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Which AI-specific test objective and acceptance criterion should be selected MOST LIKELY for testing GPT_Legal?

Choose ONE option (1 out of 4)

ATest objective: Evidence of functional safetyAcceptance criterion: The system recognizes failures in the transmission of information and data with the DPMA system and the evaluation system by means of self-tests.

BTest objective: Evidence of evolutionAcceptance criterion: The quality of the research results does not deteriorate with further training.

CTest objective: Evidence of compatibilityAcceptance criterion: The system can exchange information with the DPMA system and the evaluation system.

DTest objective: Evidence that the data is free from inappropriate biasAcceptance criterion: The DPMA's analysis data is statistically compared to data from other sources.

Question 2

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 determined this is because the developers are changing the identifiers when they make code updates. How could AI help make the automation more reliable?

AIt could identify the objects multiple ways and then determine the most commonly used and stable identification for each object

BIt could modify the automation code to ignore unrecognizable objects to avoid failures

CIt could dynamically name the objects, altering the source code, so the object names will match the object names used in the automation

DIt could generate a model that will anticipate developer changes and pre-alter the test automation code accordingly

Question 3

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 created that should increase the accuracy of the predictions based on user typing patterns. The old algorithm was rated for accuracy by the users. Then, after the new update was released, the users rated the updated algorithm. A statistical test was used to compare the two versions of the algorithm to see whether or not the update should remain in place.

This is an example of what type of testing?

AMetamorphic testing

BA/B testing

CExploratory testing

DPairwise testing

Question 4

Which of the following approaches would help overcome testing challenges associated with probabilistic and non-deterministic AI-based systems?

ARun the test several times to ensure that the AI always returns the same correct test result

BDecompose the system test into multiple data ingestion tests to determine if the AI system is getting a sufficient volume of input data

CDecompose the system test into multiple data ingestion tests to determine if the AI system is getting precise and accurate input data

DRun the test several times to generate a statistically valid test result to ensure that an appropriate number of answers are accurate

Question 5

Which of the following is correct regarding the layers of a deep neural network?

AThere is only an input and output layer

BThere is at least one internal hidden layer

CThere must be a minimum of five total layers to be considered deep

DThe output layer is not connected with the other layers to maintain integrity

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