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| Section | Objectives |
|---|---|
| Topic 1: Testing Techniques for Test Analysis | - Specification-based techniques
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| Topic 2: Test Tools and Test Automation Support | - Tool support for test analysis and execution
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| Topic 3: Testing Process in the Test Analyst Role | - Test planning, monitoring, and control in advanced testing contexts
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| Topic 4: Reviews and Defect Management | - Defect lifecycle and reporting
|
| Topic 5: Testing of Software Quality Characteristics | - Non-functional quality aspects
|
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NEW QUESTION # 27
You are your employer's most experienced TA. The organisation performs root cause analysis (RCA) thoroughly, but infrequently and only on individual defects that went live at the highest of the five Severity levels.
After six months of live operation for one system, particular concern has been expressed about the volume of usability and security defects and there is a strong desire to reduce their quantities. You have recommended adding product quality characteristics, per ISO 25010, to the defect report template.
How might this recommendation support RCA?
Answer: A
Explanation:
The correct answer is B . The organization already performs RCA, but only infrequently and only for individual live defects at the highest severity level. That approach misses recurring lower-severity or medium- severity defect patterns, especially where many defects share the same quality concern. CTAL-TA v4.0 includes supporting root cause analysis with defect classification and aligns the syllabus with the ISO/IEC
25010:2023 product quality model, including quality characteristics such as functional suitability, usability, security, compatibility, and others.
Adding Quality Characteristic to the defect report template enables defects to be grouped by the quality attribute they affect. Combined with Severity , this allows the team to isolate clusters such as high-volume usability defects or serious security defects and then perform RCA on a meaningful defect group rather than only on isolated live failures. That directly supports the stated goal: reducing the quantities of usability and security defects.
Option A is partly useful because Pareto analysis can identify high-volume categories, but by itself it is defect counting, not the strongest RCA support. Option C concerns defect detection percentage, which is a different analysis objective. Option D is weak because "how the defect was fixed" may help investigation, but it does not provide the systematic classification needed to target recurring root causes. Reference: CTAL-TA v4.0, Sections 5.3.2 Supporting Root Cause Analysis with Defect Classification and Appendix F Software Quality Model .
NEW QUESTION # 28
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 # 29
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 # 30
You are developing test cases for an application which performs complex calculations and have decided to model these calculations on a spreadsheet, to determine expected results from inputs.
Which solution to the test oracle problem BEST describes the approach you are using?
Answer: B
Explanation:
The correct answer is D . A spreadsheet model used to calculate expected results is best classified as a pseudo- oracle when it has been developed independently from the test object and is used to produce expected outcomes for comparison with the system under test. CTAL-TA v4.0 explains that a test oracle is needed to determine expected results in dynamic testing, and that the test oracle problem occurs when a cost-effective oracle is not readily available because of factors such as data-related complexity, non-determinism, probabilistic behavior, or ambiguous requirements. The syllabus identifies pseudo-oracles as independently developed systems that fulfill the same specification as the test object, including simplified versions of the test object.
Here, the application performs complex calculations, and the spreadsheet is being used as an independent calculation model to determine expected results from the same inputs. That is the classic pseudo-oracle pattern. Option A is wrong because property-based testing verifies general input/output properties rather than exact expected calculation results. Option B is wrong because metamorphic testing checks relations between source and follow-up test cases, not a full expected result from a spreadsheet. Option C is not the named CTAL-TA oracle solution being used here. Reference: CTAL-TA v4.0, Section 1.3.4 Determining Test Oracles .
NEW QUESTION # 31
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: C
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 # 32
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