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Prep plan
Updated weekly · Last refresh Oct 17

Pattern QA Engineer Interview Questions

The questions to prepare for a Pattern QA Engineer interview. Questions from real interview reports rank first. Updated daily.

18questions
~3htotal time
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1
CodingStart here. 5 questions · ~58 min
Maximum Sum Contiguous SubarrayEasy
Practice

Use Kadane's algorithm to find the contiguous subarray with the largest sum in linear time.

Dynamic ProgrammingArraysGreedyPattern
Scraping Data From a WebsiteMedium

Assesses your approach to data extraction, reliability, and testability for QA workflows.

data extractionPattern
LCM Over Array PairsMedium
Practice

Calculate the LCM for every unordered pair in an array using the Euclidean algorithm for GCD.

MathArraysloopsPattern
Array Frequency CounterEasy
Practice

Count how many times each integer appears in an array using a single-pass frequency map.

Hash Tablesfrequency countArraysPattern
Debug Code for Logic and PerformanceMedium

Tests debugging skills across correctness and performance for production-quality code.

basicsDebuggingperformance analysisPattern
2
Behavioral & Leadership11 questions · ~128 min
Isolating a Hard-to-Reproduce BugMedium

Tests ownership and structured debugging under ambiguity, including how you isolate intermittent embedded issues and improve team diagnosis afterward.

CommunicationProblem SolvingDebuggingPattern
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3
More topics2 questions · ~23 min
Detect Duplicate Customer RecordsMedium
Practice

Identify duplicate customer records within each Pattern ecommerce partner using normalized email addresses.

deduplicationdata cleaningdata accuracyPattern
Join Types and Test ScenariosMedium

Tests SQL join understanding and ability to design validation scenarios for ecommerce data.

Joinsjoin typesPattern

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Handle Nulls in Large JoinsMedium
Practice
Practice drill

Write a PostgreSQL join that preserves all orders and clearly classifies NULL and unmatched customer keys.

null handlinglarge datasetsJoinsPatternSwiggyQuantiphi
Rolling 30-Day Sales VolumeMedium
Practice
Practice drill

Calculate each product's daily sales and rolling 30-day sales volume using PostgreSQL date-based aggregation.

Window FunctionsDate FunctionsData ManipulationPattern
The finish line: interview-readyComplete all 18 questions plus 2 hands-on drills to finish this plan.