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Exam pattern & syllabus

Screening tests aptitude, logic, communication, and QA readiness — not deep coding.

60 questions
60 minutes
MCQ · 4 options
No negative marking

Section	Qs	What we assess
Aptitude & Quantitative	15	Problem-solving
Logical Reasoning	10	Analytical thinking
English & Communication	10	Corporate communication
Technical Basics (QA / IT)	15	Domain fundamentals
Scenario-Based	5	Practical judgment
Learning & Career Mindset	5	Dedication & attitude

1. Aptitude & Quantitative

Percentages · Profit & Loss · Time & Work
Speed & Distance · Ratios · Simple Interest
Number Series

2. Logical Reasoning

Patterns · Coding-Decoding · Blood Relations
Direction Sense · Seating Arrangement
Statements & Conclusions

3. English & Communication

Grammar · Error Spotting · Sentence Rearrangement
Reading Comprehension · Vocabulary
Email writing basics

4. Technical Basics (fresher-friendly)

SDLC / STLC · Manual testing basics
Java basics · OOP concepts · SQL basics
API concepts · Browser & internet basics
Automation awareness

5. Scenario-based questions

Bug priority vs severity
Team communication · Deadline handling
Real-time problem-solving

6. Learning attitude & career mindset

Why IT / QA? · How you learn new tools
Handling failure · Training commitment

Revise school-level aptitude and basic IT concepts. Designed to find serious learners — not trick questions.

◆ DutyTap QA Program

Your journey to Full Stack QA with AI

From exam to internship — one clear path to your QA career.

7 Milestones

100% Scholarship

6 mo Train + Intern

Phase 1 · Selection
You are here Register for Exam Complete the form on the right to begin
Complete Exam Prove your QA aptitude online
Qualified → Interviews Top performers are shortlisted
Phase 2 · Learning
Up to 100% off Full Stack QA + AI Training Selected candidates receive scholarship on the complete course
Offline Workshop Hands-on sessions for enrolled members
4 Months Intense Training Manual · Automation · AI-driven QA
Phase 3 · Career launch
2 Months Internship Referrals to companies in your trained domain

QA evolution 2000 → 2030

Industry milestones — past facts, today’s stack, and 2030 as projected direction (not guaranteed).

Manual → Automation → AI-Native QA

2000 Manual era

Manual-dominated QA

Waterfall / V-Model — testing mostly at the end of the cycle
Test cases in Excel/Word; defects in tools like Bugzilla
Mercury stack: Test Director, WinRunner, LoadRunner
Heavy UAT; automation existed but was costly & brittle

2026 AI era · Now

Current landscape

DevOps QA + AI-assisted testing

Agile/DevOps — shift-left; tests in CI/CD (Jenkins, GitHub Actions)
Web/API automation: Selenium, Playwright, Cypress, Postman, REST Assured
Microservices, cloud & containers — API/contract testing is standard
GenAI (from ~2023) for cases, data & docs; self-healing & visual AI tools

2030 Next wave

AI-native quality engineering (projected)

Agentic AI co-pilots creating & updating tests from code/requirements
Predictive quality analytics — risk-based testing at scale
Stronger production signals — observability, chaos & continuous validation
Human oversight remains — ethics, compliance & critical judgment

1 Your details
2 Razorpay · ₹499
3 Team sends exam link
4 60 min exam

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Exam link shared manually to your registered email
60 MCQs · 60 minutes once you receive the link

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