Manual Software Testing Interview (Q&A for QA)

Define the software development lifecycle (SDLC) as activities from idea to end life, and classify models into sequential (waterfall, V model) and iterative (scrum, Kanban, XP, spiral).

Explore the waterfall model, a sequential development approach with phases (requirements, design, coding, testing, deployment, maintenance), its late testing, potential backtracking, and its documentation advantage.

Explore iterative development, building features in cycles, and incremental development, growing features in increments. The lecture uses a website example with backlog, kanban, sprints, and working new versions.

Define agile software development, its manifesto and 12 principles, and summarize common practices like iterative and incremental delivery, self-organizing cross-functional teams, user stories with acceptance criteria, and daily stand-ups.

Learn how Scrum, an agile iterative framework, uses a product backlog, sprints, and a cross-functional team to deliver increments through sprint planning, daily scrums, reviews, and retrospectives.

Define what Kanban is as an agile development method adapted for software, using a Kanban board and work in progress limits to visualize work and maximize flow.

Explore the difference between Scrum and Kanban in agile development; Scrum uses sprints, velocity, and story points, and a product backlog, while Kanban emphasizes flow with work in progress limits.

Explore the software testing life cycle (stlc) and its stages within an agile sdlc framework, including test planning, monitoring and control, analysis, design, implementation, execution, and completion.

Explore ISTQB entry and exit criteria across SDLC stages and test levels, craft test plans, determine test conditions, build traceability matrices, write test cases, execute tests, and report defects.

Explore the Ice Cube scheme of software testing, highlighting four main types—functional, non-functional, white box, and change related testing—and mention eight non-functional properties.

Smoke testing checks the main functionality to confirm basic operability before broader testing; sanity testing checks a subset to decide if testing should continue.

Learn how test design techniques—black box, white box, and experience based—guide selecting test cases to quickly identify defects, with examples like equivalence partitioning, boundary value analysis, and exploratory testing.

Explain equivalence partitioning as a black box testing technique that divides inputs into valid and invalid partitions. Choose representative test cases to cover each partition with a minimal set.

Invite learners to rate the course and share feedback to drive improvements, with in-app rating controls in the header and hamburger menu.

Explore the client-server model and how it works, including free vs full course coverage, and core topics such as URI, URL, and Uran, and HTTP request/response and HTTP vs HTTPS.

Understand client-server architecture and how servers provide services to clients, enabling rest api testing through requests and responses across devices like maps apps.

Analyze the core components of an http request, including url structure with protocol, domain name, and path, and see how get, post, put, and delete drive client server interactions.

Identify the two key elements of an http response—the three-digit status code and the response body—and understand how a 200 status indicates a successful request for basic rest api testing.

Explore capturing network traffic tools and their role in testing, review the pros and cons of popular tools such as Wireshark, tcpdump, Microsoft Network Monitor, Fiddler, and Tshark.

Learn to install and launch Wireshark, navigate its interface, capture and filter traffic, apply coloring rules, use expert analysis, view statistics, and export packets for QA testing.

Discover the scope of web testing, including free vs full course differences, the difference between cash and cookies, and topics such as authorization versus authentication, testing tools, and a checklist.

Explore how web cache stores data temporarily in browser memory to speed up page loads, using examples like the Google icon and cached images.

Understand internet cookies, small data files stored on a user’s device that capture language settings and login details. See how cookies drive client-server exchanges and persist preferences across pages.

Explore web testing tools, their categories, and the advantages and disadvantages of popular options like Chrome DevTools and BrowserStack, to ensure functionality, performance, accessibility, and security across browsers.

Explore Chrome DevTools to inspect and edit HTML and CSS, test different screen resolutions and devices, inspect network requests, and debug JavaScript in real time.

Explore BrowserStack's cloud testing platform to run web app tests on real devices and emulators, log bugs to Jira or Trello, and manage test cases and runs.

Discover how to use ChatGPT for software testing, from requirements analysis to automation. Explore API testing, test monitoring, and practical prompting techniques and templates to boost QA efficiency.

We compare Bard, Bing AI, and Chat Sonic as top AI alternatives to ChatGPT for software testing, covering user story creation, test cases, code correction, and test data generation.

Explore the scope of mobile testing, including native, web, and hybrid app differences, free and full course versions, simulators and emulators, tools, and checklists.

Explore what mobile testing is and why it matters, evaluating functionality, performance, usability, and security across thousands of devices to meet high user expectations and gain a competitive edge.

Compare native, web, and hybrid apps to understand platform optimization, access to device features, and the distinctive development trade-offs highlighted in the lecture.

Explore the main types of mobile devices—smartphones, tablets, wearables, and gaming devices—and their role in mobile testing, including compatibility, performance, and functionality considerations.

Explore current iOS and Android versions in use, review adoption data, and highlight how testing across multiple operating systems ensures compatibility, security, and broad user reach.

Explore mobile interruption testing, covering phone calls, notifications, hardware interruptions, network disruptions, and battery issues, and identify common bugs like app crashes and unresponsive behavior.

Explore update mobile testing, covering functional testing, regression testing, compatibility testing, usability testing, performance testing, and data migration testing, with iOS and Android workflows, release notes, and common bugs.

Discover mobile installation and uninstall testing for Android and iOS, covering apk and ipa files, app store methods, TestFlight, permissions, resources, and common bugs.

Discover mobile testing tools, their categories, and the advantages and disadvantages of popular options like Android Studio, Xcode, BrowserStack, and cross-platform tools such as Katalon Studio and Perfecto.

Explore Xcode fundamentals for testers: install Xcode, navigate its main interface, view device logs, run iOS simulators, test apps, and use instruments for performance analysis.

Explore Android Studio basics, from installation and interface components to connecting devices, viewing logcat, using the emulator, and installing and launching apps on a device or emulator.