- Exam Code: PCED-30-02
- Exam Name: PCED - Certified Entry-Level Data Analyst with Python
- Updated: Oct 05, 2026
- Q & A: 52 Questions and Answers
Python Institute PCED-30-02 actual dump : PCED - Certified Entry-Level Data Analyst with Python
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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Data and Data Analysis Concepts | 22.5% | - Define and Classify Data
|
| Topic 2: Working with Data and Performing Simple Analyses | 32.5% | - Data Cleaning and Transformation
|
| Topic 3: Python Basics for Data Analysis | 32.5% | - Data Structures
|
| Topic 4: Communicating Insights and Reporting | 12.5% | - Data Storytelling and Reporting
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question #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."
Correct Answer: D 🗳️
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Question #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.
Correct Answer: C 🗳️
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Question #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
Correct Answer: D 🗳️
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Question #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
Correct Answer: B 🗳️
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Question #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.
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Dumps members. You can sign-up / login (it's free).
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