CTFL-AcT Exam Dumps : ISTQB Certified Tester - Acceptance Testing (CT-AcT)

The goal here is to achieve full decision coverage (also known as branch coverage), which means each decision point in the process must evaluate to both TRUE and FALSE at least once during testing.

From the BPMN ATM withdrawal model, we identify two key decisions:

Is the balance ≥ $100?

If yes, is receipt = YES?

To achieve full decision coverage:

One test must evaluate decision 1 as TRUE and another as FALSE.

If decision 1 is TRUE, then decision 2 must be exercised both ways (receipt = YES and NO), but for minimal decision coverage, one path through decision 2 is enough.

Analyzing test cases:

Test 1 (balance = $100, receipt = YES): decision 1 = TRUE, decision 2 = TRUE

Test 2 (balance = $99): decision 1 = FALSE

These two tests ensure:

Decision 1 evaluated TRUE (Test 1) and FALSE (Test 2)

Decision 2 evaluated at least once (receipt = YES in Test 1)

Thus, Test 1 and Test 2 form the minimal set for full decision coverage.

Other options:

C and D are redundant for the minimal set.

A includes an extra test not needed for minimal decision coverage.

Answer: B. Test 1, Test 2

Beta testing is a form of external user acceptance testing where real users test the product in their environment before the official release. It helps identify issues that may not have been caught in internal testing and gather user feedback on functionality, usability, and performance in real-world conditions.

Option C is correct — the core goal of beta testing is to obtain user feedback in their actual usage context, providing insight into how the system performs outside of controlled environments.

Other options:

A: Test charters are used in exploratory testing, not typically in beta testing.

B: Incorrect — beta testing is not tied to the timing of user story development in Agile.

D: Incorrect — beta testing is performed by end users, not by internal team members like developers or business analysts.

Answer: C. Beta testing aims to obtain feedback from users in their context of use

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.”