Accenture Software Developer Interview Questions, Process, and Tips

Duration of 90 minutes consisting verbal, logical and technical questions

2 coding questions for 45 mins

Q1. Telll me about yourself
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Q2. Favourite subject any question for us
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Q3. Questions about academic projects
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Q4. Oops concept explanation
Ans. 
Oops concept is a programming paradigm that focuses on objects and their interactions.
• Oops stands for Object-Oriented Programming System

• It emphasizes on encapsulation, inheritance, and polymorphism

• Encapsulation is the process of hiding implementation details from the user

• Inheritance allows a class to inherit properties and methods from another class

• Polymorphism allows objects to take on multiple forms or behaviors

• Examp...read more
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Average level. easy to clear.

Q1. Moderate level. basic technical question. after this round managerial round in which behavioral and management question
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Q1. Behavioral and situation based question
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Q1. Salary and location discussion
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Q1. Related to AWS services
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Q2. Based on roles and responsibilities.
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Q3. Tell me about your tech stack?
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Aptitude round was the first round and around 50 questions were asked. Difficulty level is easy.

This was the second round and in this 3 coding questions was asked from data structures.

Q1. This is the technical Interview and the interviewer asked about the projects and also from some of the core subjects studied in B.tech.
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Q2. What is the difference between delete and trunk in SQL? Tell me about your Projects.
Ans. 
DELETE is used to remove rows from a table, while TRUNCATE is used to remove all rows from a table.
• DELETE is a DML command, while TRUNCATE is a DDL command.

• DELETE can be rolled back, while TRUNCATE cannot be rolled back.

• DELETE triggers row level triggers, while TRUNCATE triggers table level triggers.

• DELETE is slower as it maintains logs, while TRUNCATE is faster as it does not maintain logs.
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Q3. What are threads?
Ans. 
Threads are lightweight processes within a program that can run concurrently, allowing for multitasking and improved performance.
• Threads share the same memory space within a process

• Threads can communicate with each other more easily than separate processes

• Examples include a web server handling multiple requests concurrently or a video game rendering graphics while processing user input
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Q4. What is the complexity of binary sort?
Ans. 
Binary sort has a time complexity of O(log n).
• Binary sort is a divide and conquer algorithm that repeatedly divides the array in half until the target value is found.

• It has a time complexity of O(log n) because with each division, the search space is reduced by half.

• For example, in an array of 8 elements, binary sort will take at most 3 comparisons to find the target value.
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Q1. Tell me about yourself. Why should we hire you? Tell me about your strengths and weakness Where do you see yourself in 5 Years?
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