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
In the context of data modeling, what is overfitting?
- A . Training a model on the training data until it perfectly fits the noise in the data
- B . Training a model on the training data and achieving high accuracy
- C . Training a model on the testing data and achieving high accuracy
- D . A technique to handle missing values in the dataset
Which of the following statistical tests is used to compare means of two independent groups?
- A . t-test
- B . ANOVA
- C . Chi-square test
- D . Mann-Whitney U test
What is the purpose of data integration in the data acquisition process?
- A . Removing irrelevant data
- B . Combining data from multiple sources
- C . Sorting data into categories
- D . Performing statistical analysis on the data
In clustering analysis, what is the goal of the K-means algorithm?
- A . To minimize within-cluster variance
- B . To maximize between-cluster variance
- C . To identify outliers in the dataset
- D . To draw decision boundaries between classes
In a comparison of means between two groups, which statistical test is appropriate when the assumption of equal variances is violated?
- A . Independent t-test
- B . Welch’s t-test
- C . Paired t-test
- D . ANOVA
What library in Python is commonly used for data visualization and creating charts and graphs?
- A . Pandas
- B . Matplotlib
- C . NumPy
- D . Scikit-learn
What is the correct way to define a function in Python?
- A . function my_function():
- B . define my_function()
- C . def my_function():
- D . function: my_function
Which of the following techniques can be used for outlier detection in data pre-processing?
- A . Data imputation
- B . Standard deviation method
- C . Mean replacement
- D . Data normalization
What is the purpose of cross-validation in data modeling?
- A . To fit the model on the training data
- B . To test the model on the training data to measure accuracy
- C . To evaluate the model’s performance on unseen data
- D . To increase overfitting
Which technique is commonly used for predictive modeling in machine learning?
- A . Linear regression
- B . Hierarchical clustering
- C . Principal component analysis
- D . K-means clustering