iSQI CTFL-AcT Exam With Confidence Using Practice Dumps

Traceability is a key principle in requirements and test management. It ensures that all features, requirements, and tests are linked and accounted for. Including traceability to user stories in BPMN diagrams or DMN tables supports transparency, auditability, and maintenance.

Option B is correct because embedding or referencing traceability information within business models improves communication across stakeholders, ensures proper test coverage, and helps during change impact analysis.

Let’s evaluate other options:

Option A is incorrect. Trying to place all model elements in one diagram can lead to cluttered and unreadable models.

Option C is misleading. While separation of concerns is useful, traceability (links to requirements, risks) should be integrated or closely accessible from the models.

Option D is incorrect. Acceptance testers should be involved early to collaborate and review models. Waiting until models are finalized contradicts agile and ATDD principles.

Answer: B. BPMN diagrams and DMN tables should include information such as traceability to user stories.

Clear, complete, and testable requirements or user stories are critical for effective acceptance testing. Ambiguities or vague statements lead to differing interpretations by stakeholders, developers, and testers. This often results in software that doesn’t meet user expectations or in tests that fail to verify business needs correctly.

Option B is correct because it highlights the importance of precise requirements in both implementation and testing phases. Ambiguities can result in incorrect behavior, untestable features, or test cases that don’t align with business goals.

Other options:

A is risky — while testers may explore assumptions during exploratory testing, relying on assumptions rather than clarification increases risk.

C is incorrect — the INVEST mnemonic helps write better user stories, but it doesn’t replace review or validation processes.

D is false — Agile still values requirements engineering; it’s more collaborative and incremental, with the product owner playing a key role, not diminishing its importance.

Answer: B. Vague or ambiguous requirements may lead to misunderstandings both during implementation and testing

Equivalence Partitioning (EP) is a black-box test design technique that divides input data into valid and invalid partitions, where each partition is expected to exhibit similar behavior. In the context of acceptance testing, EP is especially effective because it helps validate whether a system behaves correctly for representative input ranges defined in the acceptance criteria.

Acceptance testing aims to confirm that the system meets business requirements and handles inputs as expected. EP allows the tester to cover a large input space using fewer test cases while maintaining a high level of effectiveness. It supports efficiency, broad coverage, and relevance to user expectations.

Other options are less suitable:

A. Static code analysis is a white-box technique, more relevant to unit or integration testing.

B. Input validation is an objective or activity, not a test design technique.

D. Defect-based testing is more diagnostic, used after failures or during exploratory testing — less structured for planned acceptance testing.

Exact Reference – ISTQB CTFL Acceptance Testing Syllabus (Section 2.4):

“Black-box techniques such as equivalence partitioning and boundary value analysis are suitable for deriving acceptance tests from user stories or business rules.”