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QUESTION 11

Which ONE of the following options describes a scenario of A/B testing the LEAST? SELECT ONE OPTION

Correct Answer: C
A/B testing, also known as split testing, is a method used to compare two versions of a product or system to determine which one performs better. It is widely used in web development, marketing, and machine learning to optimize user experiences and model performance. Here??s why option C is the least descriptive of an A/B testing scenario:
✑ Understanding A/B Testing:
✑ Application in Machine Learning:
✑ Why Option C is the Least Descriptive:
✑ Clarifying the Other Options:
References:
✑ ISTQB CT-AI Syllabus, Section 9.4, A/B Testing, explains the methodology and application of A/B testing in various contexts.
✑ "Understanding A/B Testing" (ISTQB CT-AI Syllabus).

QUESTION 12

Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION

Correct Answer: C
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 is C. 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.