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 will be the output of the following Python code snippet? “`python list1 = [1, 2, 3] list2 = [4, 5] print(list1 + list2) “`
- A . [1, 2, 3, 4, 5]
- B . [[1, 2, 3], [4, 5]]
- C . [1, 2, 3, [4, 5]]
- D . Error, lists cannot be concatenated in Python
Which type of visualization is best suited for comparing the distribution of a numerical variable across different categories?
- A . Scatter plot
- B . Box plot
- C . Line chart
- D . Histogram
When evaluating a classification model, which metric can be used to assess the balance between precision and recall?
- A . Accuracy
- B . F1 score
- C . Mean squared error
- D . R-squared
What will be the output of the following code snippet in Python? “` my_string = "Hello, World!" print(my_string[3:7]) “`
- A . lo, W
- B . llo,
- C . ello
- D . lo, W
What is the process of converting text data into a numerical format that can be used for analysis in machine learning algorithms?
- A . Feature Engineering
- B . Data Normalization
- C . Text Pre-Processing
- D . Data Wrangling
Which of the following libraries in Python can be used for data visualization?
- A . TensorFlow
- B . Pandas
- C . Matplotlib
- D . NumPy
Which of the following techniques can be used for data sampling during data acquisition?
- A . Importing entire datasets for analysis
- B . Downsampling to reduce dataset size
- C . Collecting data from multiple sources simultaneously
- D . Upsampling to increase dataset size
Which of the following metrics is commonly used to evaluate the performance of classification models?
- A . Mean Absolute Error
- B . R-squared
- C . Accuracy
- D . Root Mean Squared Error
What is the process of evaluating a model’s performance using data that the model has not seen during training known as?
- A . Model validation
- B . Model training
- C . Model testing
- D . Model optimization
When should a p-value be less than 0.05 in order to reject the null hypothesis?
- A . Always
- B . Never
- C . When the test is not statistically significant
- D . When the test is statistically significant