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| Section | Objectives |
|---|---|
| Topic 1: The Tasks of the Test Analyst in Risk-Based Testing | - Risk Analysis - Risk Control |
| Topic 2: Software Defect Prevention | - Supporting Phase Containment - Defect Prevention Practices - Mitigating Recurrence of Defects |
| Topic 3: The Tasks of the Test Analyst in the Test Process | - Involvement in Test Activities - Tasks Related to Work Products - Testing in the Software Development Lifecycle |
| Topic 4: Testing Quality Characteristics | - Compatibility Testing - Flexibility Testing - Functional Testing - Usability Testing |
| Topic 5: Test Analysis and Test Design | - Data-Based Test Techniques - Rule-Based Test Techniques - Experience-based Testing - Behavior-Based Test Techniques |
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NEW QUESTION # 37
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: D
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 # 38
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 # 39
You are your employer's most experienced TA. The organisation performs root cause analysis (RCA) thoroughly, but infrequently and only on individual defects that went live at the highest of the five Severity levels.
After six months of live operation for one system, particular concern has been expressed about the volume of usability and security defects and there is a strong desire to reduce their quantities. You have recommended adding product quality characteristics, per ISO 25010, to the defect report template.
How might this recommendation support RCA?
Answer: B
Explanation:
The correct answer is B . The organization already performs RCA, but only infrequently and only for individual live defects at the highest severity level. That approach misses recurring lower-severity or medium- severity defect patterns, especially where many defects share the same quality concern. CTAL-TA v4.0 includes supporting root cause analysis with defect classification and aligns the syllabus with the ISO/IEC
25010:2023 product quality model, including quality characteristics such as functional suitability, usability, security, compatibility, and others.
Adding Quality Characteristic to the defect report template enables defects to be grouped by the quality attribute they affect. Combined with Severity , this allows the team to isolate clusters such as high-volume usability defects or serious security defects and then perform RCA on a meaningful defect group rather than only on isolated live failures. That directly supports the stated goal: reducing the quantities of usability and security defects.
Option A is partly useful because Pareto analysis can identify high-volume categories, but by itself it is defect counting, not the strongest RCA support. Option C concerns defect detection percentage, which is a different analysis objective. Option D is weak because "how the defect was fixed" may help investigation, but it does not provide the systematic classification needed to target recurring root causes. Reference: CTAL-TA v4.0, Sections 5.3.2 Supporting Root Cause Analysis with Defect Classification and Appendix F Software Quality Model .
NEW QUESTION # 40
You are working on a project to build a purchasing system. The main requirements for the system are that it shall:
* Allow users to enter details of items that they wish to have purchased and, from these details, create a purchase request.
* Take each purchase request through a workflow that will allow the requestor's line manager to approve the request, reject it or return it for clarification / modification.
* Forward approved requests to the Purchasing Department.
* Allow purchasers to find the best available supplier for each approved request and place the request on that supplier as a purchase order.
The solution is being developed according to the company's traditional V-model methodology. The requirements are clearly documented and include a business process model. Operational profiles have been created to guide performance testing.
Initial item entry will involve a check that each item entered exists on the master stock file and that the user is entitled to request it; this depends on user role and grade. Line manager authorization will be assisted by a recommendation made by the system according to relevant business rules, although the manager can override this recommendation. For approved requests, the workflow will continue to support the process through to placing of the purchase order.
Planning has begun for system testing and the Test Manager has asked you, the senior TA, to help with it.
What would be the MOST effective techniques for functional testing of this project?
a) Combinatorial testing
b) Random testing
c) CRUD testing
d) State transition testing
e) Scenario-based testing
f) Decision table testing
g) Exploratory testing
Answer: C
Explanation:
The correct answer is D because the scenario gives three strong test-basis signals: a workflow, a business process model, and business rules. CTAL-TA v4.0 classifies relevant black-box techniques into data-based, behavior-based, and rule-based techniques, and explicitly includes state transition testing, scenario-based testing, and decision table testing within Chapter 3 test analysis and design. It also requires the Test Analyst to select appropriate techniques for a given situation.
State transition testing fits the purchase request workflow because requests move between states such as created, approved, rejected, returned for clarification, forwarded, and converted to purchase order. CTAL-TA states that behavior-based techniques derive tests from state-dependent or dynamic behavior. Scenario-based testing fits because the requirements include a business process model and end-to-end purchasing flows.
CTAL-TA states that scenario-based testing evaluates behavior in realistic workflows and may use activity diagrams, use cases, flowcharts, or BPMN models. Decision table testing fits because entitlement checks and manager recommendations are driven by business rules involving role, grade, and authorization logic. Rule- based techniques verify stateless business-rule behavior.
Combinatorial testing may help with input combinations, but it is not the best overall functional set here.
Random and exploratory testing are weak choices because the requirements are clear and formal.
NEW QUESTION # 41
You are testing the functional correctness of an application which generates quotes for motor insurance. The amount of the quote is governed by a combination of the following factors:
* Type of Cover, can be: comprehensive, third party damage only, or third party damage + fire and theft
* Vehicle Engine Size, can be: < 1500cc, < 2000cc, < 2500cc, > =2500cc
* Driving Licence Type, can be: fully qualified, or student driver
* Vehicle Storage Type, can be: locked garage, or unlocked private place, or public place
* Time Since Last Claim, can be: < 1year, < 2yrs, < 3yrs, > =3yrs
In order to achieve full PAIRWISE coverage, how many combinations must be tested?
Answer: D
Explanation:
The correct answer is C . Pairwise coverage means that every possible pair of parameter-value pairs across any two parameters must appear in at least one test case. CTAL-TA v4.0 defines pairwise coverage as coverage where the coverage items are pairs of parameter-value pairs for any two parameters, and notes that tools are commonly used because finding a minimal set can be difficult.
Here the parameter value counts are: Type of Cover = 3 , Vehicle Engine Size = 4 , Driving Licence Type = 2
, Vehicle Storage Type = 3 , and Time Since Last Claim = 4 . The largest two-parameter interaction is between the two 4-value parameters: Vehicle Engine Size × Time Since Last Claim = 4 × 4 = 16 required pairs. Therefore, no pairwise suite can have fewer than 16 tests, because each test can cover only one specific pair between those two parameters.
A 16-test pairwise suite is achievable because the remaining 3-value, 2-value, and 3-value parameters can be distributed across those 16 rows while preserving all required two-way interactions. Option D , 288, is the full exhaustive combination count: 3 × 4 × 2 × 3 × 4 = 288 , not pairwise coverage. Option A and B are insufficient or unsupported by the pairwise lower bound. Reference: CTAL-TA v4.0, Section 3.1.2 Combinatorial Testing .
NEW QUESTION # 42
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