C1000-059無料問題集「IBM AI Enterprise Workflow V1 Data Science Specialist」

質問 1

A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).
Which two explicit functions are implemented by this neural network? (Choose two.)

（A）y = ReLU(affine1(x), affine2(x))

（B）y = affine2(max(affine1(x), 0))

（C）y = affine1(ReLU(affine2(x)))

（D）y = affine2(ReLU(affine1(x)))

（E）y = max(affine1(x), affine2(x))

正解：B、D 解答を投票する

質問 2

Which one is the most appropriate use case for artificial intelligence (AI)?

（A）compressing large video files

（B）creating a pivot table with monthly costs

（C）detecting objects in video streams

（D）aggregating sales revenue per state

正解：D 解答を投票する

質問 3

If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .

（A）64 inches and 74 inches

（B）66.5 inches and 71.5 inches

（C）66.5 inches and 69 inches

（D）71.5 inches and 76.5 inches

正解：C 解答を投票する

質問 4

A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and another cat.
Assuming they used a binary vectorizer, what is the resulting weight for the word cat?

（A）3

（B）1

（C）2

（D）0

正解：B 解答を投票する

質問 5

Which is an example of a nominal scale data?

（A）a variable bank account balance whose possible values are $5, $10, and $15

（B）a variable mood with a scale of values unhappy, ok, and happy

（C）a variable temperature with a scale of values low, medium, and high

（D）a variable industry with categorical values such as financial, engineering, and retail

正解：A 解答を投票する

質問 6

With only limited labeled data available how might a neural network use case be realized?

（A）by creating random data

（B）by using a customized pre-trained model

（C）by assigning random labels

（D）by increasing the depth of the neural network

正解：B 解答を投票する

C1000-059 無料問題集「IBM AI Enterprise Workflow V1 Data Science Specialist」

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