HUDL Senior Software Engineer Interview Questions and Answers

Aptitude test will a hackerrank test where it might have technical MCQ and/or coding test.

Q1. Interviewer will test your logic building capability with puzzel/coding and technical questions and experience discussion.
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Q1. Its a normal discussion with HR about CTC and all.
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Q1. Basic Oracle Architecture, RAC Setup, Golden Gate Troubleshooting, Data Guard recover, RMAN restoration
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Q1. Advantage and disadvantage of framework.
Ans. 
Frameworks provide structure and pre-built components for software development, but can also limit flexibility and require learning curve.
• Advantage: Provides structure and pre-built components for faster development

• Advantage: Can improve code quality and maintainability

• Disadvantage: Can limit flexibility and customization

• Disadvantage: Requires learning curve and potential dependency issues

• Example: ReactJS provides a fr...read more
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Q1. What is Oops? Advantage and disadvantage
Ans. 
Oops stands for Object-Oriented Programming. It is a programming paradigm that uses objects to represent real-world entities.
• Advantages: code reusability, modularity, encapsulation, inheritance, polymorphism

• Disadvantages: complexity, steep learning curve, performance overhead

• Example: creating a class 'Car' with properties like 'make', 'model', and 'year', and methods like 'start_engine' and 'stop_engine'
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Q1. Tell me about yourself
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Q1. Technical interview and analytical questions
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Q1. What is the problem of finding the lowest common ancestor in a binary tree?
Ans. 
Finding the lowest common ancestor (LCA) in a binary tree identifies the deepest shared ancestor of two nodes.
• The LCA of two nodes is the deepest node that is an ancestor to both nodes.

• In a binary tree, the LCA can be found using recursion or iterative methods.

• Example: In a tree with nodes 4, 5, 6, and 7, the LCA of 4 and 5 is 2 if 2 is their parent.

• If one node is an ancestor of the other, the LCA is the ancestor node ...read more
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Q2. What is the method to find the frequency of a word in a large text file?
Ans. 
To find word frequency in a large text file, read the file, tokenize words, and count occurrences using a dictionary or hashmap.
• Read the file line by line to handle large files efficiently.

• Use a dictionary to store words as keys and their counts as values.

• Tokenize the text using whitespace and punctuation as delimiters.

• Convert words to lowercase to ensure case insensitivity.

• Example: For the text 'Hello world! Hello', t...read more
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