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NEW QUESTION # 15
You are a test manager planning testing for an invoice financing company. The company buy unpaid invoices from companies and provide them with immediate cash. The company is replacing their existing conventional system, which takes company accounting records as inputs, with an ML system that classifies each invoice for sales as something that should, or should not be bought. Significant historical production data is available. It is important that invoices are not bought incorrectly. Which ONE of the following test techniques would be MOST appropriate for you to plan for system testing?
Answer: D
Explanation:
The correct answer is B. Back-to-back testing . The scenario contains the key conditions for this technique:
an existing conventional system with similar functionality, a new ML-based replacement, and significant historical production data. The CT-AI syllabus explains that back-to-back testing uses an alternative version of the system as a pseudo-oracle , comparing its outputs with those produced by the system under test. The pseudo-oracle may be an existing system or even conventional non-AI software.
This is stronger than A/B testing because the objective is not primarily to compare two production variants statistically to determine which is better; it is to detect classification defects in a replacement system. It is also stronger than metamorphic testing because an existing oracle-like comparator is available, reducing the need to rely only on relative output relations. Experience-based testing is useful as a supplement, but it would not be the primary systematic technique where historical production inputs and an existing system are available.
References/topics: CT-AI Syllabus Chapter 9, Section 9.3 "Back-to-Back Testing"; Section 9.7
"Selecting Test Techniques for AI-Based Systems."
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NEW QUESTION # 16
Which ONE of the below types of testing is NOT a type of experience based testing applied to an AI based system?
Answer: A
Explanation:
The correct answer is B . The CT-AI syllabus identifies experience-based testing as including error guessing, exploratory testing, and checklist-based testing , all of which may be applied to AI-based systems. It also explicitly relates exploratory testing to exploratory data analysis, where data is examined for patterns, relationships, trends, outliers, distribution, format, and ranges.
Option A matches exploratory testing and EDA, because the tester explores training data to guide subsequent testing. Option C matches error guessing, because the tester uses knowledge of previous ML-system failures, such as biased training data, to identify likely faults. Option D matches checklist-based testing, because the syllabus cites Google's ML test checklist as an effective checklist approach for ML systems.
Option B is not, by itself, an experience-based AI testing type. Usability testing may be important for AI- based systems, especially where users consume predictions, recommendations, or explanations, but it is classified as a quality-characteristic or user-experience concern, not as one of the named experience-based techniques in this syllabus context.
References/topics: CT-AI Syllabus Chapter 9, Section 9.6 "Experience-Based Testing of AI-Based Systems"; Section 9.6.1 "Exploratory Testing and EDA."
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NEW QUESTION # 17
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, "I don't understand your question." This AI system should be categorized as?
Answer: D
Explanation:
According to the syllabus,conventional AIsystems are limited to specific, pre-defined tasks and do not have generalized intelligence:
"Conventional AI systems are limited in their scope and typically only perform specific tasks within the domain for which they have been designed. They do not exhibit general AI behavior." (Reference: ISTQB CT-AI Syllabus v1.0, Section 1.2)
NEW QUESTION # 18
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
Answer: B
Explanation:
A . 64-bit CPUs.
While 64-bit CPUs are essential for handling large amounts of memory and performing complex computations, they are not specifically optimized for the types of operations commonly used in machine learning.
B . Hardware supporting fast matrix multiplication.
Matrix multiplication is a fundamental operation in many machine learning algorithms, especially in neural networks and deep learning. Hardware optimized for fast matrix multiplication, such as GPUs (Graphics Processing Units), is most suitable for implementing AI and ML because it can handle the parallel processing required for these operations efficiently.
C . High powered CPUs.
High powered CPUs are beneficial for general-purpose computing tasks and some aspects of ML, but they are not as efficient as specialized hardware like GPUs for matrix multiplication and other ML-specific tasks.
D . Hardware supporting high precision floating point operations.
High precision floating point operations are important for scientific computing and some specific AI tasks, but for many ML applications, fast matrix multiplication is more critical than high precision alone.
Therefore, the correct answer is B because hardware supporting fast matrix multiplication, such as GPUs, is most suitable for the parallel processing requirements of machine learning.
NEW QUESTION # 19
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
Answer: B
Explanation:
Matrix multiplication is a fundamental operation in many machine learning algorithms, especially in neural networks and deep learning. Hardware optimized for fast matrix multiplication, such as GPUs (Graphics Processing Units), is most suitable for implementing AI and ML because it can handle the parallel processing required for these operations efficiently.
NEW QUESTION # 20
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