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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test Analysis and Test Design | 51% | - Test analysis principles and activities
|
| Topic 2: Test Analyst Tasks in Risk-Based Testing | 15% | - Risk-based test prioritization and scope definition - Regression testing scope based on change impact - Product risk analysis and assessment |
| Topic 3: The Test Analyst Role in the Software Development Lifecycle | 15% | - Work products and stakeholder communication - Contribution to test strategy and planning - Test analyst tasks across SDLC models |
| Topic 4: Evaluating Test Results and Reporting | 9% | - Reporting test progress and quality status - Analyzing test results and coverage - Improving test processes and defect detection - Assessing requirement and risk coverage |
| Topic 5: Test Implementation and Execution | 10% | - Defect logging and root cause analysis support - Designing test procedures and test cases - Test data preparation and management - Executing tests and documenting results |
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NEW QUESTION # 23
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 # 24
You have been assigned as Test Analyst on a project that will deliver quotes for motor insurance. The amount quoted depends upon the combined values of twelve variables, that are resolved by a set of business rules.
What should be your MAIN task during the test analysis activity?
Answer: D
Explanation:
The correct answer is C because the question asks for the main task during test analysis , not test implementation, execution, or regression maintenance. CTAL-TA v4.0 states that during test analysis the Test Analyst checks the completeness of the test basis, gathers additional information relevant for testing, evaluates the test basis for defects and testability, and may model system behavior according to the test techniques to be applied. It also states that the TA defines and prioritizes test conditions traceable to the test basis.
In this motor insurance quoting system, the critical test basis is the combination of twelve variables resolved by business rules. The Test Analyst therefore needs to model how the quote is produced, most likely using a rule-based or combinatorial technique depending on how the rules are structured. That modeling exposes test conditions such as valid rule combinations, boundary cases, conflicting rules, missing rules, and high-risk variable interactions.
Option A relates more to selecting tests for execution, not analysis. Option B is regression test selection or adaptation, which CTAL-TA places under design/maintenance activities for regression tests, not the main initial analysis task. Option D is feedback from prior execution activity and is not the central task when analyzing a new rule-driven quote engine. Reference: CTAL-TA v4.0, Sections 1.2.1 Test Analysis and 3 Test Analysis and Test Design .
NEW QUESTION # 25
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 # 26
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: C
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 # 27
Your project is developing an application to generate quotes for motor insurance. The calculation requires a wide range of input data and a reliable model of it has been built in a spreadsheet. There will not be enough time to get adequate functional correctness coverage from the base choice or pairwise techniques, so you have decided to do some random testing based on a probability distribution of variable values that is weighted towards their business criticality.
Which limitation of random testing should you be MOST concerned about?
Answer: B
Explanation:
The correct answer is A because the major risk in this scenario is that randomly generated input combinations may fail to represent semantically meaningful insurance situations . CTAL-TA v4.0 defines random testing as selecting test data from the input domain according to a specified probability distribution, and explicitly lists its limitations as including "neglecting data semantics" and "potentially missing defects related to data meaning." In a motor insurance quote engine, defects often arise not merely from raw value combinations, but from the business meaning of combinations: driver age, vehicle type, claims history, postcode risk, policy excess, occupation, and coverage options may interact in ways that are legally or commercially significant.
Random testing weighted by business criticality can improve sampling relevance, but it still may not deliberately target these meaningful relationships unless they are explicitly modeled.
Option B is a known limitation, but redundancy is less critical here because the distribution can be controlled and the main concern is business-rule correctness. Option C is weakened because a reliable spreadsheet model already exists and can act as an oracle. Option D is incorrect because the issue is not simply validation versus verification; CTAL-TA notes that random testing distributions can support either purpose depending on how they are chosen. Reference: CTAL-TA v4.0, Section 3.1.3 Random Testing , under Test Analysis and Test Design .
NEW QUESTION # 28
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