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1. Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
A) Al systems are inherently flexible.
B) Self-learning systems are expected to deal with new situations without explicitly having to program for it.
C) Al systems require changing of operational environments; therefore, flexibility is required.
D) Flexible Al systems allow for easier modification of the system as a whole.
2. 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) Threshold coverage
B) Neuron coverage
C) Sign change coverage
D) Value coverage
3. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
A) Hardware supporting high precision floating point operations.
B) High powered CPUs.
C) 64-bit CPUs.
D) Hardware supporting fast matrix multiplication.
4. Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
A) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
B) Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
C) Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
D) Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A |
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