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ISTQB Certified Tester Advanced Level Technical Test Analyst Sample Questions (Q100-Q105):

NEW QUESTION # 100
As a technical test analyst, you are involved in a risk analysis session using the Failure Mode and Effect Analysis technique. You are calculating risk priorities. Which of the following are the major factors in this exercise?

A. Likelihood and impact
B. Functionality, reliability, usability, maintainability, efficiency and portability
C. Severity and priority
D. Financial damage, frequency of use and external visibility

Answer: A

Explanation:
Failure Mode and Effect Analysis (FMEA) is a structured approach to identify and address potential failures in a system, product, process, or service. The major factors involved in calculating risk priorities in FMEA are typically the severity of the potential failure, its likelihood of occurrence, and the ability to detect it. These factors are usually combined to form a Risk Priority Number (RPN) for each potential failure mode identified.
However, the specific factors mentioned in the options like functionality, reliability, usability, maintainability, efficiency, and portability are quality characteristics that could be considered in an FMEA analysis but are not directly used for calculating risk priorities. Likewise, financial damage, frequency of use, and external visibility might influence the severity or impact of a failure, but they are not standard factors in calculating risk priorities in the context of FMEA. Therefore, the most relevant factors for calculating risk priorities in an FMEA context would typically be the likelihood of the failure occurring and its potential impact, which aligns with option C: Likelihood and impact.
It's important to note that while these explanations are based on general principles and practices related to fault seeding and FMEA, the specifics might vary slightly in different contexts or with different methodologies.

NEW QUESTION # 101
Which of the following statements best captures the difference between data-driven and keyword-driven test automation?

A. Keyword-driven test automation extends data-driven automation by defining keywords corresponding to business processes.
B. Keyword-driven test automation is easier to develop than data-driven test automation.
C. Data-driven test automation is more maintainable than keyword-driven test automation.
D. Data-driven test automation extends keyword-driven automation by defining data corresponding to business processes.

Answer: A

Explanation:
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.

NEW QUESTION # 102
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?

A. Agree acceptance criteria for performance of the forecasting report parameter data entry features, based on operational profile models.
B. Conduct performance testing on the data load and report creation, in parallel with functional system testing.
C. Agree acceptance criteria for modifiability, modularity, and reusability, and measure these for change requests implemented after development begins.
D. Conduct performance testing on the forecasting report parameter data entry features, in parallel with functional system testing.
E. Agree acceptance criteria for performance of the data load and report creation, based on a quantified improvement over the current system.

Answer: B,D

Explanation:
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.
References:
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.

NEW QUESTION # 103
which statement about test automation is TRUE7
SELECT ONE OPTION

A. Test automation will increase the intervals at which continuous deployment to production can be achieved
B. When continuous deployment is fully implemented it will be necessary to automate only unit and integration tests
C. When continuous deployment is fully implemented there will be no need for manual testing
D. Test automation levels can be influenced by and can constrain the frequency of code deployments

Answer: D

Explanation:
The true statement about test automation is that test automation levels can be influenced by and can constrain the frequency of code deployments. This reflects the understanding that while test automation can speed up the validation of code changes, enabling more frequent deployments, it also requires that the automation is sufficiently robust to handle the pace and scope of these deployments without becoming a bottleneck.

NEW QUESTION # 104
Which of the following does NOT contribute to a more effective review preparation by the Technical Test Analyst?

A. The usage of review checklists.
B. Managing logging rate (number of defects logged per minute during the meeting).
C. Review training for the Technical Test Analyst.
D. Ensure that participants spend enough time during preparation, e.g.. by managing checking rate (number of pages checked per hour during review preparation).

Answer: B

Explanation:
An effective review preparation by a Technical Test Analyst includes ensuring that participants are well-prepared and that they spend enough time on preparation, which can be managed by checking the rate (option A). The use of review checklists (option C) and providing review training (option D) are also methods that contribute to more effective review preparation. However, managing the logging rate (option B), or the number of defects logged per minute during the meeting, is not related to the preparation phase but rather to the defect detection and logging phase during the actual review meeting. It is not a preparation activity but a review execution activity.

NEW QUESTION # 105
......

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