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

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.”

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 type of external user acceptance testing performed by potential or existing customers in a real-world environment. It typically occurs after internal validation and acceptance tests have been passed. The purpose is to validate the product in realistic contexts, identify usability issues, uncover defects that may have been missed in lab settings, and gather feedback for improvements.

Option C is correct because it best describes the intent and value of beta testing — to observe how the product performs in real-life configurations, which may include varying hardware, usage patterns, or business workflows.

Option A is incorrect — while some people use the terms loosely, beta testing is not a strict synonym for acceptance testing. Acceptance testing usually refers to more formal, criteria-driven testing (e.g., alpha or internal acceptance testing), while beta testing emphasizes broad, usage-based validation.

Option B is misleading — beta testers may follow scenarios, but beta testing is not typically based on predefined acceptance criteria alone. It emphasizes exploration in realistic use cases.

Option D is false — beta testing is not primarily about measuring test coverage. It is qualitative and feedback-driven rather than systematically structured.

Exact Reference – ISTQB CTFL Acceptance Testing Syllabus (Section 3.2):

“Beta testing is performed by users in their own environment and supports validation of the system in realistic operational conditions.”