MasterCard
Amazon Interview Questions and Answers
Q1. What do you know about our Market Development Role?
Market Development Role involves identifying and pursuing new business opportunities to expand the company's market share.
Market Development Role focuses on identifying new markets and customer segments
It involves conducting market research and analysis to understand customer needs and preferences
The role also involves developing marketing strategies and campaigns to target new customers
Examples of Market Development initiatives include launching new products, entering new ge...read more
Q2. What do you know about financial inclusion?
Financial inclusion refers to the availability and accessibility of financial services to all individuals and businesses, regardless of their income level or location.
Financial inclusion aims to promote economic growth and reduce poverty by providing access to financial services such as banking, insurance, and credit.
It is particularly important for individuals and businesses in developing countries, rural areas, and low-income communities who may not have access to tradition...read more
Q3. SQL code to fetch second highest salary
SQL query to fetch second highest salary
Use ORDER BY and LIMIT to get the second highest salary
SELECT DISTINCT to avoid duplicates
Use subquery to avoid hardcoding the salary value
Q4. Tell me what you know about MasterCards.
MasterCards are a type of payment card that can be used to make purchases at various merchants worldwide.
MasterCards are issued by financial institutions and can be used to make purchases at millions of merchants worldwide.
They offer various benefits such as cashback rewards, travel insurance, and fraud protection.
MasterCards come in different types such as credit cards, debit cards, and prepaid cards.
Examples of MasterCards include the Mastercard World Elite, Mastercard Blac...read more
Q5. What is partitioning
Partitioning is the process of dividing a large dataset into smaller, more manageable parts.
Partitioning helps in parallel processing of data
It improves query performance by reducing the amount of data that needs to be scanned
Partitioning can be done based on various criteria like range, hash, list, etc.
Examples of partitioning include sharding in MongoDB and partitioning in Hadoop Distributed File System (HDFS)
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