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Basic aptitude which is based on computer science skills

Q1. Basic coding questions
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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