CGI Group Interview Questions, Process, and Tips

Contained 2 coding questions 1 easy and 1 medium along with some aptitude questions

Q1. A little difficult technical round containing questions related to projects and DSA
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Q1. Relatively easy technical round containing theoretical questions from DSA
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Q2. What is a vector how is it different from array
Ans. 
A vector is a dynamic array that can resize itself, while an array has a fixed size.
• Vectors can grow or shrink in size dynamically, while arrays have a fixed size.

• Vectors can easily insert or remove elements at any position, while arrays require shifting elements.

• Vectors provide bounds checking and can be passed by value, while arrays cannot.

• Example: vector names = {"Alice", "Bob", "Charlie"};
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Q1. Basic java and apache camel questions
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Q1. Basic and few advanced java and apache camel questions
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Q1. Discussion on salary and company culture.
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Q1. Oops, solid principles
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Q1. Basic core java, multi threading, spring, collection
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Q2. Spring features
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Q3. Spring vs spring boot
Ans. 
Spring is a framework for building Java applications, while Spring Boot is a tool that simplifies the setup and configuration of Spring applications.
• Spring provides a comprehensive framework for building Java applications, including features like dependency injection, AOP, and MVC.

• Spring Boot is built on top of Spring and provides auto-configuration, which reduces the boilerplate code required to set up a Spring applic...read more
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Q4. Multi threading
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Q5. Map vs flat map
Ans. 
Map applies a function to each element of a stream and returns a new stream of the results. FlatMap applies a function to each element and flattens the results into a single stream.
• Map transforms each element of a stream independently.

• FlatMap transforms each element of a stream and flattens the results into a single stream.

• Map is useful when you want to transform each element of a stream into another type.

• FlatMap is us...read more
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Q1. Types of schema
Ans. 
Types of schema include star schema, snowflake schema, and fact constellation schema.
• Star schema: central fact table connected to dimension tables in a star-like structure.

• Snowflake schema: normalized form of star schema with dimension tables further normalized.

• Fact constellation schema: multiple fact tables share dimension tables.
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Q1. Angular life cycle
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Q2. Angular subject
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Q3. Content negotiation
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Q4. Json serialization
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Q5. Authentication and authorisation
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