CONFIDENCIAL Associate Vice President Interview Questions and Answers for Experienced

Q1. Walk me thru your CV
Ans. 
Experienced professional with a strong background in leadership and strategic planning.
• Started career in marketing, then transitioned to management roles

• Led cross-functional teams to achieve company goals

• Implemented successful strategies to increase revenue and market share
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Q1. Tell me a project your most proud of
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I am most proud of leading a team to successfully implement a new customer relationship management system.
• Led a team in implementing a new CRM system to improve customer interactions

• Collaborated with various departments to ensure smooth integration

• Trained employees on how to effectively use the new system
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Q1. What is materilized view
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A materialized view is a database object that stores the result of a query and can be used to improve query performance.
• Materialized views are precomputed and stored in the database, reducing the need for expensive query execution.

• They are updated periodically to reflect changes in the underlying data.

• Materialized views can be used to speed up complex queries or aggregate data for reporting purposes.

• They are particular...read more
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Prepared report for promotion of medical devices.

Q1. Salary negotiation
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Q1. What is bias, variance tradeoff in ML
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Bias-variance tradeoff is a key concept in machine learning where a model's ability to generalize is balanced with its complexity.
• Bias refers to the error introduced by approximating a real-world problem, while variance refers to the model's sensitivity to fluctuations in the training data.

• High bias can lead to underfitting, where the model is too simple to capture the underlying patterns in the data.

• High variance can ...read more
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Q2. Explain bias and variance
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Bias is error due to overly simplistic assumptions in the learning algorithm, while variance is error due to too much complexity.
• Bias is the error introduced by approximating a real-world problem, which can lead to underfitting.

• Variance is the error introduced by modeling the noise in the training data, which can lead to overfitting.

• High bias and low variance can result in underfitting, while low bias and high variance...read more
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Q1. Microservices related questions
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Q1. Tell me about yourself
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Q1. Challenges faced in past experience
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Q2. Technical and domain expertiese
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Q1. Domain expertise
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Q1. Related to trade finance
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Q2. Related to audit dept
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