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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. Consider the following Python code:

What will be printed when the code above is executed?
40

A) [10, 20, 30, 40]
0
[1, 2, 3, 4, 5, 6]
50
B) [20, 30, 40]
1
[1, 2, 4, 5, 6]
50
C) [20, 30, 40]
1
[1, 2, 4, 5, 6]
D) [10, 20, 30, 40]
1
[1, 2, 4, 5, 6]
50

2. 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) None
B) 10
C) Error
D) 5

3. 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(set(colors))
color_counts = np.unique(colors)
B) from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np
C) from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np
D) from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np

4. A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.

A) JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
B) XML, because it automatically preserves spreadsheet formatting and charts.
C) CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
D) SQL, because it directly converts tabular data into database tables that Excel can open.

5. You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics

A) import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
B) import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
C) import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
D) import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics

Solutions: