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| Section | Objectives |
|---|---|
| Topic 1: Software Defect Prevention | - Defect Prevention Practices - Supporting Phase Containment - Mitigating Recurrence of Defects |
| Topic 2: Testing Quality Characteristics | - Usability Testing - Flexibility Testing - Compatibility Testing - Functional Testing |
| Topic 3: The Tasks of the Test Analyst in Risk-Based Testing | - Risk Control - Risk Analysis |
| Topic 4: Test Analysis and Test Design | - Experience-based Testing - Behavior-Based Test Techniques - Data-Based Test Techniques - Rule-Based Test Techniques |
| Topic 5: The Tasks of the Test Analyst in the Test Process | - Tasks Related to Work Products - Involvement in Test Activities - Testing in the Software Development Lifecycle |
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NEW QUESTION # 30
You are testing a program which should calculate the area of a trapezium and have decided to use metamorphic testing. The formula Area = (((a + b) / 2) * h) where a and b are the lengths of the two parallel sides, and h is the height when the parallel sides are horizontal.
Which ONE of the following would be an appropriate metamorphic relation?
Answer: D
Explanation:
The correct answer is B , but the question is slightly under-specified as written. CTAL-TA v4.0 defines a metamorphic relation as a property that describes how a change in test input is reflected in the expected result.
It is used to create follow-up test cases from a source test case and then evaluate the source and follow-up results jointly.
For the trapezium formula, if b changes while a and h remain unchanged, the area must change, not the height. Therefore, options C and D are structurally wrong because changing an input side length does not imply a change in h . Option A is also weak because it mixes an absolute increase in b with a fixed percentage increase in area, without considering the original values of a , b , and h . Option B is the only option that correctly expresses the expected-result relationship: a percentage increase in b causes a predictable percentage increase in area . Strictly, the exact percentage depends on the contribution of b to a + b ; the shown 2/3 relation is valid when b / (a + b) = 2/3 . Reference: CTAL-TA v4.0, Section 3.3.2 Metamorphic Testing .
NEW QUESTION # 31
As an experienced Test Analyst, you have been asked to collaborate in usability test sessions for a new shopping cart application. In which way would you BEST contribute to this activity?
Answer: B
Explanation:
The correct answer is C because the Test Analyst's strongest contribution to usability test sessions is to help design realistic, representative scenarios that users will attempt during the session. CTAL-TA v4.0 states that usability test sessions involve future users or representatives attempting predefined tasks to determine whether those tasks can be completed effectively, efficiently, and satisfactorily. It further specifies that the Test Analyst may contribute by designing scenarios for usability sessions according to personas, user groups, or operational profiles.
For a shopping cart application, appropriate scenarios could include finding a product, adding multiple items, applying a discount code, changing quantities, selecting delivery options, abandoning and resuming a cart, and completing checkout. These scenarios expose usability barriers in the user journey rather than merely validating functional output.
Option A is too narrow: WAMMI is a questionnaire used to measure user satisfaction, and the Test Analyst may help design or evaluate questionnaires, but simply filling one out is not the best contribution. Option B incorrectly shifts the activity from user-centered usability evaluation to tester execution, and accessibility is only one aspect of usability. Option D is functional correctness testing, not usability testing. Reference:
CTAL-TA v4.0, Section 4.2 Usability Testing .
NEW QUESTION # 32
The following use case diagram shows the process of raising a Purchase Request (PR) and getting it authorized. Details are entered in batches; any that fail validation will be rejected and must be re-entered. The details will indicate whether the request is a normal one or an emergency one. Normal requests must be authorized by the department manager, who may refuse to do so. Emergency requests will be automatically authorized and reported to the manager.
The test strategy states that:
* all combinations of extensions and exceptions, as well as the main scenario, shall be tested
* loops shall get simple loop coverage where the maximum number of iterations for validation exceptions is 3 and the typical number is 2.
What is the minimum quantity of test cases that will be needed to obtain this coverage?
Answer: D
Explanation:
The correct answer is B , because the minimum required set is 6 test cases . CTAL-TA v4.0 explains that scenario-based testing derives tests from scenario models, including the main scenario plus alternative and exception flows. It also states that simple loop coverage requires testing a loop when it is skipped, executed exactly once, executed more than once using a typical number of iterations, and executed with the maximum number of iterations if possible. Here, the validation exception loop has maximum 3 and typical 2 , so the validation loop must be covered with 0, 1, 2, and 3 iterations.
The feasible scenario combinations are:
* Main scenario: normal request, validation succeeds, manager approves.
* Validation exception only, then normal approval.
* Emergency request only.
* Normal request refused by manager only.
* Validation exception combined with emergency request.
* Validation exception combined with manager refusal.
The validation loop iteration coverage can be distributed across the validation-related cases: one case with 1 failed validation, one with 2 failed validations, and one with 3 failed validations. The main scenario supplies the 0-iteration case. Emergency and manager-refusal scenarios cannot be combined because an emergency request bypasses normal manager authorization. Therefore, fewer than six tests would miss either a required feasible extension/exception combination or one of the required loop-coverage cases. Reference: CTAL-TA v4.0, Scenario-Based Testing and Simple Loop Coverage .
NEW QUESTION # 33
The following decision table shows the rules for sending a package. Same day delivery will not be provided for big packages. All combinations of same day delivery and international destination have been removed as they are infeasible.
How many columns will the table have after all possible minimization has been performed?
Answer: D
Explanation:
The correct answer is C because the fully minimized decision table has 8 columns . CTAL-TA v4.0 states that decision-table minimization derives an equivalent table with fewer rules by merging action-equivalent rules using the don't-care operator "-"; action-equivalent rules that differ in only one condition and cover all possible values of that condition may be merged. It also recommends disregarding or removing infeasible rules before merging.
For Small packages, columns 1 and 3 are action-equivalent: both charge 0% , provide insurance, and deliver same day. They differ only in High value , so they merge into one rule. Columns 2 and 4 cannot merge with them because same-day delivery and/or insurance differ. Therefore Small reduces from 4 rules to 3 . For Average packages, the same structure applies: columns 5 and 7 merge, while 6 and 8 remain separate.
Average also reduces from 4 rules to 3 . For Big packages, same-day is N/A , so columns 9 and 10 are action- equivalent and merge; columns 11 and 12 also merge. Big reduces from 4 rules to 2 .
Total minimized columns = 3 + 3 + 2 = 8 . Option A misses the valid merges for same-day insured Small and Average packages. Option D over-minimizes by combining rules that are not action-equivalent. Reference:
CTAL-TA v4.0, Section 3.3.1 Decision Table Testing .
NEW QUESTION # 34
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 # 35
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