A team is creating an MBT model for a system with complex business rules. They need to achieve high coverage of these rules. The team is debating whether to embed test data directly in the model or keep it external. What is the best approach?

Embed test data directly in the model to ensure it is always synchronized with the model.

Keep test data external and link it to the model through parameters and coverage criteria.

Use a single test case with all possible data values to avoid multiple test cases.

Create a separate model for test data and do not link it to the main model.

A team is creating an MBT model for a system where the testing goal is to verify user interface flows. The stakeholders are mostly business analysts who need to understand the model. What level of abstraction should they use?

High-level abstraction focusing on user actions and screens.

No abstraction; model every possible UI interaction in detail.

Low-level abstraction including all technical details like database queries.

Medium-level abstraction including some technical details.

Why is traceability between model elements and requirements important in MBT?

It makes the model more visually appealing to stakeholders.

It automatically generates test cases without any additional configuration.

It reduces the need for model reviews.

It helps ensure that the model covers all relevant requirements and supports impact analysis when requirements change.

A team has completed an MBT model for a healthcare system. Before generating tests, they want to ensure the model is correct, complete, and fit for purpose. What is the most effective way to achieve this?

Ask a single developer to check the model for errors.

Generate tests immediately and fix any issues found during test execution.

Conduct a structured review of the model with stakeholders, checking against requirements and guidelines.

Compare the model to a similar model from another project.

What is the primary benefit of organizing an MBT model into packages or layers?

It helps manage complexity by grouping related elements, making the model easier to navigate and maintain.

It reduces the need for naming conventions within the model.

It guarantees that the model will have no errors or ambiguities.

It automatically increases the test coverage of the generated test cases.

Certified Tester Model-Based Testing

Domain 2Objective 7

Modeling Guidelines for MBT CT-MBT Practice Questions (Page 4)

Part of the MBT Modeling domain, which makes up ~27% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~7–11 in this domain), expect 1–1 from this objective — we provide 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

9concepts

Questions 16–20

16expert · hard
A team is creating an MBT model for a system with complex business rules. They need to achieve high coverage of these rules. The team is debating whether to embed test data directly in the model or keep it external. What is the best approach?
Select an answer first
17application · medium
A team is creating an MBT model for a system where the testing goal is to verify user interface flows. The stakeholders are mostly business analysts who need to understand the model. What level of abstraction should they use?
Select an answer first
18foundation · easy
Why is traceability between model elements and requirements important in MBT?
Select an answer first
19application · medium
A team has completed an MBT model for a healthcare system. Before generating tests, they want to ensure the model is correct, complete, and fit for purpose. What is the most effective way to achieve this?
Select an answer first
20foundation · easy
What is the primary benefit of organizing an MBT model into packages or layers?
Select an answer first

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