37 practice questions for Rippling QA Engineer interviews
Rippling QA engineer interviews test automation frameworks, test strategy, CI integration, performance testing, and debugging complex multi-service systems.
Question You are building a simplified card game where each player has a hand of cards and the higher-rated hand wins. Each hand contains exactly...
Input: String Output: Computed result
codingHardVerified Question#2
2. [AI Enabled Coding] Design Logger
Category: Array coding problem
Question You need to design a logger library for a new application. The design should be able to allow us to easily add future loggers, like a db...
Input: Array Output: Printed output
codingMediumVerified Question#3
3. [AI Enabled Coding] Food Delivery Company
Category: String coding problem
Question You are building a driver payment system for a food delivery company. The accounting team needs to track how much money is owed to drivers...
Input: String Output: Integer
codingHardVerified Question#4
4. [AI Enabled Coding] Rule Evaluator
Category: String coding problem
Question You need to build a rule evaluation system for a corporate credit card platform. Managers should be able to create rules that enforce...
Input: List Output: Computed result
system designHardVerified Question#5
5. Top 5 Rippling System Design Questions
Category: Sliding window system design problemThese are commonly asked system design questions from Rippling interviewsInput: Given input Output: Computed result
technicalMediumVerified Question#6
6. How to pass AI Enabled Coding Rounds From FAANG Interviewer
Category: Algorithm coding problem
Tips For AI Coding Rounds AI coding rounds are not as different from regular coding rounds as you might think. The interviewer still needs to get...
Input: Given input Output: Computed result
codingHardtest automation#1
1. [OA] Test Automation — Build a parallel testing framework for Rippling’s web application.
In order to ensure the quality of our rapidly evolving web application, Rippling needs an efficient mechanism to run UI tests concurrently across different browsers. This will speed up the release cycle while maintaining stability. Implement a function that facilitates running tests in parallel using Playwright/Selenium.
def run_tests_in_parallel(test_cases: List[str]) -> List[str]: Runs a list of provided test case scripts in parallel and returns their results.
Example 1: Input: ["test_login", "test_dashboard", "test_settings"] Output: ['passed', 'failed', 'passed'] Explanation: The first and last test cases passed, while the second test case failed. Constraints:
1 <= len(test_cases) <= 100
Each test case is a valid string representing a test name.
system designSeniorcaching#2
2. [OA] LRU Cache — implement the caching layer Rippling uses for frequent API responses.
Rippling's services rely on efficient caching solutions to improve response times and reduce database load. You need to implement an LRU Cache that manages API responses effectively.
class LRUCache:
def __init__(self, capacity: int): Initializes the LRU Cache with a specified capacity.
def get(self, key: int) -> int: Returns the value for the specified key, or -1 if not found.
def put(self, key: int, value: int) -> None: Updates or inserts the value for the specified key.
Example 1: Input: cache = LRUCache(2); cache.put(1, 1); cache.put(2, 2); cache.get(1) Output: 1 Explanation: Returns 1, as key 1 is present in the cache. Constraints: