Blog Ievgeniia Späth

Jack Shaw Jack Shaw

0 Зачислен на курс • 0 Курс завершен

Биография

Latest CT-AI Test Voucher | CT-AI Reliable Exam Syllabus

2025 Latest TestValid CT-AI PDF Dumps and CT-AI Exam Engine Free Share: https://drive.google.com/open?id=1gg00IoFzerJ2XrgJ0WUC03yNqvp9JuGA

Our CT-AI exam questions are valuable and useful and if you buy our product will provide first-rate service to you to make you satisfied. We provide not only the free download and try out of the CT-AI study guide but also the immediate refund if you fail in the test. To see whether our CT-AI Study Materials are worthy to buy you can have a look at the introduction of our product on the website and free download the demos to check the questions and answers.

Nowadays, it is hard to find a desirable job. A lot of people are forced to live their jobs because of lack of skills. So you must learn something in order to be washed out by the technology. Then our CT-AI study materials totally accord with your demands. With the latest information and knowledage in our CT-AI Exam Braindumps, we help numerous of our customers get better job or career with their dreaming CT-AI certification.

>> Latest CT-AI Test Voucher <<

ISTQB CT-AI Reliable Exam Syllabus, Customizable CT-AI Exam Mode

We have installed the most advanced operation system in our company which can assure you the fastest delivery speed, to be specific, you can get immediately our CT-AI training materials only within five to ten minutes after purchase after payment. As soon as you pressed the payment button on our CT-AI Exam Questions, you can study right away if you choose to buy the CT-AI exam practice from us. We aim to leave no misgivings to our customers so that they are able to devote themselves fully to their studies on CT-AI guide materials and they will find no distraction from us.

ISTQB CT-AI Exam Syllabus Topics:

Topic
Details

Topic 1

Quality Characteristics for AI-Based Systems: This section covers topics covered how to explain the importance of flexibility and adaptability as characteristics of AI-based systems and describes the vitality of managing evolution for AI-based systems. It also covers how to recall the characteristics that make it difficult to use AI-based systems in safety-related applications.

Topic 2

ML Functional Performance Metrics: In this section, the topics covered include how to calculate the ML functional performance metrics from a given set of confusion matrices.

Topic 3

systems from those required for conventional systems.

Topic 4

Introduction to AI: This exam section covers topics such as the AI effect and how it influences the definition of AI. It covers how to distinguish between narrow AI, general AI, and super AI; moreover, the topics covered include describing how standards apply to AI-based systems.

Topic 5

Methods and Techniques for the Testing of AI-Based Systems: In this section, the focus is on explaining how the testing of ML systems can help prevent adversarial attacks and data poisoning.

Topic 6

Test Environments for AI-Based Systems: This section is about factors that differentiate the test environments for AI-based

ISTQB Certified Tester AI Testing Exam Sample Questions (Q24-Q29):

NEW QUESTION # 24
You have been developing test automation for an e-commerce system. One of the problems you are seeing is that object recognition in the GUI is having frequent failures. You have determined this is because the developers are changing the identifiers when they make code updates.
How could AI help make the automation more reliable?

A. It could dynamically name the objects, altering the source code, so the object names will match the object names used in the automation.
B. It could generate a model that will anticipate developer changes and pre-alter the test automation code accordingly.
C. It could identify the objects multiple ways and then determine the most commonly used and stable identification for each object.
D. It could modify the automation code to ignore unrecognizable objects to avoid failures.

Answer: C

NEW QUESTION # 25
A mobile app start-up company is implementing an AI-based chat assistant for e-commerce customers. In the process of planning the testing, the team realizes that the specifications are insufficient.
Which testing approach should be used to test this system?

A. Static analysis
B. Exploratory testing
C. Equivalence partitioning
D. State transition testing

Answer: B

Explanation:
Whentesting an AI-based chat assistantfor e-commerce customers, thelack of sufficient specifications makes it difficult to use structured test techniques. TheISTQB CT-AI Syllabusrecommendsexploratory testingin such cases:
* Why Exploratory Testing?
* Exploratory testing is usefulwhen specifications are incomplete or unclear.
* AI-based systems, particularly those usingnatural language processing (NLP),may not behave deterministically, making scripted test cases ineffective.
* Thetester interacts dynamicallywith the system, identifying unexpected behaviorsnot documented in the specification.
* Analysis of Answer Choices:
* A (Exploratory testing)#Correct, as it is the best approach when specifications are incomplete.
* B (Static analysis)# Incorrect, as static analysis checks code without execution, which isnot helpfulfor AI chatbots.
* C (Equivalence partitioning)# Incorrect, asthis technique requires well-defined inputs and outputs, which are missing due toinsufficient specifications.
* D (State transition testing)# Incorrect, as state-based testingrequires knowledge of valid and invalid transitions, which is difficult with a chatbot lacking a clear specification.
Thus,Option A is the correct answer, asexploratory testing is the best approach when dealing with insufficient specifications in AI-based systems.
Certified Tester AI Testing Study Guide References:
* ISTQB CT-AI Syllabus v1.0, Section 7.7 (Selecting a Test Approach for an ML System)
* ISTQB CT-AI Syllabus v1.0, Section 9.6 (Experience-Based Testing of AI-Based Systems).

NEW QUESTION # 26
An airline has created an ML model to project fuel requirements for future flights. The model imports weather data such as wind speeds and temperatures, calculates flight routes based on historical routings from air traffic control, and estimates loads from average passenger and baggage weights. The model performed within an acceptable standard for the airline throughout the summer but as winter set in, the load weights became less accurate. After some exploratory data analysis, it became apparent that luggage weights were higher in the winter than in summer.
Which of the following statements BEST describes the problem and how it could have been prevented?

A. The model suffers from a lack of transparency and therefore should be regularly tested to ensure that any progressive errors are detected soon enough for the problem to be mitigated
B. The model suffers from drift and therefore should be regularly tested to ensure that any occurrences of drift are detected soon enough for the problem to be mitigated
C. The model suffers from corruption and therefore should be reloaded into the computer system being used, preferably with a method of version control to prevent further changes
D. The model suffers from drift and therefore the performance standard should be eased until a new model with more transparency can be developed

Answer: B

Explanation:
The syllabus states:
"Concept drift occurs when the operational environment changes without the trained model changing correspondingly. The outputs of the model become less accurate and less useful. Therefore, the operational model should be regularly evaluated against its acceptance criteria." (Reference: ISTQB CT-AI Syllabus v1.0, Section 7.6, Page 54 of 99)

NEW QUESTION # 27
You are testing an autonomous vehicle which uses AI to determine proper driving actions and responses. You have evaluated the parameters and combinations to be tested and have determinedthat there are too many to test in the time allowed. It has been suggested that you use pairwise testing to limit the parameters. Given the complexity of the software under test, what is likely the outcome from using pairwise testing?

A. All high priority defects will be identified using this method.
B. While the number of tests needed can be reduced, there may still be a large enough set of tests that automation will be required to execute all of them.
C. Pairwise cannot be applied to this problem because there is AI involved and the evolving values may result in unexpected results that cannot be verified.
D. The number of parameters to test can be reduced to less than a dozen.

Answer: B

Explanation:
Pairwise testing is a combinatorial testing technique that reduces the number of test cases by focusing on testing interactions between pairs of parameters rather than all possible combinations. It is widely used in AI- based systems, including autonomous vehicles, where the number of possible input parameter combinations can be extremely high.
* Option A:"The number of parameters to test can be reduced to less than a dozen."
* This is incorrect. While pairwise testing significantly reduces the number of test cases, it does not necessarily limit them to a fixed number like a dozen. The final number of tests depends on the number of parameters and their possible values.
* Option B:"All high priority defects will be identified using this method."
* This is incorrect. While pairwise testing is effective in detecting defects caused by interactions between two parameters, it may not uncover defects resulting from more complex interactions involving three or more parameters.
* Option C:"While the number of tests needed can be reduced, there may still be a large enough set of tests that automation will be required to execute all of them."
* This is the correct answer. Even though pairwise testing reduces the number of test cases, AI- based systems such as autonomous vehicles still have a large number of test scenarios. Therefore, automation is often necessary to execute all test cases within the available time.
* Option D:"Pairwise cannot be applied to this problem because there is AI involved, and the evolving values may result in unexpected results that cannot be verified."
* This is incorrect. Pairwise testing can still be applied to AI-based systems, including those that evolve over time. However, additional testing techniques may be required to verify evolving behavior.
* Pairwise Testing for AI Systems:"Pairwise testing is widely used because it effectively reduces the number of test cases while maintaining defect detection capability".
* Automation Requirement:"In practice, even with pairwise testing, extensive test suites may still require automation".
Analysis of the Answer Options:ISTQB CT-AI Syllabus References:

NEW QUESTION # 28
A team of software testers is attempting to create an AI algorithm to assist in software testing. This particular team has gone through over 40 iterations of testing and cannot afford to spend as much time as it takes to run the full regression test suite. They are hoping to have the algorithm reduce the amount of testing required thus reducing the time needed for each testing cycle.
How can an AI-based tool be expected to assist in this reduction?

A. By using A/B testing to compare the last update with the newest change and compare metrics between the two
B. By performing bayesian analysis to estimate the types of human interactions that are expected to be seen in the system and then selecting those test cases
C. By using a clustering method to quantify the relationships between test cases and then assigning each test case to a category
D. By performing optimization of the data from past iterations to see where the most common defects occurred and select the corresponding test cases

Answer: D

Explanation:
AI-based tools can significantly optimize regression test suites by analyzing historical data, past test results, associated defects, and changes made to the software. These tools prioritize and select the most relevant test cases based on previous defect patterns and frequently failing features, which helps in reducing the test execution time while maintaining effectiveness.
The optimization process involves:
* Prioritizing test cases:AI-based tools rank test cases based on past defect detection trends, ensuring that the most relevant tests are executed first.
* Reducing redundant test cases:The tool can eliminate test cases that do not contribute significantly to defect detection, reducing overall test execution time.
* Augmenting test cases:The AI can also suggest new test cases if certain features are more prone to defects.
This approach has been proven to reduce regression test suite sizes by up to 50% while maintaining fault detection capabilities.
* Section 11.4 - Using AI for the Optimization of Regression Test Suitesstates that AI-based tools can optimize regression test suites by analyzing past test data and defect occurrences, leading to significant reductions in test execution time.
Reference from ISTQB Certified Tester AI Testing Study Guide:

NEW QUESTION # 29
......

Most IT workers prefer to choose our online test engine for their CT-AI exam prep because online version is more flexible and convenient. With the help of our online version, you can not only practice our CT-AI Exam PDF in any electronic equipment, but also make you feel the atmosphere of CT-AI actual test. The exam simulation will mark your mistakes and help you play well in CT-AI practice test.

CT-AI Reliable Exam Syllabus: https://www.testvalid.com/CT-AI-exam-collection.html

What's more, part of that TestValid CT-AI dumps now are free: https://drive.google.com/open?id=1gg00IoFzerJ2XrgJ0WUC03yNqvp9JuGA