Python Institute PCED - Certified Entry-Level Data Analyst with Python : PCED-30-02

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

1. A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?

A) True
B) None
C) Error
D) False

2. A government agency collects citizen data for various public services.
What is the primary reason for emphasizing careful data management throughout the entire data lifecycle in this context? Select the best answer.

A) To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.
B) To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.
C) To streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.
D) To guarantee the long-term availability and integrity of crucial citizen datasets for future policy formulation and evaluation.

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

4. You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A) fields = line.split().strip(', ')
B) fields = line.replace(', ', '|').split('|')
C) fields = line.split(', ').trim()
D) fields = line.strip().split(', ')

5. 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 = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np
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 = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
D) from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)

Solutions: