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| Section | Objectives |
|---|---|
| Test Tools and Test Automation Support | - Tool support for test analysis and execution
|
| Testing Techniques for Test Analysis | - Experience-based techniques
|
| Testing Process in the Test Analyst Role | - Test analysis and design
|
| Reviews and Defect Management | - Defect lifecycle and reporting
|
| Testing of Software Quality Characteristics | - Functional suitability testing
|
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NEW QUESTION # 22
In which of the following circumstances is the transition from a high-level test case to a low-level test case MOST LIKELY to be deferred from test design to test implementation?
Answer: B
Explanation:
The correct answer is D . CTAL-TA v4.0 distinguishes between high-level test cases and low-level test cases
. A high-level test case describes the circumstances under which the test object is examined and indicates the test conditions covered, but it does not provide concrete preconditions, input data, expected outputs, or postconditions. A low-level test case is the detailed refinement of that high-level test case and specifies concrete test data, tester actions, expected results, and postconditions.
The syllabus explicitly states that the transition from high-level to low-level test cases is often deferred from test design to test implementation, especially if specific test data is needed . This is because concrete test data may depend on available databases, valid account records, configured environments, external interfaces, data privacy restrictions, or generated identifiers. Until those implementation details are known, a high-level test case may remain abstract.
Option A is incorrect because the execution schedule affects sequencing, not necessarily the abstraction level of a test case. Option B argues for making the test case more understandable, not deferring refinement. Option C is wrong because product risk analysis should guide test prioritization and coverage, but it is not the direct reason for delaying low-level test-case derivation. Reference: CTAL-TA v4.0, Section 1.3.1 High-Level Test Cases and Low-Level Test Cases .
NEW QUESTION # 23
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: D
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 # 24
A savings bank rewards its customers with a £100 bonus when they reach the age of 21, if they have held a savings account for more than 3 years and have at least £2,000 in the account at that time.
Assume that Age is measured in whole years, Account term in whole years, and Account balance to two decimal places, i.e., pounds and pence.
The intended rule is:
IF Age = 21 AND Account term > 3 years AND Account balance > = £2000.00 THEN Pay £100 bonus You have a suite of test cases with the following values:
* TC1 Age = 21, Account term = 3 years, Account balance = £2000.00
* TC2 Age = 20, Account term = 6 years, Account balance = £500.00
* TC3 Age = 20, Account term = 2 years, Account balance = £3000.00
Which of the following test cases should you add to the suite to achieve 100% Reliable domain coverage?
Answer: A
Explanation:
The correct answer is B . Reliable domain coverage requires stronger boundary evidence than simplified domain coverage. CTAL-TA v4.0 defines ON, OFF, IN, and OUT points and states that for borders defined by < , #, > , or #, reliable domain coverage requires one ON, one OFF, one IN, and one OUT point . For an equality operator, it requires one ON point and two OFF points located on different sides of the border .
The existing tests already cover several required items. For Age = 21 , TC1 gives the ON point and TC2/TC3 give the lower-side OFF point at age 20; the missing equality-side point is age 22. For Account term > 3 , TC1 gives OFF at 3, TC2 gives IN at 6, TC3 gives OUT at 2; the missing ON point is 4. For Account balance > = £2000.00 , TC1 gives ON at £2000.00, TC3 gives IN at £3000.00, and TC2 gives OUT at
£500.00; the missing closest OFF point is £1999.99. Option B supplies all three missing items in a single test case: age 22, term 4, and balance £1999.99. Reference: CTAL-TA v4.0, Section 3.1.1 Domain Testing , Reliable domain coverage.
NEW QUESTION # 25
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 # 26
You are defining key words to test an application which will create a Purchase Request (PR) from details of goods that a Merchandiser wants their organization to buy. When valid details have been entered, the resulting PR will be sent to the Merchandise Manager for authorization.
You have a diagram in Business Process Modeling Notation and this section shows the initial steps in this process:
For the first process, when "Something is needed" , which option contains the MOST appropriate keywords for action and verification?
Answer: B
Explanation:
The correct answer is B . In CTAL-TA v4.0 keyword-driven testing, the Test Analyst identifies and specifies keywords by analyzing the test basis. Keywords are classified into action keywords and verification keywords . Action keywords interact with the test object, such as executing a function, submitting data, or navigating through the application. Verification keywords represent assertions that check whether the actual result matches the expected result. The syllabus also states that keywords should contain a verb plus noun , use the imperative form , and be unique in meaning.
Option B , Enter Required Goods / Check PR Created , is strongest because both keywords use imperative verb-based wording. Enter Required Goods is an action keyword because it describes the business action performed by the Merchandiser. Check PR Created is a verification keyword because it checks the expected result: a Purchase Request has been created.
Option A is weak because Required Goods is only a noun phrase, not an action keyword. Option C has a reasonable action, but Is PR Created? is phrased as a question rather than an imperative verification keyword. Option D uses noun-style labels rather than clear executable keywords. Reference: CTAL-TA v4.0, Section 1.3.6 Developing Test Scripts Using Keyword-Driven Testing .
NEW QUESTION # 27
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