Amazon Machine Learning Data Associate Interview Questions and Answers

Q1. They will ask about your profile and past experience.
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Q1. A peer level colleague will ask some basic knowledge check questions
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This is literally a live coding test. For analytics expect SQL, python, R.

Q1. Interviewed by a manager of another team
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Q1. Interviewed by dotted line reporting manager
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Q1. Cross functional interview
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Q1. Core Values Interview
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Emails to the host and guests.

Q1. Why you are perfect fit?
Ans. 
I have the necessary skills, experience, and passion for the role.
• I have relevant experience in the industry

• I possess the required skills and qualifications

• I am passionate about the work and eager to contribute

• I have a track record of success in similar roles
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Q2. Why you want to change?
Ans. 
Seeking new challenges and growth opportunities in a different environment.
• Desire for new challenges and learning experiences

• Opportunity for career advancement

• Seeking a better work-life balance

• Interest in exploring different industries or sectors
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Q1. Difference Between Rank and Dense Rank
Ans. 
Rank assigns unique ranks to each distinct value, while Dense Rank assigns consecutive ranks to each distinct value.
• Rank does not skip ranks when there are ties, while Dense Rank does

• Rank will have gaps in ranks if there are ties, while Dense Rank will not

• Rank function is used to assign a unique rank to each distinct row, while Dense Rank function is used to assign consecutive ranks to each distinct row
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Q2. Some Basic Joins
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Q3. Socks Pair Puzzle Qustions
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Q1. About yourself?
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Q2. What's about your experience?
Ans. 
I have over 8 years of experience in financial analysis, project management, and team leadership.
• Managed a team of analysts to successfully implement cost-saving initiatives

• Led cross-functional projects resulting in increased efficiency and profitability

• Performed in-depth financial analysis to support strategic decision-making

• Collaborated with senior management to develop and execute business plans
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Q1. How was your product handling?
Ans. 
My product handling experience has been excellent, with a focus on efficiency and accuracy.
• Implemented efficient product handling processes to streamline operations

• Ensured accurate inventory management and tracking

• Trained team members on proper product handling techniques

• Utilized technology to improve product handling efficiency, such as barcode scanning systems
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Q2. What was the customer experience given as feedback your work?
Ans. 
The customer feedback on my work was overwhelmingly positive, highlighting my attention to detail and excellent communication skills.
• Received positive feedback on attention to detail

• Received positive feedback on communication skills

• Customers expressed satisfaction with the overall experience
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Python, SQL, Quant, Statistics, Numpy

Q1. SQL, Python, Puzzle total 9Q
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Q2. Table, Query, 2 puzzle, Python 1 code (4 Sub code)
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Q1. Yet to declare result for the round 2 i feel +ve for round 2 result lets se
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SQL and Excel questions

Q1. Finance and analysis related questions
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SQL and Python Questions

Q1. SQL and case study question
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