Free Python Institute PCED-30-01 Exam Questions

Become Python Institute Certified with updated PCED-30-01 exam questions and correct answers

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Total 382 Questions | Updated On: Feb 10, 2026

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Question 1

Suppose you are working on a classification problem with an imbalanced dataset. Which of the following techniques would not be effective for addressing the issue?

A : Using accuracy as the evaluation metric

B : Using the Synthetic Minority Over-sampling Technique (SMOTE)

C : Using different evaluation metrics such as F1-score.

D : Under-sampling the majority class

Answer: A

Question 2

You are using Python to analyze data from IoT sensors. You notice that some data points are far off from what you'd expect. What is the most appropriate course of action to ensure data accuracy and reliability?

A : Consult with domain experts to interpret the outliers

B : Ignore the outliers as they add variance to your dataset

C : Replace the outliers with the median value of the dataset

D : Remove the outliers and proceed with the analysis

Answer: A

Question 3

What is the primary reason to use PCA (Principal Component Analysis) over t-SNE when visualizing high-dimensional data?

A : PCA is non-linear while t-SNE is linear

B : PCA is more computationally efficient for large datasets

C : PCA retains local structure while t-SNE focuses on global structure

D : PCA gives a more accurate representation of distances between clusters

Answer: B

Question 4

You are given a DataFrame df with a column 'Date' of type string in the format 'YYYY-MM-DD'. You want to filter the rows where the year is 2020. Which of the following code snippets is the most efficient way to do so?

A : df[pd.to_datetime(df['Date']).dt.year == 2020]

B : df[df['Date'].str.contains('2020')]

C : df[df['Date'].str.slice(0, 4) == '2020']

D : df[df['Date'].apply(lambda x: x.split('-')[0]) == '2020']

Answer: C

Question 5

You're working with a DataFrame df that contains the exam scores of students in three different classes: Math, Science, and History. You're interested in determining if the mean exam score significantly differs between these classes. What would be the most appropriate statistical test to use?

A : One-way ANOVA

B : Pearson Correlation Test

C : Paired t-test

D : Independent Samples t-test

Answer: A

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Total 382 Questions | Updated On: Feb 10, 2026

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