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WGU Foundations-of-Computer-Science Exam Syllabus Topics:

WGU Foundations of Computer Science Sample Questions:

1. What is a key advantage of using NumPy when handling large datasets?

A) Efficient storage and computation
B) Automatic data cleaning
C) Built-in machine learning algorithms
D) Interactive visualizations

2. How can a user subset a NumPy array bmi to only include values over 23?

A) bmi.select(23)
B) bmi.where(bmi > 23)
C) bmi.get_values(>23)
D) bmi[bmi > 23]

3. What happens if you try to create a NumPy array with different types?

A) The array will be created with no issues.
B) The array will contain a single type, converting all elements to that type.
C) The array will be split into multiple arrays, one for each type.
D) The array will be created, but calculations will not be possible.

4. What is the slicing outcome of client_locations[1:3] from client_locations = ["TX", "AZ", "UT", "NY"]?

A) ["UT", "NY"]
B) ["TX", "AZ"]
C) ["AZ", "UT"]
D) ["TX", "UT"]

5. What is the built-in data structure that implements a hash table in Python?

A) Array
B) Dictionary
C) List
D) Tuple

Solutions: