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| Section | Objectives |
|---|---|
| Test Tools and Test Automation Support | - Tool support for test analysis and execution
|
| Testing Process in the Test Analyst Role | - Test planning, monitoring, and control in advanced testing contexts
|
| Testing of Software Quality Characteristics | - Functional suitability testing
|
| Testing Techniques for Test Analysis | - Experience-based techniques
|
| Reviews and Defect Management | - Static testing and review process
|
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NEW QUESTION # 41
A system will be developed to support the administration of table-tennis tournaments. The following requirements for the enrolment of entrants have been provided:
R1. High. The administrator shall be able to enter the entrant's name, address, phone number/s (mobile and/or home), email and social media handles. Validation rules for these data items are provided separately.
R2. High. The administrator shall be able to enter the entrant's current world ranking (up to 250) and their relationship with the tournament sponsors (i.e. clothing / equipment / endorsement).
R3. High. The administrator shall be able to enter the entrant's attendance history at previous events (i.e.
finalist / played / withdrew during event / withdrew before event).
R4. Medium. From the entrant's address the system shall derive whether or not the entrant lives locally and, on the basis of that combined with other rules that are provided separately, shall suggest how much of the tournament's overall prize fund should be offered to the entrant as their individual attendance fee.
R5. Low. The administrator should be able to change the suggested attendance fee and the system should then deduct this from the remaining prize fund balance accordingly.
You have been asked to review the requirements using perspective-based reading, from your viewpoint as the TA who will be writing functional correctness system test cases. Assume that the other rules referred to by requirements R1 and R4 have been reviewed and are satisfactorily testable. Which conclusion would you reach?
Answer: C
Explanation:
The correct answer is A . Using perspective-based reading, the TA must review the requirements from the viewpoint of someone who must derive functional correctness test cases. CTAL-TA v4.0 states that perspective-based reading requires reviewers to attempt to use the test basis to generate the work product they would derive from it; for a tester, that means attempting to create tests and checking whether all necessary information is present.
R1 is testable because the data-entry items are listed and the validation rules are explicitly provided separately and assumed testable. R4 is also testable because the derivation and attendance-fee rules are separately provided and assumed testable. R5 is testable as a functional rule: change the suggested attendance fee, then verify that the remaining prize fund balance is reduced accordingly.
The weak requirements are R2 and R3 . R2 does not fully define the valid model for "relationship with the tournament sponsors": it is unclear whether clothing, equipment, and endorsement are mutually exclusive, whether multiple relationships may apply, or whether "no relationship" is valid. R3 is also incomplete because "attendance history at previous events" is not fully defined: it is unclear whether this is one value, multiple event records, or a history per event, and some values overlap conceptually, such as finalist and played. These gaps prevent complete functional correctness test design. Reference: CTAL-TA v4.0, Sections
5.2.2 Applying Review Techniques and 1.2.1 Test Analysis .
NEW QUESTION # 42
You are testing a program which should calculate the area of a trapezium and have decided to use metamorphic testing. The formula Area = (((a + b) / 2) * h) where a and b are the lengths of the two parallel sides, and h is the height when the parallel sides are horizontal.
Which ONE of the following would be an appropriate metamorphic relation?
Answer: B
Explanation:
The correct answer is B , but the question is slightly under-specified as written. CTAL-TA v4.0 defines a metamorphic relation as a property that describes how a change in test input is reflected in the expected result.
It is used to create follow-up test cases from a source test case and then evaluate the source and follow-up results jointly.
For the trapezium formula, if b changes while a and h remain unchanged, the area must change, not the height. Therefore, options C and D are structurally wrong because changing an input side length does not imply a change in h . Option A is also weak because it mixes an absolute increase in b with a fixed percentage increase in area, without considering the original values of a , b , and h . Option B is the only option that correctly expresses the expected-result relationship: a percentage increase in b causes a predictable percentage increase in area . Strictly, the exact percentage depends on the contribution of b to a + b ; the shown 2/3 relation is valid when b / (a + b) = 2/3 . Reference: CTAL-TA v4.0, Section 3.3.2 Metamorphic Testing .
NEW QUESTION # 43
You are assigned to an Agile team as a Test Analyst. In most ways, the team seems to be working well.
Iteration planning goes smoothly because the user stories are good quality. Most defects that are found by testing are fixed in the same iteration and those that do go live are not causing significant dissatisfaction amongst stakeholders. However, the team is unhappy because the Defect Removal Efficiency rate, measured for each iteration, is less than 80%.
What would be the MOST effective contribution by you as a TA, to improve the situation?
Answer: A
Explanation:
The correct answer is D . The problem described is not obviously poor requirements quality, poor Agile discipline, or severe stakeholder dissatisfaction. The visible issue is a defect metric : Defect Removal Efficiency is below 80% for each iteration. The most effective Test Analyst contribution is therefore to improve the collection, classification, interpretation, and evaluation of defect data before the team acts on the metric. CTAL-TA v4.0 states that test results provide feedback that helps the TA improve defect detection effectiveness, and that measures such as defect detection percentage require careful boundaries, escaped- defect counting rules, and exclusion criteria. A low value indicates ineffective defect detection, so the TA should analyze the reasons and propose focused improvements.
This scenario strongly suggests that the team may be reacting to a headline metric without understanding what is being counted. For example, escaped defects may be minor, duplicates may be counted inconsistently, defects may belong to earlier work, or the iteration boundary may distort the figure. CTAL-TA also warns that defect metrics are not always easy to read because failed tests and defects can have many-to-many relationships and severities may differ.
Option B , root cause analysis, is useful after credible defect classification exists, but it is premature as the primary action. Options A and C are too generic. Reference: CTAL-TA v4.0, Sections 5.3.1 Analyzing Test Results to Improve Defect Detection and 5.3.2 Supporting Root Cause Analysis with Defect Classification .
NEW QUESTION # 44
A simple drinks machine is described in the following state transition diagram:
How many test cases will be needed for Chow's 1-switch coverage?
Answer: D
Explanation:
The correct answer is C , because Chow's 1-switch coverage requires every valid sequence of two consecutive transitions to be covered. CTAL-TA v4.0 states that N-switch coverage applies to valid sequences of N+1 consecutive transitions , and specifically defines a 1-switch as a pair of incoming and outgoing transitions at a state.
Count the possible incoming-transition/outgoing-transition pairs at each state:
* S1 has 2 incoming transitions: clear, take drink, and 2 outgoing transitions: coffee, tea.
So, 2 × 2 = 4 1-switches.
* S2 has 4 incoming transitions: coffee, tea, dispensed from sugar, dispensed from milk, and 4 outgoing transitions: clear, sugar, milk, vend.
So, 4 × 4 = 16 1-switches.
* S3 has 1 incoming transition and 1 outgoing transition: 1 × 1 = 1 .
* S4 has 1 incoming transition and 1 outgoing transition: 1 × 1 = 1 .
* S5 has 1 incoming transition and 1 outgoing transition: 1 × 1 = 1 .
Total = 4 + 16 + 1 + 1 + 1 = 23 .
Therefore, the minimum quantity needed for full Chow's 1-switch coverage is 23 . Reference: CTAL-TA v4.
0, Section 3.2.2 State Transition Testing , N-switch coverage.
NEW QUESTION # 45
You are developing test cases for an application which performs complex calculations and have decided to model these calculations on a spreadsheet, to determine expected results from inputs.
Which solution to the test oracle problem BEST describes the approach you are using?
Answer: B
Explanation:
The correct answer is D . A spreadsheet model used to calculate expected results is best classified as a pseudo- oracle when it has been developed independently from the test object and is used to produce expected outcomes for comparison with the system under test. CTAL-TA v4.0 explains that a test oracle is needed to determine expected results in dynamic testing, and that the test oracle problem occurs when a cost-effective oracle is not readily available because of factors such as data-related complexity, non-determinism, probabilistic behavior, or ambiguous requirements. The syllabus identifies pseudo-oracles as independently developed systems that fulfill the same specification as the test object, including simplified versions of the test object.
Here, the application performs complex calculations, and the spreadsheet is being used as an independent calculation model to determine expected results from the same inputs. That is the classic pseudo-oracle pattern. Option A is wrong because property-based testing verifies general input/output properties rather than exact expected calculation results. Option B is wrong because metamorphic testing checks relations between source and follow-up test cases, not a full expected result from a spreadsheet. Option C is not the named CTAL-TA oracle solution being used here. Reference: CTAL-TA v4.0, Section 1.3.4 Determining Test Oracles .
NEW QUESTION # 46
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