Here’s Section 3: Automation Framework & Programming & K8s for the demo interview. This section is designed for ~1 hour with 12 questions (theory + coding + scenario-based). Each question includes detailed sample answers.
✅ Section 3: Automation Framework & Programming & Kubernetes
Topic Goals
- Assess ability to design and maintain automation frameworks.
- Evaluate Python programming and debugging skills.
- Check understanding of CI/CD, container orchestration, and Kubernetes basics.
Q1. What are the key components of a robust automation framework?
Sample Answer:
- Modularity: Reusable components.
- Scalability: Easy to add new tests.
- Maintainability: Clear structure, minimal duplication.
- Reporting: Detailed logs and reports (e.g., Allure).
- CI/CD Integration: Jenkins, GitHub Actions.
- Environment Management: Docker/K8s for consistency.
Q2. Explain the Page Object Model (POM) and its benefits.
Sample Answer:
- POM: Design pattern where UI elements and actions are encapsulated in classes.
- Benefits:
- Reduces code duplication.
- Improves maintainability.
- Easier to update when UI changes.
Q3. How do you handle test data in automation?
Sample Answer:
- Use parameterization (e.g., pytest
@pytest.mark.parametrize). - Store in JSON/YAML/CSV files.
- Use fixtures for setup/teardown.
- For sensitive data: environment variables or secret managers.
Q4. Write a Python function to reverse a string without using built-in reverse functions.
Sample Answer:
def reverse_string(s: str) -> str:
return s[::-1]Alternative (loop-based):
def reverse_string(s: str) -> str:
result = ""
for char in s:
result = char + result
return resultQ5. How do you implement parallel test execution in Python?
Sample Answer:
-
Use pytest-xdist:
pytest -n 4 -
Or use multiprocessing module for custom parallelization.
Q6. Explain how you would integrate your automation framework with Jenkins.
Sample Answer:
- Create a Jenkins pipeline with stages:
- Checkout code
- Install dependencies
- Run tests (
pytest --junitxml=report.xml) - Publish reports
- Use Jenkins plugins: JUnit, Allure.
Q7. What is Kubernetes, and why is it useful for QA automation?
Sample Answer:
- Kubernetes: Container orchestration platform for deploying, scaling, and managing containers.
- Useful for QA:
- Consistent environments.
- Scalable test execution.
- Easy rollback and isolation.
Q8. How do you deploy a test environment on Kubernetes?
Sample Answer:
-
Create Deployment YAML for test services.
-
Use ConfigMaps and Secrets for configs.
-
Expose via Service.
-
Example:
apiVersion: apps/v1 kind: Deployment metadata: name: test-runner spec: replicas: 1 template: spec: containers: - name: runner image: my-test-image
Q9. How do you manage secrets in Kubernetes?
Sample Answer:
-
Use Kubernetes Secrets:
kubectl create secret generic db-secret --from-literal=password=pass123 -
Mount as environment variables or volumes.
Q10. Scenario: Your automation tests fail only in CI but pass locally. How do you debug?
Sample Answer:
- Check environment differences (OS, Python version).
- Validate dependencies (pip freeze).
- Check network/firewall issues in CI.
- Use Dockerized test environment for consistency.
Q11. Scenario: You need to run 500 tests in parallel across multiple nodes. How do you design the solution?
Sample Answer:
- Use pytest-xdist with
--dist=loadscope. - Use Kubernetes Jobs for distributed execution.
- Aggregate results in centralized reporting system (e.g., Allure server).
Q12. How do you monitor and debug failing pods in Kubernetes?
Sample Answer:
kubectl get pods→ check status.kubectl describe pod <name>→ detailed info.kubectl logs <pod>→ logs.- Use liveness/readiness probes for health checks.
✅ Time Allocation:
- Framework & CI/CD (Q1–Q3, Q6): ~20 mins
- Coding (Q4–Q5): ~10 mins
- Kubernetes (Q7–Q9): ~15 mins
- Scenarios (Q10–Q12): ~15 mins
👉 Do you want me to move on to Section 4: General / Problem Solving now, or should I add senior-level performance expectations for Section 3 before proceeding?