Amazon SME Interview Questions and Answers

Q1. About current project
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Q2. Snowflake limitations
Ans. 
Snowflake has limitations such as maximum table size, maximum number of columns, and maximum number of concurrent queries.
• Snowflake has a maximum table size of 16TB for all tables, including temporary and transient tables.

• There is a limit of 1600 columns per table in Snowflake.

• Snowflake has a maximum of 10,000 concurrent queries per account.

• There are also limitations on the number of objects (databases, schemas, tables
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Q1. How to split staged data’s row into separate columns
Ans. 
Use SQL functions like SUBSTRING and CHARINDEX to split staged data's row into separate columns
• Use SUBSTRING function to extract specific parts of the row

• Use CHARINDEX function to find the position of a specific character in the row

• Use CASE statements to create separate columns based on conditions
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Q2. How would you monitor an overnight data load job in snowflake
Ans. 
Monitor overnight data load job in Snowflake
• Set up alerts and notifications for job completion or failure

• Check job logs for any errors or issues

• Monitor resource usage during the data load process

• Use Snowflake's query history to track job progress

• Implement automated retries in case of failures
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Q1. What is joins in SQL
Ans. 
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Joins are used to retrieve data from multiple tables based on a related column between them

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
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Python DSA Leetcode style questions, prepare.

Q1. Medium level DSA
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Q2. 2 Medium SQL questions
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Q1. Spark programming & Big Data concepts
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Q1. Data Pipeline design
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Q1. DE concepts, Previous Experience
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Q2. Cultural and Team fitment
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Q1. Walk me through your resume
Ans. 
I have a strong background in data engineering with experience in various industries.
• Bachelor's degree in Computer Science with a focus on data engineering

• Worked as a Data Engineer at XYZ Company, where I developed and maintained data pipelines

• Implemented data quality checks and automated data validation processes

• Collaborated with cross-functional teams to design and implement scalable data solutions

• Experience with clo...read more
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Q2. Tell me why Facebook?
Ans. 
Facebook is a leading social media platform with vast user base and cutting-edge technology.
• Facebook has over 2.8 billion monthly active users, providing a massive data source for analysis and engineering.

• The company has a strong focus on innovation and constantly develops new technologies and tools.

• Facebook's data infrastructure is highly advanced, allowing for complex data processing and analysis.

• Working at Facebook ...read more
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Q3. Do you know what is Spark?
Ans. 
Spark is a distributed computing framework used for big data processing.
• Spark is an open-source project under Apache Software Foundation.

• It can process data in real-time and batch mode.

• Spark provides APIs for programming in Java, Scala, Python, and R.

• It can be used for various big data processing tasks like machine learning, graph processing, and SQL queries.

• Spark uses in-memory processing for faster data processing.
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Coding questions on SQL - given 2 tables, join and find the results after the join

1.Basic SQL
2. Python based question
3.Data modelling
4. Spark
5. Cloud based questions

Sql,Python,Data Modeling and Project based questions

Q1. Salary discussion and cultural fit.
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Q2. Basic cultural fit.
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