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I applied via Walk-in and was interviewed in Mar 2022. There were 2 interview rounds.
Employee model CRUD APIS USING SRPING BOOT & MYSQL
Spring Boot is a framework that simplifies Spring development by providing pre-configured settings and dependencies.
Spring Boot is built on top of the Spring framework.
Spring Boot provides a standalone executable that can run the application.
Spring Boot provides auto-configuration, which reduces the need for manual configuration.
Spring Boot provides a wide range of starter dependencies that can be easily added to the p...
JPA is a specification while Hibernate is an implementation of JPA. JPA provides a standard API for ORM frameworks.
JPA is a standard API for ORM frameworks
JPA provides a vendor-neutral interface
JPA allows for easy switching between ORM frameworks
Hibernate is an implementation of JPA
Hibernate provides additional features beyond JPA
MySQL GROUP BY is used to group rows with same values. DISTINCT is used to remove duplicate values from a column.
GROUP BY is used with aggregate functions like COUNT, SUM, AVG, etc.
DISTINCT is used to retrieve unique values from a column.
GROUP BY and DISTINCT can be used together to group and retrieve unique values.
Example: SELECT COUNT(*) FROM table_name GROUP BY column_name;
Example: SELECT DISTINCT column_name FROM t
Spring has four scopes: Singleton, Prototype, Request, and Session.
Singleton scope creates a single instance of a bean.
Prototype scope creates a new instance of a bean every time it is requested.
Request scope creates a new instance of a bean for each HTTP request.
Session scope creates a new instance of a bean for each HTTP session.
I applied via Job Portal and was interviewed in Jan 2023. There were 3 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 2 interview rounds.
Aptitude test on python programming
One hour - python coding and logical question
I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 2 interview rounds.
Python programing and logical problem solving
It was good test to crack
Duration was for 30minutes
I am from New York City, known for its diverse culture, iconic landmarks, and bustling atmosphere.
Diverse culture
Iconic landmarks (e.g. Statue of Liberty, Empire State Building)
Bustling atmosphere
I am currently earning a competitive salary based on my experience and skills.
My current salary is in line with industry standards
I am open to discussing salary expectations for this role
I believe my compensation reflects my qualifications and contributions
I am looking for a competitive salary package
I applied via Company Website and was interviewed in Apr 2021. There was 1 interview round.
I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.
Quantitative Aptitude
Stakeholders vs Shareholders
Analysis of financial time series
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
Different types of commands include data manipulation, data definition, data control, and transaction control commands.
Data manipulation commands: SELECT, INSERT, UPDATE, DELETE
Data definition commands: CREATE, ALTER, DROP
Data control commands: GRANT, REVOKE
Transaction control commands: COMMIT, ROLLBACK, SAVEPOINT
Inner join returns only the matching rows between two tables, while outer join returns all rows from both tables.
Inner join only includes rows that have matching values in both tables
Outer join includes all rows from both tables, filling in missing values with NULL if there is no match
Examples: Inner join - SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id; Outer join - SELECT * FROM table1 LEFT OUTER JOI
SQL query to retrieve the second highest salary from a table
Use the ORDER BY clause to sort salaries in descending order
Use the LIMIT clause to retrieve the second row
Numpy is a library for numerical operations in Python, while Pandas is used for data manipulation and analysis.
Numpy is used for numerical operations like linear algebra, Fourier transform, etc.
Pandas is used for data manipulation tasks like data cleaning, merging, reshaping, etc.
Numpy works with arrays, while Pandas works with dataframes.
Numpy is more efficient for numerical computations, while Pandas is more user-fri...
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