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| Section | Weight | Objectives |
|---|---|---|
| The Test Analyst Role in the Software Development Lifecycle | 15% | - Contribution to test strategy and planning - Work products and stakeholder communication - Test analyst tasks across SDLC models |
| Test Analyst Tasks in Risk-Based Testing | 15% | - Product risk analysis and assessment - Regression testing scope based on change impact - Risk-based test prioritization and scope definition |
| Evaluating Test Results and Reporting | 9% | - Reporting test progress and quality status - Analyzing test results and coverage - Assessing requirement and risk coverage - Improving test processes and defect detection |
| Test Implementation and Execution | 10% | - Designing test procedures and test cases - Executing tests and documenting results - Defect logging and root cause analysis support - Test data preparation and management |
| Test Analysis and Test Design | 51% | - Test analysis principles and activities
|
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NEW QUESTION # 31
You are working on an Agile project to develop a web-based online dating service that will allow members of the service to enter their profile, meet people who would be a good match for them, arrange social events with those people and to block people with whom they do not want contact.
The features for member profile entry have been delivered and tested. The current iteration will deliver profile matching. The regression tests for profile entry will be the acceptance criteria for its user stories. These tests have not been automated yet so you have decided to perform regression testing on the basis of a checklist.
Which checklist would be BEST in these circumstances?
Answer: C
Explanation:
The correct answer is A . CTAL-TA v4.0 describes checklist-based testing as an experience-based technique in which checklist items guide the tester and help avoid missing important checks. It distinguishes checklist use from fully scripted testing, but the checklist must still be concrete enough to support the objective of the test session.
Here, the goal is regression testing for profile entry. The scenario says the regression tests for profile entry will be the acceptance criteria for its user stories , but those tests have not been automated yet. Since the team needs to manually perform regression testing now, the best checklist is a read-do checklist built from the acceptance tests of the user stories. A read-do checklist is appropriate when the tester should read each item and perform it as an action. That fits manual regression execution: run this acceptance test, check the result, then proceed to the next item.
Option B is weaker because acceptance criteria are statements of expected behavior, not necessarily executable test actions. Option C is less suitable because a do-confirm checklist is used when tasks are performed from memory or normal workflow and then checked afterward; regression testing needs active, item-by-item execution. Option D combines both weaknesses: acceptance criteria instead of acceptance tests, and do-confirm instead of read-do. Reference: CTAL-TA v4.0, Section 3.4.2 Checklists Supporting Experience-Based Test Techniques .
NEW QUESTION # 32
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: B
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 # 33
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: B
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 # 34
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: D
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 # 35
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 # 36
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