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ISQI ISTQB Certified Tester Advanced Level Test Analyst (CTAL-TA v4.0) Sample Questions (Q40-Q45):

NEW QUESTION # 40
You are working on a project to build an application that will handle insurance claims. The main requirements for the system are that it shall:
* Allow users to enter details of claims that have been submitted by insured customers.
* Take each claim through a workflow that will allow an assessor to approve the request, reject it or request clarification from the claimant.
* Send approved requests to the accounts payable system for payment.
The solution is being developed according to the company's standard V-model methodology. The requirements are clearly documented and include a business process model. Operational profiles have been created to guide performance testing.
A risk-based approach to testing is used; frequency of use and role of the user are major factors in feature risk assessment.
System testing has almost finished but a major change to the approval workflow is just about to be delivered.
A standard regression test pack has not yet been established, but ad-hoc regression testing has already been performed on earlier builds.
As a TA. you have updated the list of product risks and must now decide the scope of the regression testing.
Which pair of techniques will be MOST effective for selecting the regression tests?
a) History-based, driven by the results of the regression tests run so far b) Risk-based, driven by the updated list of product risks and its traceability to the tests c) Operational profile-based, driven by the likely patterns of use of the relevant transactions d) Requirement traceability matrix-based, driven by the links from affected requirements to related tests e) Impact analysis, driven by consultation with technical stakeholders to identify what might be affected.

Answer: C

Explanation:
The correct answer is B : risk-based selection and impact analysis . The scenario says a risk-based approach is already used and that the Test Analyst has updated the list of product risks. CTAL-TA v4.0 states that risk- based regression test selection uses traceability from the regression suite to a risk register; when a change is made and the risk register is updated, the Test Analyst adjusts the regression suite to cover the highest risk levels. That directly matches technique b .
The second required technique is impact analysis because the change is a major modification to the approval workflow. The TA must understand which workflow states, transitions, claims data, interfaces, assessor actions, clarification paths, rejection paths, approval paths, and accounts payable handoff could be affected.
CTAL-TA states that impact analysis can be used for regression test selection when the TA knows which tests interact with changed configuration items, and that regression scope must be reviewed every cycle because it may be impossible to execute all regression tests.
Option a is weak because prior regression was ad hoc and no standard regression pack exists, so history is unreliable. Option c helps performance or usage-flow prioritization but is not as directly targeted as updated product risk plus impact analysis. Option d is useful, but technical impact analysis is stronger for a major workflow change.


NEW QUESTION # 41
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: A

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 # 42
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: B

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 # 43
Your company, which specializes in medical software, has designed an application for use on smartphones and tablets, that calculates a person's BMI (Body Mass Index). How can a test analyst BEST contribute to adaptability testing for this application?

Answer: A

Explanation:
The correct answer is C . Adaptability testing concerns whether a component or system can be adapted to different or evolving hardware, software, operational, or usage environments. The ISTQB Glossary defines adaptability as the degree to which a system can be adapted to various or evolving hardware, software, or other operational or usage environments. CTAL-TA v4.0 also places adaptability within the Test Analyst's user-facing non-functional testing scope, alongside usability, installability, and interoperability.
For a BMI application intended for smartphones and tablets, the best Test Analyst contribution is to design tests across the intended target devices, screen sizes, operating-system versions, browsers or WebViews if applicable, input methods, and device configurations. This directly checks whether the application remains usable and functional when adapted to its supported mobile and tablet environments.
Option A is coexistence testing , because it checks whether the BMI app adversely affects other health applications on the same device. Option B is closer to installability/update testing , because it checks launching and functioning after an updated version is downloaded. Option D is functional correctness testing
, because it checks whether the BMI calculation result is correct for given inputs. Reference: CTAL-TA v4.0, Testing Quality Characteristics , adaptability under user-facing non-functional quality characteristics.


NEW QUESTION # 44
The following minimized decision table shows the rules for rewarding members of a hotel's loyalty scheme who have booked a room, according to the type of room (luxury or not) and/or whether they have prepaid for breakfast (yes or no). The loyalty scheme has tiers Bronze, Silver and Gold. All combinations are feasible.

Using the checksum procedure, what do you notice about the structure of the minimized table?

Answer: C

Explanation:
The correct answer is B . In CTAL-TA v4.0 decision table testing, the checksum procedure is used to detect structural problems in a minimized decision table. A rule without any "-" condition represents one full-table combination. Each "-" multiplies that rule's checksum by the number of possible values for that condition. If the minimized-table checksum is higher than the original-table checksum, some rules overlap or additional rules exist; if it is lower, the table is incomplete; if equal, the minimization may be structurally correct.
The original full table has 3 loyalty tiers × 2 luxury-room values × 2 breakfast values = 12 feasible combinations . The minimized rules score as follows: Rule 1 G/Y/- = 2 , Rule 2 G/N/- = 2 , Rule 3 S/Y/- = 2
, Rule 4 S/-/- = 4 , Rule 5 B/-/Y = 2 , Rule 6 B/-/N = 2 . Total checksum = 2 + 2 + 2 + 4 + 2 + 2 = 14 . Since
14 > 12 , the minimized table cannot be structurally clean. The overlap is visible: Rule 3 covers Silver + Luxury + either breakfast value , while Rule 4 covers Silver + any room type + any breakfast value , so the Silver/Luxury combinations are covered twice. Option C is wrong because all condition values are represented. Option D alone is weaker than B , because the actual symptom here is overlap. Reference: CTAL- TA v4.0, Section 3.3.1 Decision Table Testing .


NEW QUESTION # 45
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