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| Section | Objectives |
|---|---|
| Topic 1: Test Analysis and Test Design | - Behavior-Based Test Techniques - Rule-Based Test Techniques - Data-Based Test Techniques - Experience-based Testing |
| Topic 2: The Tasks of the Test Analyst in Risk-Based Testing | - Risk Control - Risk Analysis |
| Topic 3: Software Defect Prevention | - Defect Prevention Practices - Supporting Phase Containment - Mitigating Recurrence of Defects |
| Topic 4: The Tasks of the Test Analyst in the Test Process | - Involvement in Test Activities - Testing in the Software Development Lifecycle - Tasks Related to Work Products |
| Topic 5: Testing Quality Characteristics | - Usability Testing - Functional Testing - Flexibility Testing - Compatibility Testing |
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NEW QUESTION # 45
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.
Answer: C
Explanation:
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 .
NEW QUESTION # 46
You are testing the functional correctness of an application which allows the driver of a car to control if the air that enters the passenger compartment is fresh or recycled. The car may be ordered in various configurations:
* Engine Size, can be: 1500cc, 1900cc, 2200cc, 2500cc
* Gearbox type, can be: automatic, manual 5-speed, manual 6-speed
* Cruise control, can be: yes or no
* Electric sunroof, can be: yes or no
It is expected that the most popular configuration will have a 1900cc engine and a manual 5-speed gearbox with cruise control and no electric sunroof. In order to achieve full BASE CHOICE coverage, how many configurations must be tested?
Answer: D
Explanation:
The correct answer is D . CTAL-TA v4.0 defines base choice coverage as a combinatorial coverage criterion where a base value is selected for each parameter, forming one base coverage item. Then, additional coverage items are created by replacing one base value at a time with each non-base value while all other parameters remain at their base values.
The base configuration is explicitly given: 1900cc engine , manual 5-speed gearbox , cruise control = yes , and electric sunroof = no . That gives the first test configuration. Then each non-base value must be tested once while the other values remain fixed at the base configuration. Engine Size has four values, so there are 3 non-base engine values: 1500cc, 2200cc, and 2500cc. Gearbox type has three values, so there are 2 non-base gearbox values: automatic and manual 6-speed. Cruise control has one non-base value: no. Electric sunroof has one non-base value: yes.
Total configurations = 1 base + 3 + 2 + 1 + 1 = 8 . Option A , 48, is exhaustive testing: 4 × 3 × 2 × 2. Options B and C do not match the base choice formula. Reference: CTAL-TA v4.0, Section 3.1.2 Combinatorial Testing .
NEW QUESTION # 47
In your role as a Test Analyst for the development of a business application, you asked the Product Owner to help you understand how the various product risks would affect the users.
Which product risk management activity was this?
Answer: D
NEW QUESTION # 48
Your project is developing an application to process claims against insurance policies. Which of the following is a good example of CRUD completeness testing?
Answer: A
Explanation:
The correct answer is C because CRUD completeness testing is a static activity. CTAL-TA v4.0 defines CRUD as create, read, update, and delete, and states that CRUD testing verifies the lifecycle of data entities processed by the test item. The syllabus distinguishes two parts: CRUD completeness testing , which statically verifies whether all possible CRUD operations occur for every entity, and CRUD consistency testing , which dynamically checks whether functions interact correctly when handling the entity.
For an insurance-claims application, the key entity is the claim . A technical review checking whether the architecture/specification includes the ability to create, read, update, and delete claim records directly matches CRUD completeness. It is concerned with whether the full claim lifecycle has been included, not whether the lifecycle behaves correctly during execution. Option A is a strong example of CRUD consistency testing because it executes a lifecycle sequence and checks post-delete behavior. Option B is also dynamic execution, so it is not the best match for completeness. Option D is requirements elicitation completeness, not specifically CRUD completeness for the implemented claim entity. Reference: CTAL-TA v4.0, Section 3.2.1 CRUD Testing .
NEW QUESTION # 49
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.
The main release has now been live for three months and you are working on the first maintenance release.
The test manager has asked you, the senior TA, to identify those parts of the test process which were most and least effective at finding defects in the main release.
You have collected statistics for the independent test activities, i.e. excluding developers' testing, including only the 178 defects in the three highest of your five defect severity levels. The results are presented in the table below:
Assume that all defects not found at the first opportunity could have been, e.g. that all defects that escaped into acceptance testing were within the scope and objectives of system testing. By applying Defect detection percentage (DDP) analysis, which test activity was LEAST effective?
Answer: C
Explanation:
The correct answer is B . CTAL-TA v4.0 explains that Defect Detection Percentage is used to evaluate how effectively a test level or activity detects defects, and a low DDP indicates a high percentage of escaped defects, meaning the activity was ineffective and should be analyzed for improvement. The official CTAL-TA sample-answer material gives the formula as DDP = D / (D + E) , where D is defects detected in that phase and E is defects that escaped that phase and were detected later.
For test analysis including requirements review , only requirements defects are in scope at the first opportunity. It found 13 requirements defects, while 52 requirements defects escaped and were found later: 12 in test design, 20 in system testing, 10 in acceptance testing, and 10 in live operation. Therefore, DDP = 13 / (13 + 52) = 13 / 65 = 20% .
For comparison, test design found 40 of the 100 defects it could have found, so DDP = 40% . System testing found 75 of 125 possible remaining defects, so DDP = 60% . Acceptance testing found 25 of 50 possible remaining defects, so DDP = 50% . The lowest DDP is therefore test analysis, including requirements review . Reference: CTAL-TA v4.0, Section 5.3.1 Analyzing Test Results to Improve Defect Detection .
NEW QUESTION # 50
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