Abercrombie & Fitch Interview Questions and Answers

Sales is the process of persuading a potential customer to buy a product or service.

• Sales involves identifying potential customers and their needs

• It requires effective communication and negotiation skills

• Salespeople must be knowledgeable about the product or service they are selling

• Sales can be done through various channels such as face-to-face, phone, email, or online

• Examples of sales include selling cars, insurance,

Customer service is the support and assistance provided to customers before, during, and after a purchase.

• Customer service involves listening to and understanding the needs of the customer

• It includes providing helpful and accurate information about products or services

• It also involves resolving any issues or complaints the customer may have

• Examples of good customer service include prompt responses, personalized attenti...read more

SQL query to get top 100 Uber drivers by city

• Join drivers and users tables on city

• Aggregate driver ratings and count of rides

• Order by rating and count of rides

• Limit to top 100

Optimizing the listing of Restaurants on Swiggy involves using data-driven strategies to improve visibility, relevance, and user experience.

• Analyze user behavior and preferences to understand their needs and preferences

• Implement a ranking algorithm based on factors like ratings, reviews, popularity, and delivery time

• Optimize search functionality to ensure accurate and relevant results

• Collaborate with restaurants to imp...read more

Linear Regression is used for continuous data while Logistic Regression is used for categorical data.

• Linear Regression predicts continuous values while Logistic Regression predicts probabilities.

• Linear Regression uses a straight line to fit the data while Logistic Regression uses an S-shaped curve.

• Linear Regression uses Mean Squared Error as the cost function while Logistic Regression uses Log Loss.

• Linear Regression is...read more

Bias-Variance trade-off is the balance between overfitting and underfitting. High bias models are simple but inaccurate, low variance models are complex but overfit.

• Bias-Variance trade-off is a fundamental concept in machine learning.

• High bias models are simple and have low variance, but are inaccurate.

• Low bias models are complex and have high variance, but can overfit the data.

• Examples of high bias models are linear r...read more

Possible reasons for a car manufacturer's decline in profits by 40% year over year

• Decreased demand for cars due to economic downturn

• Increased competition from other car manufacturers

• Rising production costs and expenses

• Decline in consumer confidence and spending

• Changes in government regulations impacting the automotive industry