kipi.ai Interview Questions and Answers

Types of joins include inner join, outer join, left join, right join, and full join.

• Inner join: Returns rows when there is a match in both tables

• Outer join: Returns all rows when there is a match in one of the tables

• Left join: Returns all rows from the left table and the matched rows from the right table

• Right join: Returns all rows from the right table and the matched rows from the left table

• Full join: Returns rows whe

Use a DELETE statement with a self-join on the table to remove duplicates.

• Use a DELETE statement with a self-join on the table to identify and remove duplicates.

• Example: DELETE t1 FROM table_name t1 INNER JOIN table_name t2 WHERE t1.id < t2.id AND t1.column_name = t2.column_name;

ETL and ELT tools are used for extracting, transforming, and loading data in data warehousing and analytics processes.

• ETL stands for Extract, Transform, Load and involves extracting data from various sources, transforming it into a usable format, and loading it into a data warehouse or database.

• ELT stands for Extract, Load, Transform and involves extracting data, loading it into a target system, and then transforming i...read more

Yes, a new column can be added in between 2 existing columns in a table by altering the table structure.

• Yes, a new column can be added in between 2 existing columns by using the ALTER TABLE statement in SQL.

• The new column can be specified to be added after a specific existing column.

• For example, ALTER TABLE table_name ADD new_column_name datatype AFTER existing_column_name;

Types of normalizations in databases help reduce redundancy and improve data integrity.

• First Normal Form (1NF) - Eliminates repeating groups and ensures each column contains atomic values.

• Second Normal Form (2NF) - Ensures all non-key attributes are fully functional dependent on the primary key.

• Third Normal Form (3NF) - Removes transitive dependencies by moving non-key attributes to separate tables.

• Boyce-Codd Normal Fo...read more

SP is a stored procedure in a database, while a function is a piece of code that performs a specific task.

• SP is precompiled and stored in the database, while a function is compiled and executed at runtime.

• Functions can return a value, while SPs can return multiple result sets.

• Functions can be used in SQL queries, while SPs are called using EXECUTE statement.

Views in databases are virtual tables that display data from one or more tables based on a query.

• Views are used to simplify complex queries by storing them as a virtual table.

• They can hide the complexity of underlying tables and provide a layer of security by restricting access to certain columns.

• Types of views include simple views, complex views, materialized views, and indexed views.

Top-down focuses on breaking down the problem into smaller parts, while bottom-up starts with small components and builds up.

• Top-down starts with a high-level overview and breaks it down into smaller components.

• Bottom-up starts with small components and gradually builds up to create a complete system.

• Top-down is more structured and easier to plan, while bottom-up is more flexible and iterative.

• Examples: Top-down - wate

Discussed education and research experiences in detail.

• Discussed my academic background, including degrees obtained and relevant coursework.

• Talked about any research projects I have worked on, including methodologies used and results achieved.

• Highlighted any publications or presentations related to data science or relevant fields.

• Mentioned any internships or work experience in data analysis or research roles.

My research topics focus on developing scalable machine learning models for predictive analytics in finance.

• I have researched and implemented various machine learning algorithms such as random forests, gradient boosting, and neural networks.

• I have explored techniques for feature engineering and model optimization to improve scalability and performance.

• I have chosen specific models based on their ability to handle large...read more

I have a strong educational background in data science and have conducted research in machine learning and predictive analytics.

• Completed a Master's degree in Data Science from XYZ University

• Conducted research on machine learning algorithms for predictive analytics during my internship at ABC Company

• Published a research paper on the application of deep learning in natural language processing

I have conducted research in machine learning and natural language processing, and I would approach problems by first understanding the data and then applying appropriate algorithms.

• Conducted research in machine learning and natural language processing

• Approach problems by understanding the data first

• Apply appropriate algorithms based on the problem

• Utilize data visualization techniques to gain insights

I have a Master's degree in Data Science and have conducted research on machine learning algorithms.

• Master's degree in Data Science

• Research experience in machine learning algorithms

ETL involves extracting data, transforming it, and then loading it into a target system. ELT involves extracting data, loading it into a target system, and then transforming it.

• ETL: Extract, Transform, Load

• ELT: Extract, Load, Transform

• ETL is suitable for scenarios where data needs to be cleansed and transformed before loading into the target system.

• ELT is suitable for scenarios where raw data needs to be quickly loaded...read more