Software Testing Interview Questions in Thiruvananthapuram
36 practice questions with answers for Software Testing interviews in Thiruvananthapuram.
Software Testing jobs in Thiruvananthapuram
Thiruvananthapuram's Technopark is one of India's oldest IT parks, hosting IT-services, product and engineering-services companies. Data and testing teams here often work with global clients in finance, travel and healthcare.
Below are 36 questions that match the mix of service, product and domain employers hiring software testers in Thiruvananthapuram.
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01
Write test cases for live order tracking in a food delivery app.
Verify each status change appears in order: placed, accepted, preparing, picked up and delivered. Check the rider's location updates on the map at the expected interval. Test the estimated time updates when there is a delay. Verify notifications for each status. Check behaviour when the network drops and recovers, when the app is reopened, and when the order is cancelled midway. Confirm tracking stops after delivery and the rating screen appears.
02
What is the difference between a build and a release?
A build is a compiled version of the software created from the latest code, often many times a day, and given to QA for testing. A release is a tested, approved version delivered to customers or production, usually with release notes and a version number. Many builds can go through testing before one of them is promoted as a release. Testers always note the build number in bug reports.
In sprint planning, review each story's acceptance criteria and estimate test effort, including test data and regression. Write test cases in the first days while development starts. Ask for early builds so testing is spread across the sprint, not crowded at the end. Keep time for regression and bug retesting in the last two or three days. Track progress on the board and raise risks in stand-up.
First confirm you are testing the right build, which contains the fix, and clear the cache. Repeat the exact steps and data from the bug. If it still fails, reopen the bug with a comment stating the build number, what you did and the actual result, with a fresh screenshot or video. Talk to the developer directly if the steps differ from what they tested, so the fix is not tested on a different scenario.
06
Your automated accessibility scan shows zero errors. Is the page accessible?
Not necessarily. Automated tools catch only a part of WCAG issues, such as missing labels and contrast. A clean scan still needs manual checks: keyboard-only navigation, focus order, a screen reader pass, meaningful alt text and link names, error handling, zoom and reflow and dynamic content. Report the result as 'no automated violations found' and add the manual checklist outcome before claiming conformance.
Sprint planning (estimate test effort), daily stand-up (status and blockers), sprint review (demo) and retrospective (improve). Testers clarify acceptance criteria early and test within the sprint.
08
What is the pesticide paradox and how do you counter it?
The pesticide paradox says that if you run the same tests again and again, they stop finding new defects, just as pests become resistant to the same pesticide. To counter it, regularly review and update test cases, add new scenarios from recent production bugs, vary test data, and mix scripted runs with exploratory sessions. Rotating testers across modules also brings fresh eyes and new ideas.
A test harness is the setup of drivers, stubs, test data, scripts and tools needed to run tests on a component and collect results, especially when the full system is not available. For example, to test a pricing module, a harness can feed it input files, stub the tax service and compare outputs with expected values. In automation, the framework, runner and reporting together are often called the harness.
Scalability testing checks how well the system handles growing load by adding resources, such as more servers or bigger machines, and whether performance improves in proportion. For example, if two servers handle 1,000 users, do four servers handle about 2,000 at the same response time? It finds limits that resources cannot fix, such as a single database bottleneck, and helps plan capacity for future growth.
Find the documented limit, for example 100 requests per minute per key. Send requests just below and above the limit and check that extra requests get 429 Too Many Requests with a Retry-After header. Verify the counter resets after the window and that limits apply per key or per IP as designed. Check that one user hitting the limit does not block others, and that normal traffic is not throttled.
12
What are ACID properties and how can a tester check them?
ACID means Atomicity, Consistency, Isolation and Durability. Atomicity: a transfer that debits one account must also credit the other, or neither happens; test by forcing a failure midway. Consistency: constraints still hold after the transaction. Isolation: two users updating together do not see each other's half-done work; test with two sessions. Durability: committed data survives a restart; test by committing, restarting the service and querying again.
13
The UI shows the correct order total, but the database has a different value. What do you check?
Note the order ID and compare the UI value, the API response and the database value to find where they differ. Check if the UI calculates the total on the screen instead of using the saved value, whether taxes, discounts or rounding are applied at different layers and whether a later update job changed the record. Log the bug with all three values, because invoices and reports will use the database figure.
14
What are the main testing differences between Android and iOS?
Android has many manufacturers, screen sizes and OS versions with custom skins, so device fragmentation and background-kill behaviour need more coverage. iOS has fewer devices but strict permission, privacy and store review rules. Navigation differs: Android has a system back button or gesture, iOS relies on in-app navigation and swipe back. Notification, permission and file-access behaviours also differ, so test cases need platform-specific steps.
Verification: are we building the product right? (reviews, walkthroughs — no code run). Validation: are we building the right product? (actual testing against user needs).
17
A CAPTCHA on the signup page blocks screen reader users. What do you recommend?
Log it as a high-severity accessibility bug because it fully blocks a group of users from signing up. An image-only CAPTCHA fails WCAG unless an alternative is offered. Recommend options such as invisible or risk-based bot checks, an email or OTP verification step, an audio alternative plus another modality, and rate limiting on the server. Retest the full signup with NVDA and TalkBack after the change.
18
How do you convert existing manual test cases into automated scripts?
Pick a small set of stable, high-value regression cases first. Review each one: make steps precise, remove judgement-based checks and define clear expected results. Prepare test data that the script can create and clean up. Build reusable page objects and helpers for common steps like login. Automate, run several times to confirm stability, then link each script to its manual case ID and mark the manual case as automated.
19
A manager says the app has 50,000 daily users, so the load test must run 50,000 virtual users at once. How do you respond?
Explain that daily users are not concurrent users. Of 50,000 users a day, only a fraction are active at the same moment, and even they pause between actions because of think time. Use analytics to find the real peak concurrency and request rate, for example 1,500 concurrent users at peak hour, and model that with a safety margin. Running 50,000 users clicking at once tests a load that never happens and wastes effort.
20
Write a simple Playwright test in TypeScript that logs in and checks the dashboard heading.
Retesting, or confirmation testing, checks that a specific bug that was fixed now works, using the same steps as the original bug. Regression testing checks that the fix or a new change has not broken other, previously working features. Retesting is planned for failed cases only, while regression covers a wider set of passing cases. Retesting usually comes first, then regression around the changed area.
22
What is the difference between smoke testing in CI and full regression?
Specification-based (black box) techniques derive tests systematically from requirements: equivalence partitioning, boundary values, decision tables, state transitions and use cases. They give measurable coverage. Experience-based techniques rely on the tester's knowledge and intuition: error guessing, exploratory testing and checklist-based testing. They are good at finding defects the specification never mentioned. Strong testers use specification techniques for coverage and experience techniques to fill the gaps.
24
SQL: find customers who placed more than three orders in the last 30 days.
SELECT c.id, c.name, COUNT(o.id) AS order_count
FROM customers c
JOIN orders o ON o.customer_id = c.id
WHERE o.order_date >= CURRENT_DATE - INTERVAL '30' DAY
GROUP BY c.id, c.name
HAVING COUNT(o.id) > 3
ORDER BY order_count DESC;
Model answer: Situation: I logged a bug where the invoice PDF showed the wrong GST number, and the developer marked it minor because the screen value was correct. Task: get the right priority. Action: I explained that customers use the PDF for tax filing and showed the requirement. Result: the product owner agreed it was major, it was fixed before release, and we added PDF checks to regression.
27
Describe a time an automated test caught a regression that manual testing would have missed.
Situation: a small tax rounding change was made late on a Friday. Task: no manual regression was planned for pricing. Action: our nightly API suite failed one data-driven case where a 3-item cart was off by one rupee; I checked the trace, reproduced it manually and logged it with the failing input. Result: it was fixed before release, and the team agreed to keep pricing tests in the pull request suite.
SQL injection happens when user input is added directly into a database query, letting an attacker change the query to read or modify data. A tester can enter inputs like a single quote or ' OR '1'='1 in login, search and URL parameters and watch for database errors, unexpected results or a login bypass. Only test in approved environments. The real fix is parameterised queries, not input filtering alone.
An urgent patch released outside the normal schedule to fix a critical production defect, followed by regression testing and merge back to the main branch.
32
How do you run a moderated usability test session?
Define goals and three to five realistic tasks, such as 'Book a train ticket for next Friday'. Recruit participants who match real users. In the session, explain that you are testing the product, not them, ask them to think aloud, and avoid hinting even when they struggle. Record the screen with consent, note where they hesitate or fail, and finish with a short questionnaire. Then group findings by severity and frequency.
33
How do you balance manual testing and automation work in the same sprint?
I agree the split with the team at sprint planning. Testing new stories manually comes first because it blocks the sprint goal. I then automate the stable flows from the previous sprint, so scripts are not rewritten while features change. For example, I block two afternoons a week for automation and report progress in stand-up. If a release is at risk, I pause automation and tell the lead openly.
The OWASP Top 10 is a widely used list of the most critical web application security risks, published by an open community project. It includes broken access control, cryptographic failures, injection, insecure design, security misconfiguration, vulnerable components and authentication failures. Testers use it as a checklist to include basic security checks in their testing and to speak the same language as security teams.
Set browser zoom to 200 percent and check that all text is readable and no content or buttons are cut off. Then zoom to 400 percent, or use a 1280 pixel wide window, which gives a 320 CSS pixel viewport; content should reflow into one column without horizontal scrolling, except for things like data tables and maps. Also increase text spacing and the operating system font size to check that labels do not overlap.
Which companies hire Software Testing professionals in Thiruvananthapuram?
Companies with large offices in Thiruvananthapuram include UST, Tata Elxsi, Quest Global. Use their company pages below to practise employer-specific sets.
Are Software Testing interviews in Thiruvananthapuram different from other cities?
The questions depend more on the company than the city. Thiruvananthapuram's mix of employers decides the style: Data and testing teams here often work with global clients in finance, travel and healthcare
How do I find Software Testing jobs in Thiruvananthapuram?
Shortlist companies with Thiruvananthapuram offices, keep your CV focused on Software Testing projects, apply on company career pages and job portals with the Thiruvananthapuram filter, and practise the questions on this page before each interview.