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

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

2. A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

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

3. A dictionary is defined as d = {"a":1, "b":2}. The programmer accesses d["c"]. What happens when this line executes?

A) Returns 0
B) Returns None
C) Raises KeyError
D) Adds key automatically

4. You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?

A) 10
B) 24
C) 14
D) 20

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

Solutions: