ElectrifAi Analytics Specialist Interview Questions and Answers

Q1. More than technology,a senior recruiter asks where you stay which gali you stay,which temple is near by,what your husband do,getting into more personal and final he will ask your janam kundali and tell you...read more
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Q1. Senior recruiter will ask more personal questions
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Employee model CRUD APIS USING SRPING BOOT & MYSQL

Q1. TELL ME ABOUT YOUR SELF
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Q2. SPRING BOOT VS SPRING
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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...read more
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Q3. JPA VS HIBERNATE WHAT IS ADVANTAGE USING JPA
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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
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Q4. WHTA IS MYSQL GROUP BY & DISTINCT
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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
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Q5. WHAT ARE SCOPES ARE AVAILABLE IN SPRING
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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.
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Q1. Basic Technical Interview
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Q2. Basics on Framework used
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Q3. Infrastructure related
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Q4. Process and security
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Q1. Salary expectations and negotiation
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Strong appitude knowledge is required.

Q1. String , arrays, oops
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Q1. Strecture of sql statement
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SQL statements are used to interact with databases by performing operations like querying, updating, and deleting data.
• SQL statements are made up of keywords like SELECT, INSERT, UPDATE, DELETE, etc.

• They are structured in a specific order, with clauses like WHERE, ORDER BY, GROUP BY, etc.

• Tables are referenced using their names, and conditions are specified to filter data.

• Joins can be used to combine data from multiple
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Q1. Basic mathematics question, basic English and SQL questions
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Q1. Resume based questions
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Q2. Different types of commands
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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
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Q3. Difference between inner join and outer join
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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
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Q4. Write SQL query to get second highest salary
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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
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Q5. What's the difference between numpy and pandas
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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...read more
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