Using Models to Detect Defects CTAL-TA Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A team is adopting model-based testing for a legacy system. They have created a detailed model of the system's behavior. However, they are concerned that the model may not accurately reflect the actual system due to undocumented changes over the years. What is the most significant risk of this situation?

   • AThe model may not match the actual system, leading to test cases that do not reflect real behavior and missing defects.
   • BThe model will generate too many test cases, overwhelming the testing team.
   • CThe model may be too complex to maintain, leading to high maintenance costs.
   • DThe model will require specialized tools that are not available in the organization.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   What is a common challenge when using models for defect detection?

   • AModels can be expensive to create and maintain, and may not accurately reflect the actual system
   • BModels are only useful for small systems
   • CModels eliminate the need for any other testing techniques
   • DModels are always up-to-date with the system
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which type of model is best suited for detecting defects related to data integrity and relationships?

   • AState model
   • BUse case model
   • CProcess model
   • DData model
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5. 14foundation · easy

   Which type of model is most appropriate for detecting defects related to the order of operations in a system?

   • AData model
   • BState model
   • CProcess model
   • DClass diagram
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6. 15expert · hard

   A team is testing a system that processes loan applications. The system has a complex workflow with multiple approval stages and conditions. The team wants to use a model to detect defects in the workflow logic, such as missing approval steps or incorrect routing. Which type of model is most suitable?

   • AA state model showing the different states of a loan application (e.g., submitted, under review, approved, rejected).
   • BA decision table listing all combinations of loan attributes and approval outcomes.
   • CA data flow model showing how loan data moves through the system.
   • DA process model showing the sequence of activities and decision points in the loan approval workflow.
   Reveal Solution Discussion Select an answer first