LinkedIn QA engineer interviews test automation frameworks, test strategy, CI integration, performance testing, and debugging complex multi-service systems.
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coding
Easy
Verified Question
#1
1. Balanced Parentheses
Category: String coding problemConfiguration files at LinkedIn are written in JSON, YAML, and HOCON formats. Malformed config files can bring down multiple services, so validators...Input: String
Output: Printed output
coding
Medium
Verified Question
#2
2. Words From Phone Number
Category: String coding problemA standard phone keypad maps digits to letters as follows:
Output: Array
coding
Medium
Verified Question
#3
3. Circular Signal Window
Category: Array coding problemYou are given a circular array
signal of 0s and 1s representing antenna readings logged in sequence, where 1 means good signal and 0 means...Input: ArrayOutput: Integer
coding
Easy
Verified Question
#4
4. Active Sprint Filter
Category: Graph coding problemA project tracking system logs team activity throughout the workday. Each log entry has the format
"teamId action timestamp", where action is...Input: Graph (nodes and edges)Output: Printed output
coding
Medium
Verified Question
#5
5. Dependency Task Executor
Category: Graph coding problemA build system manages pipeline steps where each step may depend on other steps completing first. Implement the
BuildPipeline class:...Input: Graph (nodes and edges)Output: Computed result
coding
Medium
Verified Question
#6
6. Daily Branch Pruning
Category: Tree coding problemA file system manages a directory tree. Each day, all leaf directories (those with no child directories) are simultaneously removed. Directories that...Input: Array
Output: Array
coding
Hard
Verified Question
#7
7. [OA] Minimum Weight Ceiling Path
Category: Graph coding problemA network topology connects
n servers labeled 1 to n. Each connection is a bidirectional link with a bandwidth cost. A network engineer needs...Input: Graph (nodes and edges)Output: Integer
coding
Hard
Verified Question
#8
8. Priority Cache System
Category: String coding problemA CDN (Content Delivery Network) maintains a fixed-capacity cache of web content. Each content item has an associated priority score. When the cache...Input: String
Output: Integer
coding
Medium
Verified Question
#9
9. Distribution Center Placement
Category: Array coding problemA logistics company is expanding its distribution network along a single highway. You are given an array of integers
locations representing the...Input: Array of integersOutput: Computed result
coding
Medium
Verified Question
#10
10. Manual String Substitution
Category: String coding problemA template engine needs to substitute all occurrences of a pattern in a template string with a replacement string, without using any built-in...Input: String
Output: Printed output
coding
Hard
Verified Question
#11
11. Combine N-ary Trees
Category: Tree coding problemYou are given the roots of two N-ary organization charts, each representing a hierarchical department structure. Every node has an integer...Input: List
Output: Computed result
coding
Medium
Verified Question
#12
12. Closest Value Pair
Category: Array coding problemAn inventory system has two sorted product catalogs
A and B. Each value in the catalog represents a product size. Find a pair [a, b] where a...Input: ArrayOutput: Computed result
coding
Medium
Verified Question
#13
13. Digit Replacement Maximizer
Category: String coding problemA numeric optimization system performs exactly
k substitution operations on a number string s. In each operation, choose any digit in s that is...Input: StringOutput: Computed result
coding
Hard
sliding window
#1
1. [OA] Binary Search — Implement a Flaky Test Detector used in LinkedIn QA
As LinkedIn scales, it becomes crucial to identify and reduce flaky tests that intermittently fail. Your task is to implement a
Example 1:
Input: reportResult('FeedTest', True)
Output: None
Explanation: Records a passing result for 'FeedTest'.Example 2:
Input: isFlaky('FeedTest')
Output: False
Explanation: 'FeedTest' is not flaky since no failures recorded yet.Constraints:
FlakyTestDetector that monitors test execution results and flags tests that exhibit flakiness.reportResult(testName: str, result: bool) -> None: Records the result of a test.isFlaky(testName: str) -> bool: Checks if a test is marked as flaky based on the number of reported results.
Example 1:
Input: reportResult('FeedTest', True)
Output: None
Explanation: Records a passing result for 'FeedTest'.Example 2:
Input: isFlaky('FeedTest')
Output: False
Explanation: 'FeedTest' is not flaky since no failures recorded yet.Constraints:
1 <= testName.length <= 50- Each test can be reported multiple times.
coding
Medium
tree
#2
2. [OA] Depth-First Search — Implement a Test Result Tracker for LinkedIn’s Automation Suite
LinkedIn needs to efficiently track and manage test results for its extensive automation suite. This involves navigating through a complex system of test cases and results.
You are tasked to implement a
Example 1:
Input: addResult('LoginTest', True)
Output: None
Explanation: Adds a test result for 'LoginTest'.Example 2:
Input: getResult('LoginTest')
Output: True
Explanation: Returns the result for 'LoginTest'.Constraints:
You are tasked to implement a
TestResultTracker class that can record and manage test outcomes efficiently.addResult(testName: str, result: bool) -> None: Records the result of a test case. If the test already exists, it updates the result.getResult(testName: str) -> bool: Retrieves the result of a test case, returning false if it doesn't exist.
Example 1:
Input: addResult('LoginTest', True)
Output: None
Explanation: Adds a test result for 'LoginTest'.Example 2:
Input: getResult('LoginTest')
Output: True
Explanation: Returns the result for 'LoginTest'.Constraints:
1 <= testName.length <= 100resultis a boolean value (True or False).
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