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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. You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A) "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
B) "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
C) The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
D) "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."

2. Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

A) Designing a data pipeline to ingest and process real-time sensor data.
B) Developing machine learning algorithms to predict user behavior.
C) Creating summary tables and charts to describe patterns in historical data.
D) Recommending pricing strategies using predictive modeling and A/B testing.

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

4. A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

A) 5, 4, 3, 2, 1
B) 5, 3, 1
C) 4, 2, 0
D) 5, 3

5. You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.

A)

B)

C)

Solutions: