Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Siemens hiring for Software Testing roles
Siemens is a German technology company working in industrial automation, digital industries software, smart infrastructure, mobility and healthcare through Siemens Healthineers. Its India entities include engineering and technology centres in Bengaluru and Pune. It hires for software engineers, test engineers, data analysts and engineers working on industrial software and IoT.
For Software Testing roles, this Siemens practice set focuses most on Bug Life Cycle and Jira (5), Accessibility & Usability Testing (5), Database Testing (5), Automation Basics for Manual Testers (4). It has 2 easy, 28 medium, 10 hard questions, so you can start easy and work up to the harder ones.
Company type
Hardware & semiconductors
Headquarters
Munich, Germany
Main India offices
Mumbai, Bengaluru, Pune
Siemens Software Testing interview process
Online assessment (aptitude + technical)
Technical round 1
Technical round 2
Managerial round
HR round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
Solved for SiemensStart practicing
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01
What is a sprint planning meeting and what does QA contribute?
Start with preconditions: environment, build number, user role and the exact data state, such as an account with two pending orders and zero wallet balance. Mention how to create the data or give the test account ID. Then list numbered steps with exact inputs and finish with expected and actual results. If the data is hard to set up, attach the SQL used or a database screenshot so the developer can recreate it quickly.
03
Write a pytest test using requests that checks a GET call returns 200 and a non-empty list.
Agree on scope: key user journeys and page templates, not every page. Day one, run automated scans on all templates to fix easy issues fast. Then do manual checks of each journey with keyboard, NVDA, VoiceOver on mobile, zoom and contrast. Log issues with WCAG references and severity, and get blockers fixed first. Retest fixes and deliver a conformance summary with known issues. Be honest if full compliance is not realistic.
05
As a QA lead, how do you measure the quality of test case design?
Look at requirement coverage through the traceability matrix, the share of defects found by scripted tests versus exploratory testing or production, and defect leakage per module. Review samples for clear objectives, correct expected results and use of techniques like boundaries and negative cases. Track how many cases were updated or retired after changes. If many production bugs map to areas with passing tests, the design, not the execution, needs improvement.
06
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.
07
SQL: find rows where mandatory columns are NULL or empty in a customers table.
-- Mandatory fields: name, email, phone
SELECT id, name, email, phone
FROM customers
WHERE name IS NULL OR TRIM(name) = ''
OR email IS NULL OR TRIM(email) = ''
OR phone IS NULL OR TRIM(phone) = '';
-- Expected result: no rows
08
Write a JQL query for open high or highest priority bugs in the current sprint of project PAY.
project = PAY
AND issuetype = Bug
AND statusCategory != Done
AND priority in (Highest, High)
AND sprint in openSprints()
ORDER BY priority DESC, created ASC
09
What is ETL testing and how does it relate to database testing?
ETL testing validates data that is Extracted from source systems, Transformed by business rules and Loaded into a target such as a data warehouse. It is a specialised form of database testing. Checks include source-to-target row counts, transformation rules such as currency conversion, handling of NULLs and duplicates, rejected-record logs, incremental loads that pick up only new changes and reconciliation of totals between source and target.
Both are temporary pieces of code used in integration testing when some modules are not ready. A stub replaces a called lower-level module and returns fixed responses, used in top-down testing; for example, a stub payment service that always returns success. A driver replaces a calling higher-level module and sends inputs to the module under test, used in bottom-up testing. In API testing, mock servers play the role of stubs.
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.
12
Write a simple Playwright test in TypeScript that logs in and checks the dashboard heading.
Check that buttons and icons are large enough to tap without hitting neighbours: Android guidance is 48 by 48 dp and iOS is 44 by 44 points. Test with large font settings and one-handed use. Any action using complex gestures, such as swipe to delete or pinch, must have a simple tap alternative. Then turn on TalkBack and VoiceOver and confirm each control can be focused, named and activated.
15
Tell me about a time you worked with developers to make an application easier to automate.
Situation: our UI scripts broke almost every sprint because of generated IDs and CSS class changes. Task: as the QA lead I needed stable tests. Action: I showed developers the failure history, proposed adding data-testid attributes and accessible labels to key components and added a short checklist to the pull request template. Result: within two sprints locator-related failures dropped by most of the previous level and maintenance time fell sharply.
A deep link opens a specific screen inside the app from a URL, email, SMS, QR code or notification. Test that each link opens the correct screen with the right data when the app is installed, closed or running in background. If the app is not installed, it should open the store page or a web fallback. Test links that need login, expired or invalid links, and that parameters cannot be tampered with to access other users' data.
Clickjacking tricks a user into clicking something on your site while it is hidden inside a frame on an attacker's page, for example a hidden Transfer button under a fake Play button. A tester checks whether sensitive pages can be loaded in an iframe on another site, and inspects response headers for Content-Security-Policy frame-ancestors or X-Frame-Options set to DENY or SAMEORIGIN. If the page loads in the frame, log it.
20
Release is tomorrow and you can't test everything. What now?
Risk-based testing: cover critical user flows, recent changes and high-defect areas first. Clearly communicate the untested risks and get stakeholder sign-off.
21
What is a performance bottleneck and where do bottlenecks usually occur?
A bottleneck is the component that limits the whole system's performance, so adding load beyond it increases response times or errors. Common places are slow database queries or missing indexes, too few database connections or threads, CPU or memory limits on servers, slow third-party APIs, large uncompressed files and chatty code that makes many small calls. Monitoring each layer during a test shows which resource saturates first.
22
How do you test battery and memory usage of a mobile app?
Run typical user sessions on a real device and measure battery drain, CPU and memory with platform profiling tools or the device's battery statistics. Compare with the previous version. Look for background work continuing after the app is closed, GPS left on, frequent network polling and memory that keeps growing, which signals a leak. Test on low-RAM devices too, where the OS kills heavy apps quickly.
23
SQL: check that no user has more than one active subscription.
-- Business rule: at most one ACTIVE subscription per user
SELECT user_id, COUNT(*) AS active_count
FROM subscriptions
WHERE status = 'ACTIVE'
GROUP BY user_id
HAVING COUNT(*) > 1;
-- Expected result: no rows
A flaky test passes and fails on the same code without any change. Common causes are timing problems such as fixed sleeps or missing waits, tests depending on each other or on shared data, unstable locators, animations, third-party services, test order in parallel runs and environment issues like slow servers. Flaky tests destroy trust in the suite, so teams quarantine them, find the root cause and fix it rather than adding retries forever.
25
How do you plan regression testing for a monthly release?
Keep a tiered regression suite: a smoke set for every build, a core set of critical flows for every release and a full set run on a rotation or before major releases. Each month, add impact-based tests from the release changes and cases for recent production bugs. Automate stable, repeated cases and keep manual effort for new or changing areas. Schedule regression early enough to fix and retest found issues.
26
Tell me about a time you mentored a junior tester.
Model answer: Situation: a new fresher on my team was writing very long, unclear bug reports. Task: help her improve quickly. Action: I reviewed five of her bugs with her, showed a simple template, paired with her on two exploratory sessions and gave weekly feedback. Result: within a month developers stopped asking her for clarification, and she later found and reported a major session bug on her own.
27
Describe a time you missed a bug that reached production.
Model answer: Situation: a discount was applied twice when users pressed the pay button quickly. Task: I had tested the feature and missed it. Action: I owned it in the retrospective, helped reproduce and verify the fix, and added double-click and slow network cases to our checklist for all payment buttons. Result: similar issues were caught in later sprints, and I learned to always test repeated actions.
28
A monthly report query runs on millions of rows and takes minutes. How do you test and report its performance?
Test on a database with production-like volume, not a small QA dataset. Measure the run time several times and note the filters used. Ask for or run the execution plan to see whether it does full table scans or uses indexes. Compare with the agreed target, such as under five seconds. Report the query, data volume, timings and plan, and retest after fixes such as indexes, date filters or summary tables.
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.
31
What is the difference between ad hoc testing and monkey testing?
Ad hoc testing is informal testing without test cases, done by a tester who understands the application and tries likely weak areas based on experience. Monkey testing gives random inputs and actions, often without knowing the application, to see if it crashes. Ad hoc testing is targeted and good at finding logical bugs, while monkey testing is good at finding stability issues and is often automated.
32
What is heuristic evaluation and how is it different from a usability test with users?
Heuristic evaluation is an expert review where a few evaluators inspect the interface against known usability principles, such as Nielsen's ten heuristics, and list problems with severity. It is fast and cheap and needs no participants. A usability test watches real users perform tasks and shows where they actually struggle. Heuristic reviews find many obvious issues early, but they can miss problems that only real users with real goals reveal.
Data mapping testing checks that each field on a screen, file or API goes to the correct table and column with the correct format. For example, the Date of Birth field on the signup form must land in users.dob as a date, and the State dropdown must store the state code, not the label. Testers use a mapping document, enter known values in the UI or API and query the database to compare field by field.
34
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.
Check that each requirement is clear, complete, consistent and testable. Look for vague words like fast or user-friendly, missing error handling, undefined limits, conflicting rules and missing roles or states. For each requirement ask how you would test it and what the expected result is. Record questions in a review log and get answers from the business analyst before writing test cases, so ambiguity does not turn into defects later.
38
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.
A latent defect exists in the software but has not caused a failure yet because the needed conditions have not occurred, such as a leap-year bug that appears only on 29 February. A masked defect is hidden by another defect, for example a broken discount calculation you cannot reach because the cart page crashes first. After the first bug is fixed, the masked one appears, which is one reason regression and retesting matter.
Tips to crack the Siemens Software Testing interview
Learn basics of industrial automation, PLCs and IoT, which connect to many Siemens software and testing roles.
Read about Siemens Xcelerator and digital twin concepts used in its industrial software.
Revise C++, Java or Python and testing fundamentals depending on the team you are applying to.
Keep a one-minute story ready for every project on your CV: problem, your part, tools, result.
Practise the hard questions on this page aloud; Siemens interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Siemens Software Testing interview?
Candidates usually go through 5 stages: Online assessment (aptitude + technical); Technical round 1; Technical round 2; Managerial round; HR round. The exact rounds change with the role, team, location and your experience, so confirm the process with the recruiter.
Which topics should I prepare for the Siemens Software Testing interview?
This practice set leans on Bug Life Cycle and Jira (5), Accessibility & Usability Testing (5), Database Testing (5), Automation Basics for Manual Testers (4). Revise those first, then practise explaining one or two of your own projects end to end, because most Siemens interviewers ask you to walk through real work.
Are these the exact questions asked at Siemens?
No. These are curated practice questions that match the skills and difficulty usually tested in hardware & semiconductors interviews like Siemens's. They are not a leaked or verified list of past questions.
Where does Siemens hire Software Testing professionals in India?
Siemens has large teams in Mumbai, Bengaluru, Pune. Openings and locations change often, so check the Siemens careers page and filter by city and experience.