A.
a variable industry with categorical values such as financial, engineering, and retail
B.
a variable mood with a scale of values unhappy, ok, and happy
C.
a variable bank account balance whose possible values are $5, $10, and $15
D.
a variable temperature with a scale of values low, medium, and high
Answer:
C
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A
50%
B
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C
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D
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Question 8
A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount. If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)
A.
Find the sum of the transaction prices
B.
Select the largest transaction amount by month and store
C.
Write a GROUP BY query
D.
Plot a time series plot of transaction amounts
E.
Generate a pivot table
Answer:
BD
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A
50%
B
50%
C
50%
D
50%
E
50%
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Question 9
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.
0
B.
1
C.
3
D.
2
Answer:
B
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50%
B
50%
C
50%
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50%
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Question 10
In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?
A.
The number of hyperparameters you have to tune.
B.
The presence of local minima in your neural network.
C.
The amount of computational power you can access.
D.
Whether you use batch or mini-batch optimization.
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 69 inches
C.
71.5 inches and 76.5 inches
D.
66.5 inches and 71.5 inches
Answer:
B
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50%
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50%
C
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Question 12
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.) A. standard deviation = 0.5 B. expected value = 0 C. expected value = 0.5 D. expected value = 1 E. standard deviation = 1
Answer:
CE (none) Explanation
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Question 13
What is the main difference between traditional programming and machine learning?
A.
Machine learning models take less time to train.
B.
Machine learning takes full advantage of SDKs and APIs.
C.
Machine learning is optimized to run on parallel computing and cloud computing.
D.
Machine learning does not require explicit coding of decision logic.
Answer:
D
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A
50%
B
50%
C
50%
D
50%
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Question 14
What is the name of the design thinking work product that contains a summary description of a particular person or role?