Ultimate Interview Guide | Software Testing, Python, Java, DSA
๐ Ultimate Interview Guide
Software Testing • Python • Java • Data Structures & Algorithms
๐งช Software Testing Questions
- What is software testing?
- What is manual testing and automation testing?
- What are the types of testing?
- Difference between verification and validation?
- What is regression, smoke, and sanity testing?
- What is bug life cycle?
- Difference between severity and priority?
- Explain test case and test plan.
- What are boundary value and equivalence partitioning?
- How do you report a bug in Jira?
๐ Python Questions
- What are Python features?
- Difference between Python 2 and 3?
- What is a list, tuple, set, dictionary?
- What is a function and lambda function?
- Explain Python OOP concepts.
- Difference between shallow and deep copy?
- What is a Python iterator and generator?
- How to handle exceptions in Python?
- What are decorators and their uses?
- Explain Python modules and packages.
☕ Java Questions
- What are Java features?
- Difference between JDK, JRE, JVM?
- Explain OOP concepts: encapsulation, inheritance, polymorphism, abstraction.
- Difference between abstract class and interface?
- Explain exception handling in Java.
- What is multithreading and synchronization?
- Difference between ArrayList and LinkedList?
- Difference between HashMap and Hashtable?
- Explain Java memory management.
- What is final keyword?
๐ง Data Structures & Algorithms (DSA) Questions
- What is a data structure?
- Difference between array and linked list?
- Difference between stack and queue?
- What is a binary tree?
- BFS vs DFS?
- What is a hash table?
- Difference between heap and stack memory?
- Explain Big O notation.
- What is recursion and give an example?
- Explain sorting algorithms and their complexities.
- Brief intro to dynamic programming.
- Graph basics: types and traversal.
๐ Tips to Crack Interviews
- Understand fundamentals first: Software Testing, Python, Java, DSA.
- Practice coding problems daily on LeetCode/HackerRank.
- Write clean code and explain logic clearly.
- Revise OOP principles and Python basics.
- Prepare common QA concepts: regression, smoke, sanity, bug life cycle.
- Practice data structures: arrays, strings, linked lists, stacks, queues, trees, graphs.
- Focus on problem-solving and logical thinking, not only tools.
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