CT-AI 試験問題を無料オンラインアクセス

Which of the following is a technique used in machine learning?

• A.Decision tables
• B.Decision trees
• C.Boundary value analysis
• D.Equivalence partitioning

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

A team of software testers is attempting to create an AI algorithm to assist in software testing. This particular team has gone through over 40 iterations of testing and cannot afford to spend as much time as it takes to run the full regression test suite. They are hoping to have the algorithm reduce the amount of testing required, thus reducing the time needed for each testing cycle.
How can an AI-based tool be expected to assist in this reduction?

• A.By using A/B testing to compare the last update with the newest change and compare metrics between the two
• B.By using a clustering method to quantify the relationships between test cases and then assigning each test case to a category
• C.By performing Bayesian analysis to estimate the types of human interactions that are expected to be seen in the system and then selecting those test cases
• D.By performing optimization of the data from past iterations to see where the most common defects occurred and select the corresponding test cases

Which of the following statements about the structure and function of neural networks is true?
Choose ONE option (1 out of 4)

• A.A single-layer perceptron is NOT a neural network
• B.Training a neural network only changes the values of the weights at the connections between neurons
• C.The input layer of a deep neural network must have at least as many neurons as its output layer
• D.The bias of a neuron is determined by the activation values of the neurons in the previous layer

An ML engineer performing supervised learning needs to label images of football games based on the location of the football in the image. Which ONE of the below labelling approaches can be used?

• A.Internal
• B.Annotation
• C.Augmentation
• D.Benchmarking