Infosys Certified AI Tester
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Join Premium10 Infosys Certified AI Tester practice questions with answers
Real Lex exam-pattern multiple-choice questions for the Infosys Certified AI Tester certification. Each question includes the correct answer. The full question bank is available to Premium members.
- Question 1
During ML model testing, what role does hyperparameter tuning typically play? (Select one)
- ✓Isolating individual components to test in isolation.Correct
- BIt is essential for selecting the training dataset.
- CHyperparameter tuning fine-tunes the model's parameters based on test results.
- DThe testing phase focuses solely on algorithm design.
- Question 2
What does the Step Design & Modeling involve in the AI development cycle? (Select one)
- ✓Creating the AI algorithmCorrect
- BImplementing the AI-based system
- CPlanning testing and evaluation of the AI-based system
- DCollecting training data
- Question 3
When testing an AI-based system, what challenges are associated with test data? (Select one)
- ✓The challenge of writing extensive algorithm code.Correct
- BEnsuring the test dataset is representative of real-world scenarios.
- CManaging the presence of biased data in the training dataset.
- DSelecting a test dataset that solely reflects the system's design.
- Question 4
In the process of training an AI model, what is the primary purpose of the validation dataset? (Select one)
- ✓To provide additional examples for trainingCorrect
- BTo assess the model's performance on unseen data
- CTo fine-tune the model's parameters
- DTo label the input data
- Question 5
Tina works for a leading AI-based recommendation system company. Her team is tasked with testing a new algorithm designed to enhance product recommendations. As a part of the testing phase, they need to ensure the data used for testing mirrors real-world scenarios to validate the algorithm's effectiveness.What does data preparation involve in AI testing, as per Tina's task?
- ✓Only collecting data from a single source.Correct
- BCollecting, transforming, and cleansing data to create representative test datasets.
- CCollecting data from production scenarios only
- DTransforming data without cleansing it.
- Question 6
John is a software tester specializing in AI-based systems. She's exploring the advantages of using virtual test environments for comprehensive and safe testing without risking real-world scenarios.What benefit does Emma identify for using a virtual test environment in testing dangerous scenarios for AI-based systems?In what way do virtual test environments assist in testing unusual scenarios, as understood by John?
- ✓By replicating financial trading conditions accurately.Correct
- BBy creating edge cases more easily than in the real world.
- CBy providing better observability and controllability.
- DBy simulating rare events or time-consuming setups.
- Question 7
In the context of testing AI-based software systems, what is the primary objective of input data testing?(Select three)
- ✓To maximize the size of the input dataset.Correct
- BTo ensure the input data covers only common and expected scenarios.
- CTo identify potential biases and ensure diverse and representative input data.
- DTo exclusively focus on the output results of the AI system.
- Question 8
In the context of testing an AI-based facial recognition system, why is careful data collection essential? (select one)
- ✓To occupy storage spaceCorrect
- BTo meet regulatory requirements only
- CTo ensure diverse representation of demographics
- DTo showcase the system's data storage capabilities
- Question 9
Sarah, a software tester, is responsible for evaluating an AI-based recommendation system for an e-commerce platform. She's considering the use of virtual test environments to conduct comprehensive testing without impacting the production system.How do virtual test environments contribute to the safety and risk mitigation during AI model testing, as understood by Sarah?
- ✓They don't contribute to safety and risk mitigation.Correct
- BThey allow AI models to be tested in isolation, preventing adverse effects on production systems or real data.
- CThey solely focus on scalability and variability in testing.
- DThey don't ensure safety during AI model testing.
- Question 10
Mark, a software engineer, is responsible for setting up a virtual test environment for testing an AI-based autonomous driving system. He understands the critical considerations necessary for ensuring the effectiveness and reliability of the environment.What is a crucial consideration to avoid when creating a virtual test environment, according to Mark's understanding?
- ✓Overemphasizing randomness to ensure varied testing outcomes.Correct
- BUsing limited and biased datasets to represent real-world scenarios.
- CNeglecting security measures, especially in sensitive data processing for AI models.
- DRigorously monitoring the virtual test environment during testing.
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