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You have conducted static analysis on several new modules for an existing product. You are now executing test cases and are seeing inconsistent problems including crashes. Intermittent error messages are appearing. Despite all your best efforts, you are not able to find reproducible scenarios to force these errors.
What problem in the code are you likely seeing?
Experiencing inconsistent problems such as crashes and intermittent error messages that do not have reproducible scenarios likely points to an issue with wild pointers. Wild pointers are pointers that do not point to a valid object of the appropriate type, often due to being uninitialized, pointing to deallocated memory, or having been overwritten accidentally.
A new Payroll system calculates the amount of tax that each employee must pay (TaxToPay) on their gross monthly salary (in (), and the net salary (NetSal) that they will receive after that amount of tax has been deducted It also calculates the amounts of tax (TaxPdYTD) and net salary (SalPdYTD) paid in the year to date (YTD) by adding them to the stored amounts from last month (for month 1 these will be zero), inputs Include Employee id (Empid) and Gross Salary this month (GrossSal). Tax Rate is looked up on the key of Employee Id, the amounts of tax and net salary paid in the year to date are looked up on the key of (Employee Id and [month * 1]) except that for month 1 they will be zero.
if both employees were paid the same in month 1 as in the current month 2. for which tax has now to be calculated, which data-driven input and expected output table is correct for this situation?
Table 1
Month Empid GrossSal TaxRate TaxToPay NetSal TaxPdYTD
2 1 2000 15 300 1700 600
2 2 2200 20 440 1760 880
Table 2
Month Empid GrossSal TaxRate TaxToPay NetSal SalPdYTD
2 1 2000 0.15 300 1700 600
2 2 2200 0.2 440 1760 880
Table 3
Month Empid GrossSal TaxToPay NetSal TaxPdYTD SalPdYTD
1 1 2000 300 1700 600 3400
1 2 2200 440 1760 880 3520
Table 4
Month Empid GrossSal TaxToPay NetSal TaxPdYTD SalPdYTD
2 1 2000 300 1700 600 3400
2 2 2200 440 1760 880 3520
SELECT ONE OPTION
Table 2 correctly represents the calculation of tax to pay and net salary for employees of a Payroll system, including accurate representation of tax rates as percentages (not whole numbers), and the correct year-to-date accumulation of salary paid, which aligns with the payroll system's operations as described. It accounts for the logical incrementation of cumulative figures and uses percentage representations for tax rates, which is a standard approach in payroll calculations .
You work for a small supermarket chain which has successfully operated a product inventory application for several years. It has recently purchased a data warehousing solution which provides tailorable profiling of product purchases with the aim of improving its marketing strategy. The decision has been made to host the data warehousing software and database on the same server used by the product inventory application. Based on this decision, two product risks have been cataloged:
The co-existence of both applications on the same server may introduce resource conflicts, resulting in an unacceptable impact on the functionality of the product inventory application
In the event of loss or corruption of product inventory data during transfer to the warehouse, it may not be possible to restore from back-up in the timeframe required, resulting in lost business.
Which TWO non-functional test types should be included in the test plan to mitigate both product risks?
In this scenario, the small supermarket chain faces two primary risks due to hosting both the data warehousing software and the product inventory application on the same server:
Resource Conflicts: Co-existence of both applications on the same server may introduce resource conflicts, potentially impacting the functionality of the product inventory application.
Data Loss/Corruption: In the event of loss or corruption of product inventory data during transfer to the warehouse, it may not be possible to restore from backup in the required timeframe, resulting in lost business.
Appropriate Non-Functional Test Types:
Reliability Testing (Option C):
Reliability testing ensures that the system performs consistently and accurately over time, even under load. This will help in identifying potential issues related to data loss or corruption and ensure that backup and restore processes work as expected within the required timeframe.
Stress Testing (Option C):
Stress testing evaluates the system's behavior under extreme conditions, such as peak loads. This will help in identifying resource conflicts and the system's ability to handle concurrent operations of both the data warehousing software and the product inventory application without performance degradation.
Explanation of Incorrect Options:
A . Compatibility Testing and Reliability Testing:
Compatibility testing is not directly relevant to the identified risks. Reliability testing is correct, but it needs to be paired with stress testing to address resource conflicts effectively.
B . Load Testing and Portability Testing:
Load testing alone does not cover the extreme conditions needed to identify resource conflicts. Portability testing is not relevant to the identified risks.
D . Maintainability Testing and Load Testing:
Maintainability testing is not directly relevant to the immediate operational risks. Load testing is part of the solution but needs to be paired with stress testing.
The ISTQB CTAL-TTA syllabus covers various non-functional testing types and their relevance to different risk scenarios. Reliability and stress testing are crucial in this context to ensure the system can handle concurrent applications and maintain data integrity under load.
Sources:
ISTQB-CTAL-TTA Syllabus
General knowledge on non-functional testing types and their applications.
A project to replace your company's sales and merchandising system has begun. The old system is still in production but is poorly documented and expensive to maintain: changing it has often produced a large quantity of defects. The new version will be developed using modern techniques and technology.
Requirements include:
Loading sales data, sent electronically from the stores each evening, into a central database where it is then available for other applications.
Producing sales reports for the merchandisers, whose job is to manage stock levels in stores.
Predictions of future demand for each product, based on a combination of sales history and forecasting parameters.
Requirements 1 and 2 are satisfied by the existing system and will be rewritten with no significant changes. Requirement 3 is new: these forecasting reports will be run overnight, and users will request them by entering simple parameters online during the day.
The sales data are loaded in an overnight batch run. There have been problems at peak periods when this run has taken longer than scheduled, so that dependent jobs could not finish before the start of the working day.
As a Technical Test Analyst, you have been asked to contribute to the project's Master Test Plan. The key stakeholders are:
The Merchandising Manager, who wants parameter entry to be quick and easy.
The Data Centre Manager, who requires the new batch jobs to take less time than the old ones.
No specific performance requirements have been given, either for the batch jobs or for online parameter entry.
Which TWO of the following will BEST meet the objectives of the stakeholders?
In this scenario, the key stakeholders have expressed concerns related to performance, specifically in terms of the batch jobs and the ease of parameter entry for forecasting reports. Given these requirements, performance testing is essential to meet their objectives.
Objectives of the Stakeholders:
Merchandising Manager: Wants parameter entry to be quick and easy.
Data Centre Manager: Requires the new batch jobs to take less time than the old ones.
Best Testing Approaches:
Performance Testing on Forecasting Report Parameter Data Entry Features (Option A):
Conducting performance testing on the parameter data entry features ensures that the process is quick and efficient, meeting the Merchandising Manager's requirement for ease of use.
Performance Testing on Data Load and Report Creation (Option B):
Conducting performance testing on data load and report creation will address the Data Centre Manager's concern by ensuring that the batch jobs complete in less time compared to the old system.
Explanation of Incorrect Options:
C . Agreeing acceptance criteria for modifiability, modularity, and reusability: These criteria are more related to code quality and maintainability rather than performance, which is not the primary concern of the stakeholders.
D . Agreeing acceptance criteria for performance based on quantified improvement: While this is important, it's not a testing activity itself but rather a prerequisite to performance testing.
E . Agreeing acceptance criteria based on operational profile models: This is also more related to planning and less about direct testing activities.
The ISTQB CTAL-TTA syllabus outlines the importance of performance testing and stakeholder requirements in test planning and execution. Ensuring that performance tests are aligned with the key stakeholder objectives is crucial for successful project outcomes.
Sources:
ISTQB-CTAL-TTA Syllabus
General knowledge on performance testing and stakeholder requirement analysis.
At which test level would reliability testing most likely be performed?
Reliability testing is aimed at verifying the software's ability to function under expected conditions for a specified period of time. It is typically conducted during system testing, where the software is tested in its entirety to ensure that all components work together as expected in an environment that closely simulates the production environment. Reliability testing is not typically associated with static testing, component testing, or functional acceptance testing, as these levels of testing do not address the overall behavior of the system over time.
