Python Institute PCED-30-01 Practice Exams
Last updated on Oct 22,2026- Exam Code: PCED-30-01
- Exam Name: Certified Entry-Level Data Analyst with Python
- Certification Provider: Python Institute
- Latest update: Oct 22,2026
What is the significance of data profiling in data pre-processing?
- A . Evaluating data quality and completeness
- B . Performing advanced statistical analysis
- C . Converting data types
- D . Visualizing data patterns
What is the term for the process of converting categorical data into numerical data during data pre-processing?
- A . Transformation
- B . Encoding
- C . Standardization
- D . Imputation
Which of the following is a typical challenge faced during data acquisition?
- A . Data cleaning
- B . Data visualization
- C . Data modeling
- D . Data inconsistency
What does the following Python code snippet do? “`python numbers = [1, 2, 3, 4, 5] squared = [x**2 for x in numbers] print(squared) “`
- A . Prints the original list of numbers
- B . Prints the square of each number in the list
- C . Prints the sum of the numbers in the list
- D . Prints the average of the numbers in the list
Which of the following is an advantage of using interactive plots for data visualization?
- A . Limited user engagement
- B . Ability to zoom, pan, and interact with data
- C . Fixed visual display
- D . Slow rendering speed
When conducting a hypothesis test, the p-value represents:
- A . The probability that the null hypothesis is true
- B . The probability of observing the data given that the null hypothesis is true
- C . The confidence level of the hypothesis test
- D . The probability of making a Type I error
What is outlier detection in the context of data pre-processing?
- A . Identifying extreme values or anomalies in the data
- B . Highlighting positive trends in the data
- C . Analyzing data to predict future outcomes
- D . Sorting data based on a predefined criteria
Which type of model is best suited for predicting a categorical outcome?
- A . Decision tree
- B . Simple linear regression
- C . K-means clustering
- D . Principal Component Analysis
What does the ‘range()’ function in Python do?
- A . Generates a random number
- B . Creates a list of integers starting from 0 up to a specified number
- C . Checks if a condition is satisfied
- D . Converts a string to a list
What is the purpose of cross-validation in data modeling?
- A . To split data into training and test sets
- B . To ensure the model generalizes well to unseen data
- C . To visualize data
- D . To create new features