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What is MOST likely to be a consideration when implementing a new performance test tool?
Analysis:
When implementing a new performance test tool, it is crucial to consider the capabilities of the tool in relation to the system under test and the operational profiles.
B . The load generation suggested by the operational profiles of the users may exceed the available hardware and network bandwidth of the tool:
This is a key consideration because if the tool cannot generate the required load due to hardware or network limitations, it will not accurately simulate real-world conditions and may lead to invalid test results.
Explanation of Incorrect Options:
A . The lack of flexibility in the tool may mean that it is unable to generate incorrect inputs for all the different types of virtual user:
While flexibility is important, performance testing primarily focuses on load and stress, not on generating incorrect inputs.
C . The model used to describe the intended execution-time behavior of the system under test may not be compatible with the tool:
This is less likely to be a primary consideration compared to the tool's ability to handle the required load.
D . The language used for programming the system under test may be different from that used to develop the tool:
The programming language differences are typically not a critical issue for performance testing tools, as they interact with the system at a higher level.
The ISTQB CTAL-TTA syllabus discusses the considerations for selecting and implementing performance testing tools, highlighting the importance of ensuring the tool can handle the expected load.
Sources:
ISTQB-CTAL-TTA Syllabus
General knowledge on performance testing tools.
Which of the following statements about fault seeding tools is correct?
Fault seeding is a method used to evaluate the effectiveness of a testing process. Tools designed for fault seeding intentionally insert known defects into the source code, which are then supposed to be discovered during testing. The main purpose is not to check the input checking capabilities, support specification-based test design techniques, or assess maintainability of the software, but rather to gauge how well the testing process can identify and capture defects. By comparing the number of seeded faults that are found against the total number of faults inserted, test teams can get an insight into the effectiveness of their testing strategies and coverage. This method helps in understanding the detection capabilities of testing efforts and in identifying potential areas for improvement in test processes.
You are involved in testing a system in the medical domain. Testing needs to comply with the FDA requirements and is rated as being safety critical. A product risk assessment has been performed and various mitigation actions have been identified. Reliability testing is one of the test types that needs to be performed throughout the development lifecycle.
Based on the information provided, which of the following activities would need to be addressed in the test plan?
In the context of safety-critical systems, particularly in the medical domain, reliability is of utmost importance. For such systems, it is crucial to ensure that the software can handle unexpected input values and continue to operate without failure. This is essential to ensure patient safety and compliance with FDA requirements. Vulnerability scans (option A) are more related to security testing, whereas scalability (option C) and installation/de-installation (option D) are important but not specifically related to the reliability and safety criticality of the system in the medical domain.
You are working on a new product that will provide an online pizza ordering service. Not everyone wants to create a frequent-eater pizza account, so the user can either log in to their existing account, create an account or proceed as a ''guest" user. People with existing accounts have the option to update their accounts including changing address, changing credit card information and changing phone number. New account creation requires the user to enter their address, credit card information and phone number. This information Is validated to be sure the address matches the credit card information.
Once the user logs in, they are able to order their pizz
a. They can request up to five different pizzas and can select different ingredients on each. A user is allowed to pick up to 10 different ingredients per pizza. They can also select from a pre-defined set of ingredients as follows: ''meat lovers", ''all veggie', ''cheese please', and ''throw it all on".
The busiest day of the year for this product will be the day of the final football game of the professional season. In addition to the normal high load, the company will also be running a special on the ''cheese please" pizza (buy 3 get 2 more free). The new product will need to handle a load that Is expected to be twice as high as the load on the old product last year. Given this information, what is an important item that should be addressed In the architectural specification?
Considering the high load expected on the busiest day, particularly with a promotional offer like ''buy 3 get 2 more free'' on a pizza, addressing transaction concurrency in the architectural specifications is crucial. This ensures the system can handle multiple and simultaneous user transactions efficiently without data loss or service degradation. Proper handling of transaction concurrency is essential to maintain system integrity and responsiveness during peak times, which is a critical requirement for the online pizza ordering system on such a high-traffic day.
In order to create a shareable testing service from server or network traffic log data, which of the following types of tool would you use?
SELECT ONE OPTION
A service virtualization tool is used to simulate the behavior of specific components in heterogeneous component-based applications such as APIs, services, and third-party apps that are not readily accessible during development and testing stages. These tools help create stable, controllable, and predictable testing environments by mimicking the interactions with the missing components. This is particularly useful when dealing with server or network traffic log data to develop a shareable testing service that replicates the real systems' behavior without their actual implementations.
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