CT-AI Exam Questions
159 real CT-AI exam questions with expert-verified answers and explanations. Page 1 of 4.
- Question #1Data Modeling and Management
Which ONE of the following options BEST DESCRIBES clustering?
clusteringunsupervised learningmachine learningoutput classes - Question #2Performance
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 b...
ML performancedata pipelinedata labelingbiased data - Question #3Testing, Debugging, and Deployment
Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
test data acquisitioncompliancedata pipelineML testing - Question #4Performance
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
ML hardwarematrix multiplicationGPUAI infrastructure - Question #5Testing, Debugging, and Deployment
Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers?
adversarial examplesblack box attacksML securityimage classification - Question #6Data Modeling and Management
A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and a...
clusteringcustomer segmentationML typesunsupervised learning - Question #7Testing, Debugging, and Deployment
Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
regression testingtest suite optimizationAI-based testingtest selection - Question #8Testing, Debugging, and Deployment
Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters. Which ONE of the following options is LEA...
pairwise testingcombinatorial testingself-driving carsML metrics - Question #9Advanced Developer Fundamentals
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
AI flexibilityself-learning systemsML adaptabilityoperational environments - Question #10Process Automation, Logic, and Integration
Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
hyperparameter tuningML workflowmodel tuningalgorithm optimization - Question #11Testing, Debugging, and Deployment
Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
bias detectionML pipelinedata biasmodel evaluation - Question #12Testing, Debugging, and Deployment
Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historica...
defect predictionclassification modelcode quality metricsML for testing - Question #13Testing, Debugging, and Deployment
Which ONE of the following options describes a scenario of A/B testing the LEAST?
A/B testingML model comparisonrecommendation systemmodel evaluation - Question #14Testing, Debugging, and Deployment
Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images. For this confusion matrix which...
confusion matrixaccuracyrecallspecificity - Question #15Advanced Developer Fundamentals
The activation value output for a neuron in a neural network is obtained by applying computation to the neuron. Which ONE of the following options BEST describes the inputs used to...
neural networkactivation functionweightsneuron bias - Question #16Machine Learning (ML)
Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
ML model testingtraining phaseprediction speedAPI testing - Question #17Quality Characteristics for AI-based Systems
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
AI safetyrobustnessnon-determinismself-learning - Question #18Machine Learning (ML)
Which of the following is an example of overfitting?
overfittinggeneralizationmodel trainingunderfitting - Question #19Test Strategies for AI-based Systems
A bank wants to use an algorithm to determine which applicants should be given a loan. The bank hires a data scientist to construct a logistic regression model to predict whether t...
bias detectiontraining dataexperience-based testinglogistic regression - Question #20Ethics and Bias in AI Testing
A word processing company is developing an automatic text correction tool. A machine learning algorithm was used to develop the auto text correction feature. The testers have disco...
automation biascomplacency biasUAT testingNLP autocorrect - Question #21Ethics and Bias in AI Testing
An engine manufacturing facility wants to apply machine learning to detect faulty bolts. Which of the following would result in bias in the model?
training data biasdata selectionML biasclassification model - Question #22Specific Approaches to Testing AI-based Systems
Consider an AI system in which the complex internal structure has been generated by another software system. Why would the tester choose to do black-box testing on this particular...
black-box testingAI system testingcomplex AI structuretest strategy selection - Question #23Specific Approaches to Testing AI-based Systems
You have been developing test automation for an e-commerce system. One of the problems you are seeing is that object recognition in the GUI is having frequent failures. You have de...
AI-assisted testingGUI automationobject recognitiontest reliability - Question #24Machine Learning (ML)
An e-commerce developer built an application for automatic classification of online products in order to allow customers to select products faster. The goal is to provide more rele...
supervised learninglabeled dataclassificationML training requirements - Question #25Machine Learning (ML)
A startup company has implemented a new facial recognition system for a banking application for mobile devices. The application is intended to learn at run-time on the device to de...
edge AImobile MLcomputational resourcesself-learning - Question #26Machine Learning (ML)
The stakeholders of a machine learning model have confirmed that they understand the objective and purpose of the model, and ensured that the proposed model aligns with their busin...
ML workflowdata preparationpreprocessingML pipeline - Question #27Specific Approaches to Testing AI-based Systems
A wildlife conservation group would like to use a neural network to classify images of different animals. The algorithm is going to be used on a social media platform to automatica...
back-to-back testingneural networkimage classificationmodel retraining - Question #28Specific Approaches to Testing AI-based Systems
You are testing an autonomous vehicle which uses AI to determine proper driving actions and responses. You have evaluated the parameters and combinations to be tested and have dete...
pairwise testingcombinatorial testingautonomous vehiclestest reduction - Question #29Introduction to AI and AI Testing
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 pro...
narrow AIgeneral AIAI classificationNLP systems - Question #30Machine Learning (ML)
A motorcycle engine repair shop owner wants to detect a leaking exhaust valve and fix it before it falls and causes catastrophic damage to the engine. The shop developed and traine...
precisionconfusion matrixpredictive modelmodel evaluation metrics - Question #31Specific Approaches to Testing AI-based Systems
Consider a natural language processing (NLP) algorithm that attempts to predict the next word that you would like to type in a text message. An update to the algorithm has been cre...
A/B testingNLP algorithmversion comparisonaccuracy evaluation - Question #32Testing of AI-based Systems
Consider a machine learning model where the model is attempting to predict if a patient is at risk for stroke. The model collects information on each patient regarding their blood...
accuracyconfusion matrixmodel evaluationdecision tree - Question #33Machine Learning (ML)
Which of the following is an example of a clustering problem that can be resolved by unsupervised learning?
unsupervised learningclusteringcustomer segmentationsupervised vs unsupervised - Question #34Testing of AI-based Systems
A neural network has been designed and created to assist day-traders improve efficiency when buying and selling commodities in a rapidly changing market. Suppose the test team exec...
threshold coverageneural network coveragecoverage criterianeuron activation - Question #35Testing of AI-based Systems
Which of the following aspects is a challenge when handling test data for an AI-based system?
test data managementdata privacyconfidential dataAI testing challenges - Question #36Machine Learning (ML)
Which of the following is a technique used in machine learning?
decision treesML techniquessupervised learning - Question #37Quality Characteristics for AI-based Systems
Which of the following characteristics of AI-based systems make it more difficult to ensure they are safe?
non-determinismAI safetyquality characteristics - Question #38Machine Learning (ML)
Which of the following is a dataset issue that can be resolved using pre-processing?
data pre-processingdataset issuesdata qualitydata types - Question #39Testing of AI-based Systems
A local business has a mail pickup/delivery robot for their office. The robot currently uses a track to move between pickup/drop off locations. When it arrives at a destination, th...
test objectivesautonomous systemsacceptance criteriaAI capabilities - Question #40Ethics and Bias in AI Testing
A beer company is trying to understand how much recognition its logo has in the market. It plans to do that by monitoring images on various social media platforms using a pre-train...
pre-trained modelsinherited biastransfer learningrisk analysis - Question #41Testing of AI-based Systems
When verifying that an autonomous AI-based system is acting appropriately, which of the following are MOST important to include?
autonomous systemshuman interventionAI verificationtest cases - Question #42Machine Learning (ML)
Which of the following is correct regarding the layers of a deep neural network?
deep neural networkshidden layersnetwork architecture - Question #43Specific Approaches to Testing AI-based Systems
A mobile app start-up company is implementing an AI-based chat assistant for e-commerce customers. In the process of planning the testing, the team realizes that the specifications...
exploratory testinginsufficient specificationsAI chat assistanttest approaches - Question #44Specific Approaches to Testing AI-based Systems
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 at...
metamorphic testingmetamorphic relationsroute planningfollow-up tests - Question #45Quality Characteristics for AI-based Systems
You have access to the training data that was used to train an AI-based system. You can review this information and use it as a guideline when creating your tests. What type of cha...
transparencytraining datatestabilityAI quality characteristics - Question #46Machine Learning (ML)
Which ONE of the below is MOST likely to indicate a problem with underfitting in an ML model?
underfittingmodel accuracyoverfittinggeneralization - Question #47Machine Learning (ML)
Which ONE of the below is NOT an input to an activation function in a neural network?
activation functionneural networksweightsbias - Question #48Introduction to AI and AI Testing
Which ONE of the following options is a technology used to implement AI?
genetic algorithmsAI technologiesAI implementation - Question #49Machine Learning (ML)
Which ONE of the following statements about the hardware used to implement ML systems is MOST likely to be correct?
ML hardwarecomputational requirementshardware optimization - Question #50Machine Learning (ML)
Which TWO of the below examples of systems BEST describe regression?
regressionML typessupervised learningcontinuous prediction