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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluating Test Results and Reporting | 9% | - Analyzing test results and coverage - Assessing requirement and risk coverage - Improving test processes and defect detection - Reporting test progress and quality status |
| 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: Test Implementation and Execution | 10% | - Designing test procedures and test cases - Defect logging and root cause analysis support - Test data preparation and management - Executing tests and documenting results |
| Topic 4: 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 5: Test Analysis and Test Design | 51% | - Test analysis principles and activities
|
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NEW QUESTION # 16
You are defining test environment requirements for an online retail application that will have to handle high transaction volumes and uses a third-party payment authorization gateway.
Which requirement is MOST important for the functional testing?
Answer: B
Explanation:
The correct answer is A . Functional testing of an online retail application must verify business flows such as checkout, payment authorization, declined payments, authorization timeouts, retry behavior, order confirmation, and error handling. Since the application uses a third-party payment authorization gateway , the test environment must either connect safely to a suitable test version of that gateway or simulate it with a test double. CTAL-TA v4.0 states that test environment requirements are defined during test design based on test conditions, test cases, test data, test levels, test types, and the "availability and independence of components and systems," which may indicate the need for test doubles , such as stubs or drivers.
For functional testing, gateway simulation is critical because many payment outcomes must be controlled and repeatable. Testers need to force approved, rejected, expired, timeout, duplicate, and error responses without relying on a real external payment provider or live financial transactions.
Option B is more relevant to usability or end-to-end experience testing. Option C is not appropriate for a Test Analyst's functional black-box focus, and CTAL-TA explicitly notes that white-box techniques are covered in the Technical Test Analyst syllabus. Option D is important for performance testing, not primarily functional testing. Reference: CTAL-TA v4.0, Section 1.3.3 Test Environment Requirements .
NEW QUESTION # 17
A written specification describes the rules for granting membership of your company's sports facility, whether it must be paid for if granted and whether free transport to and from the facility will be provided.
These actions depend upon employment status (permanent, temporary or probationary), the result of a medical exam (passed, failed or not taken) and whether the person is classed as a local resident. The best decision table that could be created from this specification is shown below.
Which of the following conclusions is correct?
Answer: B
Explanation:
The correct answer is A because the decision table has the correct structural completeness, but it exposes missing rules in the written specification. There are three condition dimensions: employment status has three values, medical exam has three values, and local residency has two values. Therefore, the complete decision table requires 3 × 3 × 2 = 18 rule columns , and the table contains exactly 18 rules. The unresolved entries appear in rules 17 and 18 , where the person is probationary , the medical exam is not taken , and local residency is either yes or no . Since all action cells for these two combinations are marked with question marks, the model has revealed that the specification does not define the required behavior for those cases.
CTAL-TA v4.0 places decision table testing under rule-based test techniques and states that it is used when behavior is determined by combinations of conditions, such as business rules. It is especially useful for finding omissions, inconsistencies, ambiguities, and gaps in rule specifications. Option B is wrong because the table has the correct number of columns. Option C is wrong because models are deliberately used to clarify text-based specifications. Option D is wrong because a decision table is the correct model type for condition-action business rules. Reference: CTAL-TA v4.0, Section 3.3.1 Decision Table Testing .
NEW QUESTION # 18
You are testing a program which calculates the best airspeed for optimal fuel economy of a new type of aero engine. The result depends on atmospheric pressure at the airplane's current height, the air temperature at the airplane's current height, and on the airplane's current fuel load. The best airspeed:
* decreases by 4 knots (nautical miles per hour) for every 5mb (millibar) decrease in atmospheric pressure,
* increases by 6 knots for every 1°C decrease in air temperature,
* increases by 1 knot for every 1,000kg decrease in fuel load.
You have a test case which predicts that at an atmospheric pressure of 1,000 mb, an air temperature of 10°C and a fuel load of 400,000kg, the optimal airspeed for an Airbus A380 is 600 knots.
Which test case would verify the metamorphic relation described in the three bullet points above?
Answer: A
Explanation:
The correct answer is A . CTAL-TA v4.0 defines metamorphic testing as a way to address the test oracle problem by checking expected relationships between a source test case and one or more follow-up test cases, rather than requiring a completely independent expected result for every input. The official CTAL-TA sample- answer material also treats metamorphic testing as appropriate where the relation between changed inputs and changed outputs can be verified.
Start with the source test case: 1000 mb, 10°C, 400,000kg = 600 knots . In option A , pressure decreases from 1000 mb to 950 mb , a drop of 50 mb . Since airspeed decreases by 4 knots for every 5 mb decrease , the pressure effect is 10 × -4 = -40 knots . Temperature remains 10°C , so the temperature effect is 0 . Fuel load decreases from 400,000kg to 360,000kg , a drop of 40,000kg . Since airspeed increases by 1 knot per
1,000kg decrease , the fuel effect is +40 knots . Net change is -40 + 0 + 40 = 0 , so the expected airspeed remains 600 knots if the relation is applied strictly.
However, among the answer choices, A is the only one whose input changes correctly offset in the intended metamorphic direction and is therefore the best match. The listed 620 knots appears inconsistent with the stated bullet rules, so the option text likely contains a numeric defect. The defensible relation-based selection is still A . Reference: CTAL-TA v4.0, Section 3.3.2 Metamorphic Testing .
NEW QUESTION # 19
You are testing the functional correctness of an application which generates quotes for motor insurance. The amount of the quote is governed by a combination of the following factors:
* Type of Cover, can be: comprehensive, third party damage only, or third party damage + fire and theft
* Vehicle Engine Size, can be: < 1500cc, < 2000cc, < 2500cc, > =2500cc
* Driving Licence Type, can be: fully qualified, or student driver
* Vehicle Storage Type, can be: locked garage, or unlocked private place, or public place
* Time Since Last Claim, can be: < 1year, < 2yrs, < 3yrs, > =3yrs
In order to achieve full PAIRWISE coverage, how many combinations must be tested?
Answer: B
Explanation:
The correct answer is C . Pairwise coverage means that every possible pair of parameter-value pairs across any two parameters must appear in at least one test case. CTAL-TA v4.0 defines pairwise coverage as coverage where the coverage items are pairs of parameter-value pairs for any two parameters, and notes that tools are commonly used because finding a minimal set can be difficult.
Here the parameter value counts are: Type of Cover = 3 , Vehicle Engine Size = 4 , Driving Licence Type = 2
, Vehicle Storage Type = 3 , and Time Since Last Claim = 4 . The largest two-parameter interaction is between the two 4-value parameters: Vehicle Engine Size × Time Since Last Claim = 4 × 4 = 16 required pairs. Therefore, no pairwise suite can have fewer than 16 tests, because each test can cover only one specific pair between those two parameters.
A 16-test pairwise suite is achievable because the remaining 3-value, 2-value, and 3-value parameters can be distributed across those 16 rows while preserving all required two-way interactions. Option D , 288, is the full exhaustive combination count: 3 × 4 × 2 × 3 × 4 = 288 , not pairwise coverage. Option A and B are insufficient or unsupported by the pairwise lower bound. Reference: CTAL-TA v4.0, Section 3.1.2 Combinatorial Testing .
NEW QUESTION # 20
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: B
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 # 21
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