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| Section | Objectives |
|---|---|
| Test Tools and Test Automation Support | - Tool support for test analysis and execution
|
| Reviews and Defect Management | - Defect lifecycle and reporting
|
| Testing of Software Quality Characteristics | - Non-functional quality aspects
|
| Testing Process in the Test Analyst Role | - Test planning, monitoring, and control in advanced testing contexts
|
| Testing Techniques for Test Analysis | - Experience-based techniques
|
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NEW QUESTION # 10
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 # 11
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: C
NEW QUESTION # 12
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: B
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 # 13
How is a Test Analyst involved in an Incremental SDLC model?
Answer: A
Explanation:
The correct answer is C . CTAL-TA v4.0 states that incremental development models divide the software into smaller, manageable increments, and each increment is developed and tested independently. Therefore, the Test Analyst performs the same core activities for each increment: test analysis, test design, test implementation, test execution, and test management support. The official CTAL-TA sample exam answer explanation confirms the same point: each increment is developed and tested independently, so the Test Analyst performs the same test activities for each increment.
Option A is not the best answer because "dynamic and adaptive" describes the Test Analyst's role more naturally in iterative or Agile contexts, where product evolution and feedback cycles drive adaptation. Option B is wrong because CTAL-TA explicitly notes that although the same activities are performed, the TA's work may be organized differently for each increment. Option D is wrong because incremental development is not necessarily cyclical; the official sample answer specifically rejects the idea that incremental development must be cyclical.
So the exam-safe distinction is: same activities in each increment, but not necessarily the same organization, timing, or cyclic structure . Reference: CTAL-TA v4.0, Section 1.1 Testing in the Software Development Lifecycle .
NEW QUESTION # 14
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 and has been clearly specified.
The entry of forecasting parameters and of requests to see the reports will be low volume, but the Merchandising Manager is concerned about usability because the forecasting parameters are complex.
Which test charter would be BEST for the initial exploratory testing of requirement 3?
Answer: A
Explanation:
The correct answer is C . CTAL-TA v4.0 describes a session-based exploratory test charter as a focused mission, commonly structured as Explore [target] With [resources] To discover [information] . The charter should focus the tester's limited exploratory effort on the highest-value area, using suitable resources and a clear discovery objective. The syllabus includes test charters supporting session-based testing under test analysis and design.
Here, the relevant new functionality is Requirement 3 , especially the entry of complex forecasting parameters through a browser-based front end. The Merchandising Manager's explicit concern is usability , not functional correctness of the existing actual sales reports and not performance. The scenario also states that entry of forecasting parameters and report requests will be low volume , which weakens performance as the initial exploratory objective.
Option A targets report request entry, but the problem statement says the complexity and concern are around forecasting parameters , not the act of requesting a report. Option B targets Requirement 2, the existing actual sales report production, rather than the new Requirement 3 functionality. Option D uses the right target but the wrong objective: performance is not the main stated risk for this initial exploratory session. Reference:
CTAL-TA v4.0, Section 3.4.1 Test Charters Supporting Session-Based Testing and Section 4.2 Usability Testing .
NEW QUESTION # 15
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