Given a large-scale microservices architecture with asynchronous communication and distributed data storage, how would you implement a robust and scalable testing strategy to ensure data consistency, fault tolerance, and overall system reliability? Please outline your approach, including test automation frameworks, performance testing methodologies
How did you interact with an inner customer? Meaning your co-workers from different departments.
1. Java coding: find the longest substring from a string, In an array {1,0,2,3,0,4,0,0} the output should be {1,2,3,4,0,0,0,0} 2. Stream APIs in JAVA, get the first and second highest in an array using Streams 3. Get data from the Hash Map, using entry set 4. take input from the system as string and shift it to 3, ex: Tuesday and output should be: sdayTue
Both of the rounds were technical related to automation process. questions around automation framework and different type of testing required.
Burn up and Burn down charts
Selenium based questions TestNG based questions Java based questions OOPs JavaScript based questions async, await, promises, var, let, const Find the duplicate number from the array.
There were lots of Chemical\Mechanical Engineering questions relevant to the software they produce.
Tell me a bit about yourself
1. Bubble sort in python. 2. Load and stress testing and its examples. 3. Basics of performance testing 4. Defects and examples of different priority and severity issues. 5. Conflictive questions related to teamwork between devs and QA
1. Candidate needs to become an online compiler first to see problems and provide the output of the code snippet. (10-15 such questions) 2. Custom Exception concept and write a program. 3. Wrapper class 4. OOPS concept-related programs/code snippets where again you have to say the output. One program consists multiple sysout, where candidate need to write output 5. Page Object Model/Pattern 6. HashMap-related questions 7. Treeset 8. LinkedHashMap
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