Free Python Institute PCED Exam Questions

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

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Total 382 Questions | Updated On: Jul 02, 2025

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Question 1

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 2

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 3

You have a Pandas DataFrame that contains missing values. Which of the following methods will replace all NaNs with zeros?

A : df.fillna(value=0)

B : df.replace(to_replace=np.nan, value=0)

C : df['column_name'] = 0

D : df.dropna(subset=['column_name'])

Answer: A

Question 4

You are working with a dataset that includes both categorical and continuous features. Which of the following feature scaling techniques would be most appropriate for scaling only the continuous features?

A : Min-Max Scaling

B : One-Hot Encoding

C : Label Encoding

D : Ordinal Encoding

Answer: A

Question 5

You have developed a logistic regression model for a classification task. After training, you notice that both the training and validation errors are high. Which of the following might be the problem with your model?

A : The learning rate is too high.

B : The model is overfitting the data.

C : The model is too complex.

D : The model is underfitting the data.

Answer: D

Page: 1 / 77

Total 382 Questions | Updated On: Jul 02, 2025

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