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ISQI CTAL-TA_V4.0 Exam Syllabus Topics:

SectionObjectives
Topic 1: Testing Quality Characteristics- Flexibility Testing
- Compatibility Testing
- Functional Testing
- Usability Testing
Topic 2: Test Analysis and Test Design- Experience-based Testing
- Rule-Based Test Techniques
- Behavior-Based Test Techniques
- Data-Based Test Techniques
Topic 3: The Tasks of the Test Analyst in the Test Process- Tasks Related to Work Products
- Testing in the Software Development Lifecycle
- Involvement in Test Activities
Topic 4: The Tasks of the Test Analyst in Risk-Based Testing- Risk Analysis
- Risk Control
Topic 5: Software Defect Prevention- Supporting Phase Containment
- Mitigating Recurrence of Defects
- Defect Prevention Practices

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ISQI ISTQB Certified Tester Advanced Level Test Analyst (CTAL-TA v4.0) Sample Questions (Q25-Q30):

NEW QUESTION # 25
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: B

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 # 26
You are working on a project to replace an old sales and merchandising system with a new system that will be based on modern platforms. The old system Is still in production but is poorly documented and expensive to maintain. The new version will be developed using modern technology. The main requirements for the system are that it shall:
* Load sales data, sent electronically from the stores each evening, into a central database.
* Produce actual sales reports for the merchandisers, whose job is to manage stock levels in stores.
* Produce sales forecast reports based on a combination of sales history and forecasting parameters. The parameters will be entered by the merchandisers into a browser-based front end and the reports will be produced overnight. The users will be able to see the reports next day, on screen or in print, by requesting this through the browser.
Requirements 1 and 2 are satisfied by the existing system and will be rewritten with no significant changes.
Requirement 3 is new. The development will use your company's Agile SDLC, with 2-week iterations.
Technical skill levels in the team are high and the approach to automate test execution is aggressive. Each requirement will be specified with user stories, will be released only when complete, and will need more than one iteration. The main business benefit will come from requirement 3, which depends on the other two requirements, and the stakeholders are keen to get this into production as soon as possible.
Release planning has begun for requirement 3 and you need to know at a high level what the testing scope will be, to ensure that the correct resources will be available. Which functional test techniques will be MOST effective for this release?
a) Domain testing
b) Combinatorial testing
c) Random testing
d) CRUD testing
e) Scenario-based testing
f) Decision table testing
g) Exploratory testing

Answer: C

Explanation:
The correct answer is C : domain testing, scenario-based testing, and decision table testing . Requirement
3 is new and business-critical. It involves entering complex forecasting parameters, generating reports overnight from sales history and parameters, and then viewing or printing those reports through the browser.
Domain testing is appropriate because forecasting parameters and sales-history values form input domains with partitions and boundaries. CTAL-TA v4.0 states that domain testing extends equivalence partitioning and boundary value analysis to domains with multiple parameters and complex partitions.
Scenario-based testing is also essential because the requirement describes an end-to-end user/business flow:
enter parameters, run overnight report generation, request report output, view or print result. CTAL-TA states that scenario-based testing evaluates behavior in realistic workflows and is often used in system and acceptance testing from the user's perspective.
Decision table testing fits because forecast calculation behavior is likely governed by business rules involving sales history, parameters, thresholds, and report-generation rules. CTAL-TA classifies decision table testing as a rule-based technique for stateless business rules. Random testing is inferior because the requirement is clearly specified, not poorly understood. CRUD testing is not the strongest match because Requirement 3 is not mainly an entity lifecycle problem.


NEW QUESTION # 27
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 # 28
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: C

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 # 29
You are working on a project to build a purchasing system. The main requirements for the system are that it shall:
* Allow users to enter details of items that they wish to have purchased and, from these details, create a purchase request.
* Take each purchase request through a workflow that will allow the requestor's line manager to approve the request, reject it or return it for clarification / modification.
* Forward approved requests to the Purchasing Department.
* Allow purchasers to find the best available supplier for each approved request and place the request on that supplier as a purchase order.
The solution is being developed according to the company's traditional V-model methodology. The requirements are clearly documented and include a business process model.
System testing has finished and the test manager has asked you, the senior TA, to identify any parts of the product that should be focused on during acceptance testing. The results of this may be used to adjust the acceptance test plan.
You are using defect cluster analysis, only counting defects with severity levels 1 to 3, ignoring low severity levels 4 and 5. Function point analysis was used for estimating, so you have used function points as the unit of size for the various functional areas of the product. No numeric estimates of expected defect quantities were made for them individually but, as a result of product risk analysis, these functional areas have been ranked according to the amount of product risk that was predicted in them, with risk ranking 1 being the highest and
5 the lowest; the thoroughness of the testing performed so far has been proportional to that. The results are presented in the table below.
Functional area
Total function points
Product risk ranking
Defects found
Purchase Request entry
2000
2
30
Purchase Request workflow
1500
4
15
Purchase Request authorisation
1000
5
25
Supplier identification
2000
1
30
Purchase Order creation
1000
3
30
Which functional areas would you recommend for more test focus in acceptance testing?
a) Purchase Request entry
b) Purchase Request workflow
c) Purchase Request authorization
d) Supplier Identification
e) Purchase Order creation

Answer: B

Explanation:
The correct answer is C because defect cluster analysis must not be based on raw defect counts alone. CTAL- TA v4.0 states that after testing, the Test Analyst can identify actual defect-prone areas and compare predicted versus actual defect clusters; where discrepancies appear, more rigorous testing may be needed in those areas.
Here, size must be normalized using function points. The defect densities are: Purchase Request entry 30
/2000 = 15 defects per 1000 FP , Purchase Request workflow 15/1500 = 10 defects per 1000 FP , Purchase Request authorization 25/1000 = 25 defects per 1000 FP , Supplier identification 30/2000 = 15 defects per
1000 FP , and Purchase Order creation 30/1000 = 30 defects per 1000 FP .
The strongest actual clusters are therefore Purchase Order creation and Purchase Request authorization .
This is even more significant because authorization had the lowest predicted product risk ranking, 5 , so it should not have produced such a high defect density if the original risk assessment and test focus were accurate. Purchase Order creation also shows the highest defect density despite only medium predicted risk, ranking 3. Supplier identification and Purchase Request entry both have 30 defects, but they are larger areas and have only 15 defects per 1000 function points; Supplier identification was also the highest predicted risk area, so more defects there are less surprising. Reference: CTAL-TA v4.0, Software Defect Prevention , test result analysis and predicted-versus-actual defect cluster analysis.


NEW QUESTION # 30
......

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