The Certified Tester AI Testing certification is specifically designed for professionals who are involved in the rigorous testing of AI-based systems and/or the implementation of AI for testing purposes. This certification is beneficial for individuals who seek to validate their expertise and knowledge in this specialized field. To assist candidates in preparing comprehensively for the certification exam, Passcert offers the latest Certified Tester AI Testing (CT-AI) Exam Dumps which include a wide range of questions along with their detailed answers, enabling candidates to thoroughly understand the subject matter and effectively prepare to clear the CT-AI Certified Tester AI Testing Exam. By going through these Certified Tester AI Testing (CT-AI) Exam Dumps, candidates can enhance their skills and increase their chances of successfully obtaining the certification.

The ISTQB AI Testing (CT-AI) certification enhances your knowledge of artificial intelligence and deep learning, particularly in testing AI-based systems and using AI in testing. This certification is designed for anyone involved in testing AI systems or using AI for testing. It is suitable for roles such as testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers, and software developers. Additionally, it is beneficial for those seeking a basic understanding of testing AI systems or using AI for testing, including project managers, quality managers, software development managers, business analysts, operations team members, IT directors, and management consultants. To earn this certification, candidates must have the Certified Tester Foundation Level certificate.

Number of Questions: 40 Questions

Duration: 60 Minutes (+25% Non-Native Language)

Passing Score: 31

Total Points: 47

Pre-requisites: ISTQB Foundation Level Certification

Quality Characteristics for AI-Based Systems

Machine Learning (ML)

ML – Data

ML Functional Performance Metrics

ML – Neural Networks and Testing

Testing AI-Based Systems Overview

Testing AI-Specific Quality Characteristics

Methods and Techniques for the Testing of AI-Based Systems

Test Environments for AI-Based Systems

Using AI for Testing

1. ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.'

In the above quote, which ONE of the following options is the correct name of this type of Al?

A.Technological singularity

B.Narrow Al

C.Super Al

D.General Al

Answer: D

2. Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?

A.Test for human handover to give rest to the system.

B.Test for human handover when it should actually not be relinquishing control.

C.Test for human handover requiring mandatory relinquishing control.

D.Test for human handover after a given time interval.

Answer: B

3. Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?

A.A system that utilizes human beings for all important decisions.

B.A fully automated manufacturing plant that uses no software.

C.A system that utilizes a tool like Selenium.

D.A system that is fully able to respond to its environment.

Answer: D

4. Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?

A.Compliance needs require proper care to be taken of input personal data.

B.Nature of data constantly changes with lime.

C.Data for the use case is being generated at a fast pace.

D.Test data being sourced from public sources.

Answer: C

5. Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?

A.Testing the distribution shift in the training data for inappropriate bias.

B.Test the model during model evaluation for data bias.

C.Testing the data pipeline for any sources for algorithmic bias.

D.Check the input test data for potential sample bias.

Answer: B

6. Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?

A.Using a pixel comparison of the GUI before and after the change to check the differences.

B.Using a computer vision to compare the GUI before and after the test object changes.

C.Using a vision-based detection of the GUI layout changes before and after test object changes.

D.Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.

Answer: A

7. Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?

A.Natural language processing on textual requirements

B.Analyzing source code for generating test cases

C.Machine learning on logs of execution

D.GUI analysis by computer vision

Answer: A

8. Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?

A.Identifying suitable tests by looking at the complexity of the test cases.

B.Using of a random subset of tests.

C.Automating test scripts using Al-based test automation tools.

D.Using an Al-based tool to optimize the regression test suite by analyzing past test results

Answer: D