Smoke Testing

A quick, minimal set of checks run after a build to verify that the product's critical features operate correctly before investing in deeper testing.

Key Points

  • Fast, shallow verification focused on essential workflows and services.
  • Used to decide if a build is stable enough for further testing or review.
  • Typically automated and executed on every build or deployment.
  • Not a full regression test; it targets only the most vital functions.

Example

After completing a sprint build, the team runs an automated smoke suite that checks user login, basic navigation, and saving a record. If any check fails, they fix the build before starting detailed regression and exploratory testing.

PMP Example Question

Right after a new build is produced, the team executes a small set of automated checks to confirm login, key navigation, and order submission work before launching full test cycles. What practice is the team performing?

  1. Smoke testing
  2. System integration testing
  3. User acceptance testing
  4. Exploratory testing

Correct Answer: A — Smoke testing

Explanation: A smoke test is a lightweight set of checks on the most critical functionality to ensure the build is stable enough for deeper testing.

AI for Agile Project Managers and Scrum Masters

Become an AI-first leader and transform your agile practice by leveraging artificial intelligence as your most powerful co-pilot. This course is designed to help you drive efficiency, insight, and innovation, ensuring you stay at the forefront of a rapidly evolving project management landscape.

This isn't about replacing human intuition—it's about augmenting it. You'll master prompt engineering to automate mundane tasks, freeing up your time for high-impact strategic leadership and creative problem-solving. Learn to refine backlogs, create strategic roadmaps, and integrate AI seamlessly into your agile ceremonies.

Gain predictive power by using AI-driven insights to anticipate project risks and seize new opportunities for more reliable outcomes. We deliver practical, prompt-based workflows and proven strategies built around real-world agile challenges that you can implement immediately within your framework.

Master foundational AI concepts specifically relevant to Scrum environments while developing advanced skills to handle diverse agile scenarios. You will learn to champion an AI-enabled culture within your organization, fostering a dynamic environment of continuous improvement and superior team delivery.

Learn alongside professionals around the world working in project leadership and delivery.

Explore the Course


Stop Managing Admin. Start Leading the Future!

HK School of Management helps you learn AI prompt engineering for project work. Move beyond status reports and risk logs with practical prompt frameworks for everyday tasks. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

Enroll Now