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| Section | Objectives |
|---|---|
| Software Defect Prevention | - Mitigating Recurrence of Defects - Defect Prevention Practices - Supporting Phase Containment |
| 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 |
| Testing Quality Characteristics | - Functional Testing - Compatibility Testing - Usability Testing - Flexibility Testing |
| The Tasks of the Test Analyst in Risk-Based Testing | - Risk Analysis - Risk Control |
| Test Analysis and Test Design | - Experience-based Testing - Rule-Based Test Techniques - Data-Based Test Techniques - Behavior-Based Test Techniques |
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NEW QUESTION # 13
You are working on a project to replace an old sales and merchandising system with a new system that will be based on modern platforms. The old system Is still in production but is poorly documented and expensive to maintain. The new version will be developed using modern technology. The main requirements for the system are that it shall:
* Load sales data, sent electronically from the stores each evening, into a central database.
* Produce actual sales reports for the merchandisers, whose job is to manage stock levels in stores.
* Produce sales forecast reports based on a combination of sales history and forecasting parameters. The parameters will be entered by the merchandisers into a browser-based front end and the reports will be produced overnight. The users will be able to see the reports next day, on screen or in print, by requesting this through the browser.
Requirements 1 and 2 are satisfied by the existing system and will be rewritten with no significant changes.
Requirement 3 is new. The development will use your company's Agile SDLC, with 2-week iterations.
Technical skill levels in the team are high and the approach to automate test execution is aggressive. Each requirement will be specified with user stories, will be released only when complete, and will need more than one iteration. The main business benefit will come from requirement 3, which depends on the other two requirements, and the stakeholders are keen to get this into production as soon as possible.
Release planning has begun for requirement 3 and you need to know at a high level what the testing scope will be, to ensure that the correct resources will be available. Which functional test techniques will be MOST effective for this release?
a) Domain testing
b) Combinatorial testing
c) Random testing
d) CRUD testing
e) Scenario-based testing
f) Decision table testing
g) Exploratory testing
Answer: B
Explanation:
The correct answer is C : domain testing, scenario-based testing, and decision table testing . Requirement
3 is new and business-critical. It involves entering complex forecasting parameters, generating reports overnight from sales history and parameters, and then viewing or printing those reports through the browser.
Domain testing is appropriate because forecasting parameters and sales-history values form input domains with partitions and boundaries. CTAL-TA v4.0 states that domain testing extends equivalence partitioning and boundary value analysis to domains with multiple parameters and complex partitions.
Scenario-based testing is also essential because the requirement describes an end-to-end user/business flow:
enter parameters, run overnight report generation, request report output, view or print result. CTAL-TA states that scenario-based testing evaluates behavior in realistic workflows and is often used in system and acceptance testing from the user's perspective.
Decision table testing fits because forecast calculation behavior is likely governed by business rules involving sales history, parameters, thresholds, and report-generation rules. CTAL-TA classifies decision table testing as a rule-based technique for stateless business rules. Random testing is inferior because the requirement is clearly specified, not poorly understood. CRUD testing is not the strongest match because Requirement 3 is not mainly an entity lifecycle problem.
NEW QUESTION # 14
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.
System testing has finished and the test manager has asked you, the senior TA, to identify any parts of the product that should be focused on during acceptance testing. The results of this may be used to adjust the acceptance test plan.
You are using defect cluster analysis, only counting defects with severity levels 1 to 3, ignoring low severity levels 4 and 5. Function point analysis was used for estimating, so you have used function points as the unit of size for the various functional areas of the product. No numeric estimates of expected defect quantities were made for them individually but, as a result of product risk analysis, these functional areas have been ranked according to the amount of product risk that was predicted in them, with risk ranking 1 being the highest and
5 the lowest; the thoroughness of the testing performed so far has been proportional to that. The results are presented in the table below.
Functional area
Total function points
Product risk ranking
Defects found
Purchase Request entry
2000
2
30
Purchase Request workflow
1500
4
15
Purchase Request authorisation
1000
5
25
Supplier identification
2000
1
30
Purchase Order creation
1000
3
30
Which functional areas would you recommend for more test focus in acceptance testing?
a) Purchase Request entry
b) Purchase Request workflow
c) Purchase Request authorization
d) Supplier Identification
e) Purchase Order creation
Answer: C
Explanation:
The correct answer is C because defect cluster analysis must not be based on raw defect counts alone. CTAL- TA v4.0 states that after testing, the Test Analyst can identify actual defect-prone areas and compare predicted versus actual defect clusters; where discrepancies appear, more rigorous testing may be needed in those areas.
Here, size must be normalized using function points. The defect densities are: Purchase Request entry 30
/2000 = 15 defects per 1000 FP , Purchase Request workflow 15/1500 = 10 defects per 1000 FP , Purchase Request authorization 25/1000 = 25 defects per 1000 FP , Supplier identification 30/2000 = 15 defects per
1000 FP , and Purchase Order creation 30/1000 = 30 defects per 1000 FP .
The strongest actual clusters are therefore Purchase Order creation and Purchase Request authorization .
This is even more significant because authorization had the lowest predicted product risk ranking, 5 , so it should not have produced such a high defect density if the original risk assessment and test focus were accurate. Purchase Order creation also shows the highest defect density despite only medium predicted risk, ranking 3. Supplier identification and Purchase Request entry both have 30 defects, but they are larger areas and have only 15 defects per 1000 function points; Supplier identification was also the highest predicted risk area, so more defects there are less surprising. Reference: CTAL-TA v4.0, Software Defect Prevention , test result analysis and predicted-versus-actual defect cluster analysis.
NEW QUESTION # 15
You are defining test environment requirements for an online retail application that will have to handle high transaction volumes and uses a third-party payment authorization gateway.
Which requirement is MOST important for the functional testing?
Answer: D
Explanation:
The correct answer is A . Functional testing of an online retail application must verify business flows such as checkout, payment authorization, declined payments, authorization timeouts, retry behavior, order confirmation, and error handling. Since the application uses a third-party payment authorization gateway , the test environment must either connect safely to a suitable test version of that gateway or simulate it with a test double. CTAL-TA v4.0 states that test environment requirements are defined during test design based on test conditions, test cases, test data, test levels, test types, and the "availability and independence of components and systems," which may indicate the need for test doubles , such as stubs or drivers.
For functional testing, gateway simulation is critical because many payment outcomes must be controlled and repeatable. Testers need to force approved, rejected, expired, timeout, duplicate, and error responses without relying on a real external payment provider or live financial transactions.
Option B is more relevant to usability or end-to-end experience testing. Option C is not appropriate for a Test Analyst's functional black-box focus, and CTAL-TA explicitly notes that white-box techniques are covered in the Technical Test Analyst syllabus. Option D is important for performance testing, not primarily functional testing. Reference: CTAL-TA v4.0, Section 1.3.3 Test Environment Requirements .
NEW QUESTION # 16
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: D
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 # 17
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 # 18
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