It's 11pm. Your SDET interview is tomorrow morning. You've nailed down your Playwright locator strategies. You can discuss fixture scoping and CI/CD pipelines without breaking a sweat. Then you remember the job description had that line buried halfway down: "Experience with API testing — REST, Postman, contract testing."

Your stomach tightens. You've written API tests before — a few fetch() calls in a test script, maybe poked around in Postman. But you've never been interviewed on it. You don't know whether they'll ask about REST vs SOAP, HTTP status codes, authentication flows, or something called "contract testing" that you've only seen mentioned in blog posts.

This guide is for that moment. API testing comes up in nearly every SDET interview — and if you can't speak to it with confidence, you're leaving the door open for a candidate who can. Built from 20 years of sitting on both sides of the SDET interview table — at HMRC, the Ministry of Defence, Nationwide, and Accenture — this guide covers exactly what interviewers ask about API testing, the questions that trip up candidates who've only tested UIs, and how SDET Interview Coach prepares you for the API testing round so you walk in ready — even if API testing isn't your primary stack.

Why API Testing Questions Are Gatekeeping SDET Jobs in 2026

Three years ago, many SDET interviews were satisfied with "I've used Postman to test endpoints." In 2026, that answer doesn't clear the phone screen. Here's what's changed:

  • Microservices made API testing non-negotiable. When your application is 50 services talking to each other, the test surface isn't the UI — it's the contracts between those services. In panels at Nationwide and Accenture, Mitchell has watched interviewers shift from "Do you test APIs?" to "How do you test the API contracts between services?" The distinction matters.
  • Playwright blurred the line between UI and API testing. Playwright's built-in request context means interviewers now expect SDETs to discuss API testing within the same framework they use for browser automation. If you can't explain when to use page.request vs request.newContext(), you're missing a capability half your competition has.
  • Contract testing went from niche to mainstream. Pact, Spring Cloud Contract, and schema validation are appearing in job descriptions that didn't mention them a year ago. Organisations with distributed architectures need SDETs who understand that testing APIs in isolation isn't enough — you need to verify that services agree on the shape of their communication.

The API testing round isn't a pop quiz. It's a window into whether you understand testing at the integration layer — and in 2026, that's where most production bugs originate.

The 7 Categories Every API Testing Interview Covers

In panels Mitchell has conducted and observed across government and enterprise, API testing questions cluster into seven categories. You won't get asked all seven — but you'll get asked at least three. Master them all and you can handle any API testing curveball.

1. REST vs SOAP — The Fundamentals

"What's the difference between REST and SOAP?" This is the opener. Strong candidates explain that REST is an architectural style using standard HTTP methods, multiple data formats (JSON, XML), and is stateless. SOAP is a protocol with strict XML messaging, built-in error handling, and WS-Security. The follow-up asks when you'd choose SOAP over REST — the answer is industries with strict transactional requirements like banking and payments, where SOAP's ACID compliance and formal contract (WSDL) matter.

2. HTTP Methods & Idempotency

"Which HTTP methods are idempotent, and why does it matter for testing?" Most candidates can list GET, PUT, DELETE as idempotent and POST as non-idempotent. Few can explain why it matters for test design: idempotent requests can be retried safely in CI without side effects, while non-idempotent POST requests require data cleanup or unique identifiers to prevent duplicate resource creation. This is the question that separates candidates who've tested APIs at scale from those who've only hit endpoints locally.

3. HTTP Status Codes — Beyond 200 and 404

"Walk me through the HTTP status code families and what a tester should validate for each." The answer tests breadth: 2xx (success — validate response body structure), 3xx (redirection — validate Location header and that the redirect target is correct), 4xx (client error — validate error message format, that the server doesn't leak stack traces, and that the right code is used: 400 vs 401 vs 403 vs 422), 5xx (server error — validate the API degrades gracefully, doesn't crash, and returns a consistent error contract). The trap is forgetting 429 (rate limiting) and how to test it.

4. Authentication & Authorisation

"How would you test an API that uses OAuth 2.0?" Authentication testing is where many candidates stumble because they've only worked with APIs that used hard-coded tokens. A strong answer covers: testing with valid and expired tokens (what status code do you expect?), testing with insufficient scopes (403 vs 401), testing token refresh flows, and how to handle auth in automated test suites — using pre-authenticated contexts, token caching, or environment-specific credentials. Discuss Basic Auth, API keys, JWT structure and validation, and OAuth 2.0 grant types.

5. Postman & Newman — The Tooling Layer

"How do you organise a Postman collection for a microservices application?" Interviewers use Postman questions to test whether you think about API testing as an engineering system. A strong answer discusses: collection structure (grouped by service or by workflow), environment variables for different stages, pre-request scripts for dynamic auth token generation, test scripts for response validation, and running collections in CI with Newman. Bonus: mention Postman's data-driven testing with external CSV/JSON data files via the Collection Runner or Newman's -d flag.

6. API Chaining & Data-Driven Testing

"Write a test that creates a user, logs in, and retrieves a protected resource." This is the practical coding question. You're testing API chaining — extracting data from one response (user ID, auth token) and using it in subsequent requests. Strong candidates also discuss data-driven approaches: running the same test scenario with multiple data sets (different user roles, different resource types), parameterising requests from external data files, and handling dependencies between chained requests when one fails mid-chain.

7. Schema Validation & Contract Testing

"How do you verify that an API response hasn't changed its structure?" This is where the seniors pull ahead. Mention JSON Schema validation (using libraries like Ajv or Chai JSON Schema) to verify response structure, types, required fields, and formats. Then introduce contract testing: Pact tests verify that the consumer's expectations match the provider's actual responses, catching breaking changes before they reach integration. The candidate who can articulate the consumer-driven contract workflow — consumer defines expectations → generates a contract file → provider verifies against the contract → CI fails on mismatch — demonstrates architectural maturity.

REST vs SOAP — The Question Every Panel Asks, and Most Candidates Answer Wrong

"What's the difference between REST and SOAP?" sounds like a softball. It isn't. Here's what interviewers at senior level are actually listening for:

🏗️

REST Is an Architectural Style, Not a Protocol

The distinction matters. REST (Representational State Transfer) is a set of constraints — client-server separation, statelessness, cacheability, uniform interface, layered system. SOAP (Simple Object Access Protocol) is a formal protocol with strict rules about message format, error handling, and security. A candidate who says "REST is a protocol" has told the interviewer they've memorised definitions without understanding them. The stronger answer: "REST is a style that uses HTTP as the application protocol. You can violate REST constraints and still have a working API — many so-called REST APIs don't fully implement HATEOAS. SOAP doesn't give you that flexibility, which is both its strength (guaranteed contract) and its weakness (heavier, slower to evolve)."

📐

When SOAP Still Wins — The Decision Framework

In 2026, asking "Why would anyone still use SOAP?" signals you understand the landscape. SOAP dominates in: financial services (bank transfers, payment processing — where transactional integrity is non-negotiable), enterprise resource planning, healthcare (HL7, FHIR often wrap SOAP), and any domain where WS-Security (message-level encryption, digital signatures) is a compliance requirement. The interviewer isn't testing whether you prefer REST — they're testing whether you understand that technology choices are contextual, and that "REST is better" is an opinion, not an engineering decision.

⚠️

The Testing Implications Nobody Discusses

REST APIs are typically tested with JSON payloads, HTTP status codes, and standard auth mechanisms — tools like Postman, Playwright's API testing, and Supertest work out of the box. SOAP requires XML payload construction, WSDL parsing for endpoint discovery, and SOAP-specific tools like SoapUI. The testing complexity is higher — XML namespaces, SOAP envelope structure, and SOAP faults (which don't map cleanly to HTTP status codes) add layers of complexity. A candidate who can discuss this testing complexity differential demonstrates they've actually tested both, not just read about them.

HTTP Status Codes — The Hidden Interview Trap

Every candidate knows 200, 404, and 500. The interview doesn't start until you go beyond those. Here's what panels probe and why:

2xx: Success Isn't Just 200

201 Created — the response to a successful POST that creates a resource. Should include a Location header pointing to the new resource. Test that the header is present and valid. 204 No Content — successful DELETE or PUT that returns no body. Test that the body is empty and that subsequent GET to that resource returns 404. 202 Accepted — the request is queued for async processing. Your test needs to handle polling or webhook callbacks, not just check the immediate 202 response.

4xx: Client Errors — The Subtle Distinctions

400 vs 422: 400 means "your request is malformed — I can't parse it." 422 (Unprocessable Entity) means "I understand your request, but it fails business logic validation." Most APIs get this wrong — and your tests should catch it. 401 vs 403: 401 means "you haven't authenticated — who are you?" 403 means "you're authenticated, but you don't have permission." Testing the distinction verifies your auth layer is correctly implemented. 429 Too Many Requests: test rate limiting headers (Retry-After, X-RateLimit-Remaining) and that the API resumes after the window expires.

5xx: What Your Tests Should Catch

The critical test isn't that 500 returns when the server crashes — it's that the error response doesn't leak information. Stack traces in production error responses are a security vulnerability. Test that 5xx responses return a sanitised error contract: a stable error object with code and message fields, no file paths, no SQL queries, no internal IP addresses. Also test 503 Service Unavailable with retry logic — does your API consumer handle temporary outages gracefully, or does it fail permanently on the first 503?

Authentication — The API Testing Round Where Candidates Freeze

In Mitchell's experience across interview panels at HMRC and the MoD, authentication questions expose the gap between "I've tested APIs" and "I understand API security." Here's what they're probing:

🔑

API Keys — Simple but Dangerous

API keys are the simplest mechanism: a static string sent in a header (X-API-Key) or query parameter. Testing API keys means verifying: rejected requests with missing keys (401), rejected requests with invalid keys (401), and that keys work consistently across endpoints they should authorise. The advanced answer discusses key rotation: how do you test that rotated keys work while old keys don't, without hard-coding keys in your test suite?

🔐

OAuth 2.0 — The Flow Every SDET Should Know

OAuth 2.0 is the most common auth mechanism in enterprise APIs. A strong candidate can walk through the client credentials flow: request a token from the /token endpoint with client_id and client_secret, receive an access_token (and optionally a refresh_token), use the access token in the Authorization: Bearer header. Testing OAuth means: verifing token expiry (the API returns 401, your test refreshes the token and retries), testing scope restrictions (does a token with read scope get rejected on a write endpoint?), and handling the token refresh flow automatically in your test framework via a shared auth fixture.

🎫

JWT — Structure, Validation, and Common Pitfalls

JSON Web Tokens appear in nearly every modern API. A strong interview answer covers: JWT structure (header.payload.signature — three Base64-encoded sections separated by dots), what you should validate (issuer, audience, expiration, signature — and importantly, the nbf / not-before claim), and common testing scenarios. Test that an expired JWT returns 401 (not 500), that a tampered payload (signature mismatch) is rejected, that a JWT signed with the wrong algorithm (e.g., HS256 when the server expects RS256) is rejected, and that token refresh works end-to-end. For automated testing: generate JWTs programmatically in your test framework rather than copying static tokens from a developer's machine.

🛡️

Basic Auth — The Legacy Pattern You Still Need to Know

Basic Authentication (Authorization: Basic base64(username:password)) is still everywhere in legacy systems. Testing Basic Auth means verifying: that credentials are transmitted over HTTPS (reject HTTP requests), that incorrect credentials return 401 with WWW-Authenticate header, and that encoded credentials aren't logged or exposed in error messages. The advanced consideration: how do you handle Basic Auth credentials in CI — environment variables in your CI platform, never committed to the repository, rotated on a schedule.

API Testing Code Examples — What Interviewers Expect You to Write

In many SDET interviews, you'll be asked to write an API test — either on a whiteboard, in a shared editor, or by explaining your approach. Here are the patterns that score well:

Playwright API Testing — The 2026 Standard

Playwright's built-in APIRequestContext is now the expected answer for API testing in a Playwright shop. Here's what a strong candidate writes:

import { test, expect } from '@playwright/test';

test.describe('User API', () => {
  let authToken: string;

  test.beforeAll(async ({ request }) => {
    // Authenticate and store the token for all tests
    const authResponse = await request.post('/auth/login', {
      data: { username: 'testuser', password: 'testpass' }
    });
    expect(authResponse.status()).toBe(200);
    const body = await authResponse.json();
    authToken = body.access_token;
  });

  test('GET /users returns paginated user list', async ({ request }) => {
    const response = await request.get('/users', {
      headers: { Authorization: `Bearer ${authToken}` },
      params: { page: 1, limit: 10 }
    });

    expect(response.status()).toBe(200);

    const body = await response.json();
    // Schema validation on response structure
    expect(body).toHaveProperty('data');
    expect(body).toHaveProperty('pagination');
    expect(Array.isArray(body.data)).toBeTruthy();
    expect(body.data.length).toBeLessThanOrEqual(10);
    expect(body.pagination).toMatchObject({
      page: 1,
      limit: 10,
      total: expect.any(Number)
    });
  });

  test('POST /users creates a user and returns 201', async ({ request }) => {
    const newUser = {
      name: 'Jane Smith',
      email: `jane-${Date.now()}`@example.com,
      role: 'editor'
    };

    const response = await request.post('/users', {
      headers: { Authorization: `Bearer ${authToken}` },
      data: newUser
    });

    expect(response.status()).toBe(201);
    expect(response.headers()['location']).toBeDefined();

    const body = await response.json();
    expect(body.name).toBe('Jane Smith');
    expect(body.id).toBeDefined();
  });

  test('GET /users/:id with invalid token returns 401', async ({ request }) => {
    const response = await request.get('/users/123', {
      headers: { Authorization: 'Bearer invalid_token' }
    });
    expect(response.status()).toBe(401);
  });
});

Notice what this code demonstrates: authToken is scoped at the describe level and set in beforeAll (no per-test auth calls), data uniqueness is handled with Date.now() (no hard-coded test data), schema validation is performed on response structure, status code validation covers 200, 201, and 401, and negative testing (invalid token) is included alongside happy-path tests. This is the pattern that signals a senior-level API tester.

Supertest + Jest — The Node.js Approach

If your target company uses Node.js backends, expect Supertest questions:

import request from 'supertest';
import app from '../app';

describe('Products API', () => {
  let server: any;
  let productId: string;

  beforeAll(async () => {
    server = app.listen(0);
  });

  afterAll(() => server.close());

  it('should create a product and return 201', async () => {
    const res = await request(server)
      .post('/api/products')
      .set('Authorization', `Bearer ${process.env.TEST_TOKEN}`)
      .send({ name: 'Widget', price: 9.99, category: 'tools' })
      .expect(201);

    expect(res.body).toMatchObject({
      id: expect.any(String),
      name: 'Widget',
      price: 9.99
    });
    productId = res.body.id;
  });

  it('should reject duplicate product names with 409', async () => {
    await request(server)
      .post('/api/products')
      .set('Authorization', `Bearer ${process.env.TEST_TOKEN}`)
      .send({ name: 'Widget', price: 9.99, category: 'tools' })
      .expect(409)
      .expect(res => {
        expect(res.body.error).toBe('DUPLICATE_PRODUCT');
      });
  });

  it('should reject invalid price with 422', async () => {
    await request(server)
      .post('/api/products')
      .set('Authorization', `Bearer ${process.env.TEST_TOKEN}`)
      .send({ name: 'Gadget', price: -5, category: 'tools' })
      .expect(422)
      .expect(res => {
        expect(res.body.errors).toContainEqual(
          expect.objectContaining({ field: 'price' })
        );
      });
  });
});

The key signals here: server lifecycle management (start/stop in hooks), auth via environment variables (no hard-coded tokens), business logic testing (duplicate products return 409, not 500), validation testing (negative prices return 422 with structured errors), and test chaining (the created product ID is reused without a hard-coded value).

5 API Testing Interview Traps That Cost Candidates Offers

These are the moments where interviewers stop taking notes and start waiting. They separate candidates who've tested APIs in production from those who've only explored them in Postman.

⚠️

Trap #1: "I just check the status code and move on."

A status code tells you the request was processed, not that it was processed correctly. A 200 that returns an empty array when it should return 10 items is a bug. A 201 that creates a resource but doesn't return the resource ID is a broken contract. API testing means validating: status code, response headers (Content-Type, Location, CORS, rate-limit headers), response body structure (schema), response body values (data correctness), response time (performance SLAs), and — for critical endpoints — that the side effects actually happened (did the user actually get created in the database?). Strong candidates test all six, not just the status code.

⚠️

Trap #2: "I test APIs manually in Postman — automation isn't needed."

Manual Postman testing catches bugs once. Automated API tests catch regressions every time someone pushes code. The correct answer: "I use Postman during development and exploration — it's excellent for rapid prototyping and debugging. But for regression testing, I automate API tests in the test framework — using Playwright's APIRequestContext, Supertest, or Newman in CI. Manual Postman is discovery. Automated API tests are safety." Bonus: mention exporting Postman collections to run in CI with Newman, bridging the explorative and automated worlds.

⚠️

Trap #3: "I test the happy path — error cases are edge cases."

Error cases aren't edge cases — they're the paths your users hit when things go wrong, and they're where security vulnerabilities live. Interviewers want to hear: "I test the happy path for correctness and the error paths for resilience. I verify that 401 responses don't leak information about whether a resource exists, that 500 responses don't include stack traces, that 422 responses have consistent error structures, and that rate limiting (429) works correctly with proper Retry-After headers. Error handling is where APIs expose their quality — or their lack of it."

⚠️

Trap #4: "My API tests are independent — they don't share state."

This is either naive or dishonest. Real API testing inevitably involves state — you create a user before testing user endpoints, you authenticate before testing protected resources. The question isn't whether state is shared, it's how you manage it. A strong answer: "My tests are logically independent — each test can run in isolation — but they share setup through hooks and fixtures. I use unique identifiers (timestamps, UUIDs) for created resources so tests don't collide. I use beforeAll for one-time setup (auth tokens) and beforeEach for per-test state. And I design tests so that test B doesn't assume test A ran — if test B needs a user, it either creates one or uses a fixture that guarantees one exists."

⚠️

Trap #5: "Contract testing is just schema validation with extra steps."

This answer signals you've never done contract testing. Schema validation checks that a response matches a shape. Contract testing checks that a consumer's expectations match the provider's actual responses — and it's driven by the consumer, not the provider. The workflow is: the consumer team writes a Pact test defining what they expect from the provider, Pact generates a contract file, the provider team runs that contract against their actual API, and if anything the consumer relies on is missing or changed, the build fails before the change reaches integration. Schema validation is a tool. Contract testing is a collaboration pattern between teams. Knowing the difference signals you've operated in a microservices environment, not just tested APIs in isolation.

Schema Validation & Contract Testing — The Senior-Level Differentiator

If you're interviewing for a senior SDET or lead role, this is the section of the API testing round where the interviewer decides whether you're mid-level or senior. Here's what they're listening for:

📋

JSON Schema Validation — What to Validate

A strong schema validation strategy validates more than types. It validates: required fields are present, field types are correct (string, number, boolean, array, object), string formats are valid (email, date-time, URI), numeric constraints (minimum, maximum, multipleOf), array constraints (minItems, maxItems, uniqueItems), enum values (status must be one of ['active', 'inactive', 'suspended']), and nested object structures. Tools like Ajv (JavaScript), Chai JSON Schema, or built-in Playwright expect().toMatchSchema() make this programmatic. The key interview signal: you don't validate everything — you validate the fields your consumer actually depends on. Over-validation creates brittle tests that break on harmless additions.

🤝

Consumer-Driven Contract Testing with Pact

In a microservices architecture, Service A (consumer) calls Service B (provider). If Service B changes its API, Service A breaks. Contract testing catches this at build time. The workflow: the consumer team writes a Pact interaction specifying "when I call GET /users/123, I expect { id: '123', name: '...', email: '...' }." Pact spins up a mock provider, the consumer test runs against it, and Pact generates a contract file. The provider team runs pact:verify against their real API — if the response doesn't match the contract, the build fails. The candidate who can walk through this flow, discuss where contract files are stored (Pact Broker), and explain the difference between provider states ("given a user with id 123 exists") and test fixtures demonstrates they've implemented contract testing, not just read about it.

🔄

Contract Testing vs Integration Testing — The Tradeoff

Integration tests verify that two real services work together. They're expensive, slow, and fragile. Contract tests verify that each service's expectations and responses align — in isolation, using mocks and stubs. The tradeoff: contract tests are fast, reliable, and catch breaking changes early, but they don't test real network conditions, auth handshakes, or database interactions. The ideal pipeline: contract tests in the PR build (fast, catches contract breaks immediately), integration tests in the staging environment (slower, catches real-world integration issues). A senior candidate can articulate this tiered strategy and explain why you need both.

What a Real API Testing Interview Round Looks Like — Timed Breakdown

Drawing from panels Mitchell has conducted at HMRC, Nationwide, and Accenture, here's how API testing questions typically appear in a 60-minute SDET interview:

0–10 min

Experience Probe

"Tell us about an API testing project you've worked on." They're listening for: did you test APIs in isolation, or as part of a broader testing strategy? Did you integrate API tests into CI/CD? Did you handle authentication programmatically, or copy-paste tokens from Postman? Be specific about what you built — the framework, the patterns, the automation — not what your team did collectively.

10–25 min

Technical Deep-Dive

Expect questions on REST fundamentals, HTTP methods and status codes, authentication mechanisms, and tooling (Postman, Newman, Supertest, Playwright API testing). You may be asked to whiteboard an API test for a given scenario: "Write a test that creates an order, adds items, and verifies the total." Focus on test structure, data flow between requests, status code validation at each step, and error handling when a chained request fails.

25–40 min

Architecture & Scaling

"How would you set up API testing for an organisation with 30 microservices?" This is where you discuss: organising tests by service or by workflow, handling cross-service dependencies, contract testing between services, managing shared test data across services, and CI/CD pipeline design for fast feedback. Mention contract testing with Pact and schema validation as tools for scaling API quality across teams.

40–50 min

Behavioural & Problem-Solving

STAR-format questions about API-specific challenges: debugging a flaky API test that passes locally but fails in CI, handling a breaking API change from an upstream team, convincing developers to write contract tests, managing API credentials securely in CI/CD pipelines. This is where interviewers probe your operational experience with API testing.

50–60 min

Your Questions

Ask about their API architecture: "How many services do you have? How do teams manage API versioning? Do you use contract testing? What's your biggest API testing pain point?" Questions that probe their current API testing challenges show you're thinking about solving their problems, not just answering their questions.

Why API Testing Expertise Is the Fastest-Growing Premium in SDET Salaries

If you're thinking "I'll just focus on UI testing — that's what most SDET roles want," here's the reality: API testing is no longer a nice-to-have. It's the layer where most production incidents originate, and it's the layer where SDETs who can test both UI and API command a premium.

In recent panels at Accenture, Mitchell has watched compensation bands for SDETs who can design API testing strategies stretch 10–20% above UI-only roles. The reason is structural: microservices architectures mean the integration surface is overwhelmingly API-based. If you can only test through the browser, you're testing the outermost layer of an application with 50 internal services you never touch. That's a coverage gap no amount of UI testing can close.

More importantly, API testing expertise signals something interviewers care about deeply: you understand that testing happens at multiple layers, and you can architect a testing strategy that covers all of them. That's not an API testing skill — it's an architectural mindset. And it's what separates senior SDETs from mid-level testers.

How to Prepare for Your API Testing Interview — Starting Tonight

You don't need to have tested 50 microservices to pass an API testing interview. You need to understand the seven categories, be able to articulate API testing concepts clearly, and — most importantly — demonstrate that you can think about API testing as an engineering system, not a collection of Postman requests. Here's the 3-step plan:

  1. Download SDET Interview Coach and complete the 2-minute onboarding assessment. Select your target stack and seniority level. The app surfaces API testing questions calibrated to your experience — Junior candidates get REST fundamentals and status code questions, while Lead candidates face contract testing strategy and cross-service test architecture discussions. The 800+ question bank includes dedicated API testing topics with model answers, code examples, and interviewer follow-up questions.
  2. Run an API testing mock interview today. Pick your target stack, set a 30-minute timer, and answer the questions out loud. The AI feedback scores you on technical accuracy, completeness, communication, and code quality — showing you exactly where your API testing knowledge gaps are before the real interview exposes them.
  3. Use Job Match for your target role. If the job description mentions "API testing," "REST," "Postman," "contract testing," or "microservices," paste it into Job Match. You'll get 50 questions tailored to that exact role's API testing expectations — no guessing whether they'll ask about OAuth flows, status code validation, or Pact contract testing.

The candidates who prepare for API testing questions now are the ones who'll walk into interviews with a skill that most of their competition treats as an afterthought. API testing isn't a separate discipline from SDET work — it's the integration layer that connects everything else. Master it, and you're not just a tester who can code. You're an engineer who understands how systems talk to each other.

If you're preparing for a broader SDET interview, see our guide on Playwright Interview Questions 2026 for web automation coverage, our deep-dive on Test Automation Framework Design for the system-design round, and our guide on transitioning from manual QA to SDET if you're making the career change. For mobile testing coverage, see our guide on Mobile Test Automation Interview Questions.

Ready to Transform Your Testing?

The AI Test Automation Playbook gives you everything you need: Playwright setup, Claude AI integration, MCP deep dive, 10+ ready-to-use prompts, CI/CD pipeline setup, and a 30-day implementation roadmap.

✅ Playwright + TypeScript✅ Claude AI Prompts✅ MCP Deep Dive✅ CI/CD with GitHub Actions✅ 30-Day Roadmap✅ Page Object Patterns
Get the AI Test Automation Playbook$49.99

By Mitchell Agoma, Senior SDET & AI Testing Specialist with 8+ years of experience