Lawrence & Mayo Dispenser Interview Questions and Answers

Arrays and strings coding questions and general ability on hackerrank

Q1. Database query, SDLC , Coding question based on arrays & strings and basic CS questions
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Q1. Work experience and Skill test
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Q2. Ability for our company company job role fit or not
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Q3. Qualification And Speaking other people and coustomers
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Q4. Management skill do it find .
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Q5. Speak about our company some two line words Good or bad
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Q6. How do approach to customer change to our company side . Mind changing skills
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Q1. What is your name
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Q2. My name is vijayKumar
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Q3. Tell me about yourself
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Q4. What is your strength
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Q5. What is your weakness
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Q1. About Yourself and your family background.
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Q2. About your experience. If you're a fresher then they will just about your qualification and family background, just normal things.
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Q3. What is your long term goals?
Ans. 
My long term goal is to become a top-performing sales executive in the industry, leading a successful team and consistently exceeding targets.
• Continuously improve my sales skills and knowledge through training and development programs

• Build strong relationships with clients and colleagues to drive long-term success

• Work towards achieving leadership positions within the company

• Consistently exceed sales targets and contrib
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What's going on in our country? They don't ask any critical question.

Q1. About Yourself?
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Q2. About qualification and experience?
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Q1. About self and previous experience
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Q1. Self introduction
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Q1. Family background, Others store sale and achievements,
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Q2. Salary decision
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Q1. Plan of action ,ATL/BTL Activity
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Q2. How to customer personal relationship.
Ans. 
Building customer personal relationships is essential for sales success.
• Listen actively to customers to understand their needs and preferences.

• Show genuine interest in customers by asking about their lives and remembering details.

• Follow up with customers regularly to maintain the relationship.

• Provide personalized solutions and recommendations based on customer preferences.

• Handle customer complaints and issues promptly ...read more
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Q1. How do you summarize the data or aggregate data?
Ans. 
Data can be summarized by using statistical measures like mean, median, mode, and range.
• Use statistical measures like mean, median, mode, and range to summarize data.

• Aggregate data by grouping it based on certain criteria.

• Utilize visualization tools like charts and graphs to summarize and present data effectively.
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Q2. How would you present data to stakeholders?
Ans. 
I would present data to stakeholders in a clear and visually appealing manner to ensure understanding and engagement.
• Create visualizations such as charts, graphs, and tables to summarize key findings

• Use storytelling techniques to explain the data in a compelling way

• Provide context and insights to help stakeholders interpret the data accurately

• Tailor the presentation to the audience's level of expertise and interest

• Enco...read more
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Q3. Which metric would you choosebased on multiple scenarios?
Ans. 
I would choose the metric that aligns best with the specific goals and objectives of each scenario.
• Consider the specific goals and objectives of each scenario

• Choose a metric that directly measures progress towards those goals

• Ensure the metric is relevant, reliable, and actionable

• Examples: revenue growth for a sales scenario, customer satisfaction for a service scenario
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Q1. How would you analyse customer data?
Ans. 
I would analyze customer data by segmenting, profiling, and identifying patterns to understand behavior and preferences.
• Segment the data based on demographics, behavior, or purchase history

• Create customer profiles to understand their preferences and needs

• Identify patterns and trends in the data to make informed decisions

• Use data visualization tools to present findings clearly

• Utilize predictive analytics to forecast fut
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Q2. Explain some ways of customer profiling?
Ans. 
Customer profiling involves gathering and analyzing data to create detailed profiles of customers.
• Collecting demographic information such as age, gender, income, and location

• Analyzing purchasing behavior and preferences

• Segmenting customers based on their characteristics and behaviors

• Creating personas to represent different customer types

• Using data analytics tools to identify patterns and trends
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Q1. Sql window function dense rank, row number, group by , excel function, Power bi, Unpivot, pivot, power query
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Q1. Grill about past experience
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Q1. Salary discussion
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