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CTAL-TTA_Syll19_4.0熱門認證 - CTAL-TTA_Syll19_4.0考古題更新
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最新的 Technical Test Analyst CTAL-TTA_Syll19_4.0 免費考試真題 (Q42-Q47):
問題 #42
Which of the following statements best captures the difference between data-driven and keyword-driven test automation?
- A. Keyword-driven test automation is easier to develop than data-driven test automation.
- B. Data-driven test automation is more maintainable than keyword-driven test automation.
- C. Data-driven test automation extends keyword-driven automation by defining data corresponding to business processes.
- D. Keyword-driven test automation extends data-driven automation by defining keywords corresponding to business processes.
答案:D
解題說明:
Keyword-driven test automation is a framework where test cases are written using keywords that represent the actions or tests to be performed on the system. This is an extension of data-driven test automation, which focuses on separating test scripts from the test data, allowing the same test script to be run with various sets of data. Keyword-driven test automation further abstracts the process by allowing tests to be written in a more human-readable form that corresponds to business processes. This approach can improve maintainability and readability of test cases, making them easier to understand and modify. It's not necessarily the case that one is more maintainable or easier to develop than the other (Options C and D); rather, they serve different purposes in test automation strategy.
問題 #43
Within an embedded software project, the maintainability of the software is considered to be critical. It has been decided to use static analysis on each delivered software component.
Which of the following metrics is NOT a maintainability metric typically used with static analysis?
- A. Number of Lines of Code (LOG)
- B. Comment Frequency
- C. Number of Function Calls
- D. Mean Time Between Failures
答案:D
解題說明:
Maintainability metrics typically used with static analysis include measures that reflect the complexity and understandability of the code, such as Number of Lines of Code (LOC), Number of Function Calls, and Comment Frequency. These metrics help in assessing how easily the software can be understood, modified, and maintained. Mean Time Between Failures (MTBF), on the other hand, is a reliability metric. It measures the time elapsed between inherent failures of a system during operation. MTBF is used to predict the system's reliability and is not directly related to the maintainability of the code. Reliability metrics like MTBF would be used in the testing phase to measure the operational reliability of the system rather than during static analysis for maintainability assessment.
問題 #44
Consider the code fragment provided below:
The comment frequency of the code fragment is 13%.
To which non-functional quality characteristic does a good level of comment frequency especially contribute?
- A. Performance Efficiency
- B. Usability
- C. Portability
- D. Maintainability
答案:D
解題說明:
The comment frequency in a code fragment relates to the number of comments in relation to the code size. A good level of comment frequency can significantly contribute to the maintainability of the software.
Maintainability is a non-functional quality characteristic that refers to the ease with which a software system can be modified to correct defects, update features, improve performance or other attributes, or adapt to a changed environment. Comments in the code help developers understand the logic, purpose, and functionality of the code, which is crucial when modifications are required. This does not directly contribute to portability, usability, or performance efficiency, which are concerned with different aspects of the software's operation and user interaction.
問題 #45
Which of the following defect types is NOT an example of a defect type typically found with API testing?
- A. Data handling issues
- B. Loss of transactions
- C. High architectural structural complexity
- D. Timing problems
答案:C
解題說明:
In the context of API testing, the defect types generally found are related to the specific interactions with the API, such as issues with data formatting, handling, validation, and the sequencing or timing of API calls.
Architectural structural complexity is not typically a defect that would be identified at the API testing level.
API tests are concerned with the interface and immediate integration points, not the overarching system architecture, which would be more relevant to design or system-level testing.
問題 #46
Assume you are involved in testing a Health Insurance Calculation system.
At the main screen one can enter information for a new client. The information to be provided consists of last name, first name and date of birth. After confirmation of the information, the system checks the age of the potential new client and calculates a proposed premium.
The system also has the option to request information for an existing client, using the client's ID number.
A keyword-driven automation approach is being used to automate most of the regression testing.
Based on the information provided, which TWO of the options provided would be the MOST LIKELY keywords for this application? (Choose two.)
- A. Exclude_Client
- B. Select_Client
- C. Print_Premium
- D. Enter_Client
- E. Remove_Client
答案:B,D
解題說明:
Considering the functionalities described for the Health Insurance Calculation system, the keywords would represent the main actions that can be performed in the system. 'Enter_Client' would be a keyword for entering new client information, which is a primary feature of the system as described. 'Select_Client' would be used to retrieve information for an existing client using the client's ID number, which is another main functionality. Other options such as 'Remove_Client', 'Print_Premium', and 'Exclude_Client' are not explicitly mentioned in the provided system functionalities, therefore, 'Enter_Client' and 'Select_Client' are the most likely keywords for automation.
問題 #47
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