ISTQB CT-AI최신버전덤프문제 - CT-AI최신인증시험대비자료

Rated:

, 0 Comments

Total visits: 4

Posted on: 03/31/25

ExamPassdump 의 ISTQB인증 CT-AI덤프는 PDF버전과 소프트웨어버전 두가지 버전으로 되어있는데 소프트웨어버전은 시뮬레이션버전입니다. 소프트웨어버전의 문제를 푸는 과정은 시험현장을 연상케하여 시험환경에 먼저 적응하여 실제시험에서 높은 점수를 받도록 도와드릴수 있습니다.

ExamPassdump의 ISTQB인증 CT-AI덤프는 거의 모든 실제시험문제 범위를 커버하고 있습니다.ISTQB인증 CT-AI시험덤프를 구매하여 덤프문제로 시험에서 불합격성적표를 받을시ExamPassdump에서는 덤프비용 전액 환불을 약속드립니다.

>> ISTQB CT-AI최신버전 덤프문제 <<

CT-AI최신 인증시험 대비자료 - CT-AI시험응시료

ISTQB CT-AI 시험탈락시ISTQB CT-AI덤프비용전액을 환불해드릴만큼 저희 덤프자료에 자신이 있습니다. ExamPassdump에서는ISTQB CT-AI덤프를 항상 최신버전이도록 보장해드리고 싶지만ISTQB CT-AI시험문제변경시점을 예측할수 없어 시험에서 불합격받을수도 간혹 있습니다. 하지만 시험에서 떨어지면 덤프비용을 전액 환불해드려 고객님의 이익을 보장해드립니다.

최신 ISTQB AI Testing CT-AI 무료샘플문제 (Q52-Q57):

질문 # 52
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION

A. Neuron coverage
B. Sign change coverage
C. Threshold coverage
D. Value coverage

정답：B

설명：
* Coverage for Neuron Activation Values: Sign change coverage is used to ensure that test cases cause each neuron to achieve both positive and negative activation values. This type of coverage ensures that the neurons are thoroughly tested under different activation states.
* Reference: ISTQB_CT-AI_Syllabus_v1.0, Section 6.2 Coverage Measures for Neural Networks, which details different types of coverage measures, including sign change coverage.

질문 # 53
A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?
SELECT ONE OPTION

A. Reinforcement learning
B. Clustering
C. Classification
D. Regression

정답：C

설명：
Recognizing digits from a scan of handwritten numbers using machine learning is an example of classification. Here's a breakdown:
* Classification: This type of machine learning involves categorizing input data into predefined classes.
In this scenario, the input data (handwritten digits) are classified into one of the 10 digit classes (0-9).
* Why Not Other Options:
* Reinforcement Learning: This involves learning by interacting with an environment to achieve a goal, which does not fit the problem of recognizing digits.
* Regression: This is used for predicting continuous values, not discrete categories like digit recognition.
* Clustering: This involves grouping similar data points together without predefined classes, which is not the case here.
References:The explanation is based on the definitions of different machine learning types as outlined in the ISTQB CT-AI syllabus, specifically under supervised learning and classification.

질문 # 54
Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION

A. Aspects III, IV, and V
B. Aspects I, II, and III
C. Aspects I, IV, and V
D. Aspects II, III and IV

정답：A

설명：
For AI-enabled medical devices, the most required aspects for certification are safety, transparency, and side effects. Here's why:
* Safety (Aspect III): Critical for ensuring that the AI system does not cause harm to patients.
* Transparency (Aspect IV): Important for understanding and verifying the decisions made by the AI system.
* Side Effects (Aspect V): Necessary to identify and mitigate any unintended consequences of the AI system.
Why Not Other Options:
* Autonomy and Maintainability (Aspects I and II): While important, they are secondary to the immediate concerns of safety, transparency, and managing side effects in life-critical processes.
References:This explanation is aligned with the critical quality characteristics for AI-based systems as mentioned in the ISTQB CT-AI syllabus, focusing on the certification of medical devices.

질문 # 55
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?
SELECT ONE OPTION

A. The quality of the labeling
B. The number of classes
C. The data pipeline
D. Biased data

정답：B

설명：
* 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.
* Reference: ISTQB_CT-AI_Syllabus_v1.0, Sections on Data Quality and its Effect on the ML Model and ML Functional Performance Metrics.

질문 # 56
A transportation company operates three types of delivery vehicles in its fleet. The vehicles operate at different speeds (slow, medium, and fast). The transportation company is attempting to optimize scheduling and has created an AI-based program to plan routes for its vehicles using records from the medium-speed vehicle traveling to selected destinations. The test team uses this data in metamorphic testing to test the accuracy of the estimated travel times created by the AI route planner with the actual routes and times.
Which of the following describes the next phase of metamorphic testing?

A. The team tests the time required for the fast and slow vehicles to travel the same route as the medium vehicle. Then, by calculating the speed difference, they then predict how much faster or slower the vehicles will travel. That information is then used to verify that the arrival time of the vehicles meets the expected result.
B. The team decomposes each route into the relevant components that affect the travel time such as traffic density and vehicle power. The team then uses statistical analysis to characterize the influence of each component to calculate the fast and slow vehicle route times.
C. The team uses the same AI route planner to create routes that are longer and shorter but follow the same track. Finally, by driving the fast vehicles on the long routes and slow vehicles on the short routes and vice versa, the AI system will have enough information to infer travel times for all vehicles on all routes.
D. The team uses an AI system to select the most dissimilar routes. With this information, any of the AI routes can be metaphorically transformed into a fast or slow route.

정답：A

설명：
Metamorphic Testing (MT)is a testing technique that verifies AI-based systems by generatingfollow-up test casesbased on existing test cases. These follow-up test cases adhere to aMetamorphic Relation (MR), ensuring that if the system is functioning correctly, changes in input should result in predictable changes in output.
* Metamorphic testing works by transforming source test cases into follow-up test cases
* Here, thesource test caseinvolves testing themedium-speed vehicle'stravel time.
* Thefollow-up test casesare derived byextrapolating travel times for fast and slow vehiclesusing predictable relationships based on speed differences.
* MR states that modifying input should result in a predictable change in output
* Since the speed of the vehicle is a known factor, it is possible to predict the new arrival times and verify whether they follow expected trends.
* This is a direct application of metamorphic testing principles
* Inroute optimization systems, metamorphic testing often applies transformations tospeed, distance, or conditionsto verify expected outcomes.
* (B) Decomposing each route into traffic density and vehicle power#
* While useful for statistical analysis, this approach does not generate follow-up test cases based on a definedmetamorphic relation (MR).
* (C) Selecting dissimilar routes and transforming them into a fast or slow route#
* Thisdoes not follow metamorphic testing principles, which require predictable transformations.
* (D) Running fast vehicles on long routes and slow vehicles on short routes#
* This methoddoes not maintain a controlled MRand introduces too manyuncontrolled variables.
* Metamorphic testing generates follow-up test cases based on a source test case."MT is a technique aimed at generating test cases which are based on a source test case that has passed.One or more follow- up test cases are generated by changing (metamorphizing) the source test case based on a metamorphic relation (MR)."
* MT has been used for testing route optimization AI systems."In the area of AI, MT has been used for testing image recognition, search engines, route optimization and voice recognition, among others." Why Option A is Correct?Why Other Options are Incorrect?References from ISTQB Certified Tester AI Testing Study GuideThus,option A is the correct answer, as it aligns with the principles ofmetamorphic testing by modifying input speeds and verifying expected results.

질문 # 57
......

ExamPassdump의ISTQB인증 CT-AI시험덤프 공부가이드는 시장에서 가장 최신버전이자 최고의 품질을 지닌 시험공부자료입니다.IT업계에 종사중이라면 IT자격증취득을 승진이나 연봉협상의 수단으로 간주하고 자격증취득을 공을 들여야 합니다.회사다니면서 공부까지 하려면 몸이 힘들어 스트레스가 많이 쌓인다는것을 헤아려주는ExamPassdump가 IT인증자격증에 도전하는데 성공하도록ISTQB인증 CT-AI시험대비덤프를 제공해드립니다.

CT-AI최신 인증시험 대비자료: https://www.exampassdump.com/CT-AI_valid-braindumps.html

CT-AI덤프로ISTQB CT-AI시험에 도전해보지 않으실래요, ISTQB CT-AI최신버전 덤프문제 지금의 현황에 만족하여 아무런 노력도 하지 않는다면 언젠가는 치열한 경쟁을 이겨내지 못하게 될것입니다, ExamPassdump의ISTQB인증 CT-AI덤프는 시험패스율이 거의 100%에 달하여 많은 사랑을 받아왔습니다, 오랜 시간동안 IT인증시험 대비자료를 출시한 업계 인기 사이트이기에 적중율 높은 CT-AI덤프를 제공해드릴수 있습니다.시험불합격 받으시면 덤프비용을 환불해드리기에 부담없이 구매하셔도 됩니다, ExamPassdump의 ISTQB인증 CT-AI시험덤프자료는 여러분의 시간,돈 ,정력을 아껴드립니다.

치료해 줘, 만일 그들이 내려오는 전설처럼 마경을 완전히 익힌다면 그 후의 일은 장담할 수가 없사옵니다, CT-AI덤프로ISTQB CT-AI시험에 도전해보지 않으실래요, 지금의 현황에 만족하여 아무런 노력도 하지 않는다면 언젠가는 치열한 경쟁을 이겨내지 못하게 될것입니다.

ISTQB 자격증 CT-AI 시험덤프

ExamPassdump의ISTQB인증 CT-AI덤프는 시험패스율이 거의 100%에 달하여 많은 사랑을 받아왔습니다, 오랜 시간동안 IT인증시험 대비자료를 출시한 업계 인기 사이트이기에 적중율 높은 CT-AI덤프를 제공해드릴수 있습니다.시험불합격 받으시면 덤프비용을 환불해드리기에 부담없이 구매하셔도 됩니다.

ExamPassdump의 ISTQB인증 CT-AI시험덤프자료는 여러분의 시간,돈 ,정력을 아껴드립니다.

Tags: CT-AI최신버전 덤프문제, CT-AI최신 인증시험 대비자료, CT-AI시험응시료, CT-AI시험난이도, CT-AI인기덤프공부

Comments

There are still no comments posted ...

Rate and post your comment

Username:
Password:
Forgotten password?

Most Popular

ISTQB CT-AI최신버전덤프문제 - CT-AI최신인증시험대비자료

CT-AI최신 인증시험 대비자료 - CT-AI시험응시료

최신 ISTQB AI Testing CT-AI 무료샘플문제 (Q52-Q57):

ISTQB 자격증 CT-AI 시험덤프

Login