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| Certification Vendor: | ISTQB |
|---|---|
| Exam Name: | ISTQB Certified Tester - AI Testing Exam |
| Exam Number: | CT-AI |
| Related Certifications: | ISTQB Certified Tester Testing with Generative AI (CT-GenAI) ISTQB Certified Tester Foundation Level (CTFL) |
| Exam Price: | โฌ180 - โฌ250 (varies by region and provider) |
| Available Languages: | Spanish, Korean, Chinese, Japanese, German, French, English, Portuguese |
| Exam Duration: | 60 (75 for non-native language) |
| Exam Format: | 1-2 points per question, Multiple-choice questions |
| Certificate Validity Period: | Valid indefinitely (no expiration) |
| Passing Score: | 65% (29/44 points for v2.0; 31/47 points for v1.0) |
| Real Exam Qty: | 40 |
| Recommended Training: | CT-AI Syllabus v2.0 ISTQB Accredited Training Providers |
| Exam Registration: | ISTQB Official Registration iSQI Exam Registration Pearson VUE |
| Sample Questions: | ISTQB CT-AI Sample Questions |
| Exam Way: | Online remote proctored / Onsite test center |
| Pre Condition: | Must hold ISTQB Certified Tester Foundation Level (CTFL) certification |
| Official Syllabus URL: | https://istqb.org/certifications/certified-tester-ai-testing-ct-ai/ |
>> CT-AI Latest Dumps Sheet <<
Three different formats of CT-AI exam study material are available at PracticeDump. These formats include CT-AI dumps PDF files, desktop ISTQB CT-AI practice exam software, and a web-based CT-AI practice test. Professionals have designed the product according to the most recent syllabus of the CT-AI test in mind. Let's find out the prominent features of these latest ISTQB CT-AI exam questions format.
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NEW QUESTION # 111
Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
Answer: B
Explanation:
Factors Affecting ML Functional Performance: The data pipeline, quality of the labeling, and biased data are all factors that significantly affect the performance of machine learning models.
The number of classes, while relevant for the model structure, is not a direct factor affecting the performance metrics such as accuracy or bias.
NEW QUESTION # 112
A tourist calls an airline to book a ticket and is connected with an automated system which is able to recognize speech, understand requests related to purchasing a ticket, and provide relevant travel options.
When the tourist asks about the expected weather at the destination or potential impacts on operations because of the tight labor market the only response from the automated system is: "Idon't understand your question." This AI system should be categorized as?
Answer: D
Explanation:
Narrow AI (also known as Weak AI) is designed to perform specific tasks without possessing general intelligence or consciousness. The AI system in the question is capable of recognizing speech and responding to specific booking-related requests but fails when asked about unrelated topics (such as weather or labor markets).
* Option A:"General AI"
* Incorrect. General AI (AGI) refers to an AI system that can perform any intellectual task a human can. The described system is task-specific and does not exhibit general intelligence.
* Option B:"Narrow AI"
* Correct. The AI system is limited to a predefined domain (ticket booking) and cannot process unrelated questions. This is characteristic of Narrow AI, which excels at specific tasks but lacks broader cognitive abilities.
* Option C:"Super AI"
* Incorrect. Super AI surpasses human intelligence, exhibiting advanced reasoning and creativity.
The AI in the scenario is far from this level.
* Option D:"Conventional AI"
* Incorrect. Conventional AI is a broader term that may include rule-based systems. The described system relies on machine learning and natural language processing, making it more aligned with Narrow AI.
* Definition of Narrow AI:"Narrow AI refers to AI systems that are designed to perform a single task or a limited set of tasks, without general intelligence".
* General vs. Narrow AI:"General AI remains an area of research, while most current AI applications fall into the category of Narrow AI".
Analysis of the Answer Options:ISTQB CT-AI Syllabus References:Thus,option B is the correct categorization for the AI-based ticket booking system.
NEW QUESTION # 113
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
Answer: D
Explanation:
Flexibility in AI systems is crucial for various reasons, particularly because it allows for easier modification and adaptation of the system as a whole.
* AI systems are inherently flexible (A): This statement is not correct. While some AI systems may be designed to be flexible, they are not inherently flexible by nature. Flexibility depends on the system's design and implementation.
* AI systems require changing operational environments; therefore, flexibility is required (B):
While it's true that AI systems may need to operate in changing environments, this statement does not directly address the importance of flexibility for the modification of the system.
* Flexible AI systems allow for easier modification of the system as a whole (C): This statement correctly describes the importance of flexibility. Being able to modify AI systems easily is critical for their maintenance, adaptation to new requirements, and improvement.
* Self-learning systems are expected to deal with new situations without explicitly having to program for it (D): This statement relates to the adaptability of self-learning systems rather than their overall flexibility for modification.
Hence, the correct answer isC. Flexible AI systems allow for easier modification of the system as a whole.
References:
* ISTQB CT-AI Syllabus Section 2.1 on Flexibility and Adaptability discusses the importance of flexibility in AI systems and how it enables easier modification and adaptability to new situations.
* Sample Exam Questions document, Question #30 highlights the importance of flexibility in AI systems.
NEW QUESTION # 114
Which ONE of the following options is a technology used to implement AI?
Answer: A
Explanation:
The correct answer is A. Genetic algorithms . In the CT-AI syllabus, Chapter 1, Section 1.4 "AI Technologies" lists multiple technologies used to implement AI, including fuzzy logic, search algorithms, reasoning techniques, neural networks, Bayesian models, decision trees, random forest, linear regression, logistic regression, clustering algorithms, genetic algorithms , and support vector machines. The syllabus also states that AI-based systems typically implement one or more of these technologies.
Option B, autonomy , is not an AI implementation technology; it is a quality characteristic describing the ability of a system to work without human oversight or intervention for sustained periods. Option C, classification , is a supervised learning problem type in which inputs are assigned to predefined classes, not itself an implementation technology in the syllabus taxonomy. Option D, reinforcement learning , is a form of machine learning, but the option that directly appears in the AI technology list is genetic algorithms .
References/topics: CT-AI Syllabus Chapter 1, Section 1.4 "AI Technologies"; Chapter 3, Section 3.1
"Forms of ML."
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NEW QUESTION # 115
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
Answer: D
Explanation:
Flexibility in AI systems is crucial for various reasons, particularly because it allows for easier modification and adaptation of the system as a whole.
AI systems are inherently flexible (A): This statement is not correct. While some AI systems may be designed to be flexible, they are not inherently flexible by nature. Flexibility depends on the system's design and implementation.
AI systems require changing operational environments; therefore, flexibility is required (B): While it's true that AI systems may need to operate in changing environments, this statement does not directly address the importance of flexibility for the modification of the system.
Flexible AI systems allow for easier modification of the system as a whole (C): This statement correctly describes the importance of flexibility. Being able to modify AI systems easily is critical for their maintenance, adaptation to new requirements, and improvement.
Self-learning systems are expected to deal with new situations without explicitly having to program for it (D):
This statement relates to the adaptability of self-learning systems rather than their overall flexibility for modification.
Hence, the correct answer isC. Flexible AI systems allow for easier modification of the system as a whole.
ISTQB CT-AI Syllabus Section 2.1 on Flexibility and Adaptability discusses the importance of flexibility in AI systems and how it enables easier modification and adaptability to new situations.
Sample Exam Questions document, Question #30 highlights the importance of flexibility in AI systems.
NEW QUESTION # 116
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