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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q17-Q22):
NEW QUESTION # 17
You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?
- A. To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data)) - B. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data)) - C. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))
Answer: A
Explanation:
NumPy is installed with pip install numpy, then imported with import numpy as np. After that, you can create an array and compute the mean using np.array(...) and np.mean(...).
NEW QUESTION # 18
You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:
You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique
- A. from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np - B. from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np - C. from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np - D. from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)
Answer: A
Explanation:
numpy.unique returns the distinct values in the list, and taking its length gives the number of unique colors. Counter(colors) correctly counts how many times each color appears in the responses.
NEW QUESTION # 19
A student writes a program using input() to collect user data, then tries to add 5 to the input value without conversion. The program crashes. What is the most likely cause of this behavior?
- A. Syntax error
- B. input returns string
- C. input returns float
- D. input returns int
Answer: B
Explanation:
The input() function always returns a string. Attempting to add an integer to a string causes a TypeError. The input must be explicitly converted using int() or float() before performing arithmetic operations.
NEW QUESTION # 20
A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?
- A. 3 and 3.5
- B. 3 and 4
- C. 3.5 and 3
- D. 4 and 3
Answer: C
Explanation:
The / operator performs true division, returning a float result of 3.5. The // operator performs floor division, truncating the decimal part and returning the integer value 3.
NEW QUESTION # 21
A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?
- A. Error
- B. None
- C. 0
- D. 1
Answer: D
Explanation:
Integers are immutable in Python. Reassigning b to a new value does not affect a or c, which still reference the original integer value 10.
NEW QUESTION # 22
......
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