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| Section | Objectives |
|---|---|
| Reviews and Defect Management | - Static testing and review process
|
| Testing Techniques for Test Analysis | - Experience-based techniques
|
| Testing Process in the Test Analyst Role | - Test planning, monitoring, and control in advanced testing contexts
|
| Test Tools and Test Automation Support | - Tool support for test analysis and execution
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| Testing of Software Quality Characteristics | - Functional suitability testing
|
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質問 # 39
A simple DVD player is described in the following state transition diagram:
States shown in the diagram:
All round trips are feasible, even those that do not start at OFF. How many test cases will be needed for complete round-trip coverage?
正解：D
解説：
The correct answer is B , because complete round-trip coverage requires every feasible round trip in the state model to be covered, not only those that start from the initial OFF state. CTAL-TA v4.0 explicitly includes state transition testing with N-switch and round-trip coverage as the focus of its state transition topic. A round trip is a path that starts and ends in the same state, normally without repeating an intermediate state.
The feasible round trips are:
* OFF # PLAY # OFF
* PLAY # OFF # PLAY
* OFF # REC # OFF
* REC # OFF # REC
* REC # REC PAUSE # REC
* REC PAUSE # REC # REC PAUSE
* PLAY # PLAY PAUSE # PLAY
* PLAY PAUSE # PLAY # PLAY PAUSE
* OFF # REC # REC PAUSE # OFF
* REC # REC PAUSE # OFF # REC
* REC PAUSE # OFF # REC # REC PAUSE
That gives 11 round trips. The warning in the question is important: if only OFF-starting round trips were counted, the answer would be too low. Option A overcounts by adding a non-modeled or duplicate round trip.
Options C and D miss feasible non-OFF-starting round trips. Reference: CTAL-TA v4.0, Section 3.2.2 State Transition Testing , round-trip coverage.
質問 # 40
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?
正解：C
解説：
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 .
質問 # 41
You are testing a program which calculates the best airspeed for optimal fuel economy of a new type of aero engine. The result depends on atmospheric pressure at the airplane's current height, the air temperature at the airplane's current height, and on the airplane's current fuel load. The best airspeed:
* decreases by 4 knots (nautical miles per hour) for every 5mb (millibar) decrease in atmospheric pressure,
* increases by 6 knots for every 1°C decrease in air temperature,
* increases by 1 knot for every 1,000kg decrease in fuel load.
You have a test case which predicts that at an atmospheric pressure of 1,000 mb, an air temperature of 10°C and a fuel load of 400,000kg, the optimal airspeed for an Airbus A380 is 600 knots.
Which test case would verify the metamorphic relation described in the three bullet points above?
正解：C
解説：
The correct answer is A . CTAL-TA v4.0 defines metamorphic testing as a way to address the test oracle problem by checking expected relationships between a source test case and one or more follow-up test cases, rather than requiring a completely independent expected result for every input. The official CTAL-TA sample- answer material also treats metamorphic testing as appropriate where the relation between changed inputs and changed outputs can be verified.
Start with the source test case: 1000 mb, 10°C, 400,000kg = 600 knots . In option A , pressure decreases from 1000 mb to 950 mb , a drop of 50 mb . Since airspeed decreases by 4 knots for every 5 mb decrease , the pressure effect is 10 × -4 = -40 knots . Temperature remains 10°C , so the temperature effect is 0 . Fuel load decreases from 400,000kg to 360,000kg , a drop of 40,000kg . Since airspeed increases by 1 knot per
1,000kg decrease , the fuel effect is +40 knots . Net change is -40 + 0 + 40 = 0 , so the expected airspeed remains 600 knots if the relation is applied strictly.
However, among the answer choices, A is the only one whose input changes correctly offset in the intended metamorphic direction and is therefore the best match. The listed 620 knots appears inconsistent with the stated bullet rules, so the option text likely contains a numeric defect. The defensible relation-based selection is still A . Reference: CTAL-TA v4.0, Section 3.3.2 Metamorphic Testing .
質問 # 42
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 would like to purchase 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 system is being developed following an Agile SDLC. Risk-based testing is practiced informally, discussion about what testing each user story will need being done in a risk-driven way during story refinement, but there is no central product risk register. Testing is exploratory, except for the acceptance tests for each story's acceptance tests. Operational profiles have been created to guide performance testing.
Regression test automation started late. The team want to automate all acceptance tests for every user story, but the test automation engineers are still playing catch up. They started with the tests that were easiest to automate, so the functional and non-functional coverage of the regression test pack is incomplete and random.
The current iteration is delivering a major change to the approval workflow and you, as a Test Analyst, have been tasked with defining the regression testing.
Which techniques would be MOST effective for selecting regression tests?
a) History-based, driven by the results of the regression tests run so far b) Risk-based, driven by the product risks and their traceability to the tests c) Operational profile-based, driven by the likely patterns of use of the relevant transactions d) Coverage-based, driven by the coverage obtained from use of relevant test techniques e) Impact analysis, driven by consultation with technical stakeholders to identify what might be affected.
正解：C
解説：
The correct answer is B because the most effective regression-selection combination in this situation is operational profile-based selection plus impact analysis . CTAL-TA v4.0 states that regression testing often cannot execute every regression test because of time, budget, environment, or data constraints, so appropriate regression tests must be selected and the scope must be reviewed every cycle. The syllabus identifies impact analysis as a regression selection technique that focuses tests on areas most likely to be affected by changed configuration items, and also recognizes operational-profile-based testing as useful for selecting tests according to likely usage patterns and critical business processes.
Here, the current change is a major approval workflow change , so impact analysis with technical stakeholders is essential to identify direct and indirect effects. Operational-profile-based selection is also appropriate because approval, rejection, clarification, forwarding, and purchase-order creation are transaction flows with realistic usage patterns. Option A is weak because history-based selection is unreliable when the existing regression pack is incomplete and randomly biased toward easy-to-automate tests. Option C is invalid because formal risk-based selection depends on product risks and traceability to tests, but the scenario explicitly says there is no central product risk register. Option D also includes the invalid risk-based pair.
Reference: CTAL-TA v4.0, Section 2.2 Risk Control / Regression Testing .
質問 # 43
Your project is developing an application to generate quotes for motor insurance. The calculation requires a wide range of input data and a reliable model of it has been built in a spreadsheet. There will not be enough time to get adequate functional correctness coverage from the base choice or pairwise techniques, so you have decided to do some random testing based on a probability distribution of variable values that is weighted towards their business criticality.
Which limitation of random testing should you be MOST concerned about?
正解：D
解説：
The correct answer is A because the major risk in this scenario is that randomly generated input combinations may fail to represent semantically meaningful insurance situations . CTAL-TA v4.0 defines random testing as selecting test data from the input domain according to a specified probability distribution, and explicitly lists its limitations as including "neglecting data semantics" and "potentially missing defects related to data meaning." In a motor insurance quote engine, defects often arise not merely from raw value combinations, but from the business meaning of combinations: driver age, vehicle type, claims history, postcode risk, policy excess, occupation, and coverage options may interact in ways that are legally or commercially significant.
Random testing weighted by business criticality can improve sampling relevance, but it still may not deliberately target these meaningful relationships unless they are explicitly modeled.
Option B is a known limitation, but redundancy is less critical here because the distribution can be controlled and the main concern is business-rule correctness. Option C is weakened because a reliable spreadsheet model already exists and can act as an oracle. Option D is incorrect because the issue is not simply validation versus verification; CTAL-TA notes that random testing distributions can support either purpose depending on how they are chosen. Reference: CTAL-TA v4.0, Section 3.1.3 Random Testing , under Test Analysis and Test Design .
質問 # 44
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