100% Free PCED-30-01 Practice Exam Questions and Answers

Stay Ahead with Latest PCED-30-01 PCED Practice Test Questions 2026

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Total 382 Questions | Updated On: Nov 12, 2026

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Question 1

You are implementing an ETL pipeline to fetch data from a JSON-based API and load it into a data lake. The API provides a pagination feature that shows 100 records per page. Which of the following Python libraries is most suitable for performing HTTP requests to extract data from this API?

A : requests

B : os

C : numpy

D : pandas

Answer: A

Question 2

In a regression analysis of employee job satisfaction against years of experience, the p-value for the 'years of experience' variable is found to be 0.12. How should you interpret this result at a 0.05 significance level?

A : A p-value of 0.12 confirms that years of experience and job satisfaction are positively correlated.

B : Years of experience is not a statistically significant predictor of job satisfaction.

C : Years of experience is a statistically significant predictor of job satisfaction.

D : A p-value of 0.12 means that years of experience has a 12% impact on job satisfaction.

Answer: B

Question 3

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 4

After performing PCA on a dataset with 10 features, you get two principal components. Which of the following statements is true regarding these components?

A : Each principal component represents a cluster in the original dataset.

B : Principal components are scaled versions of the original features.

C : Each principal component is a linear combination of the original features.

D : The first principal component is always the most important feature in the original dataset.

Answer: C

Question 5

You are analyzing the relationship between hours of study and exam scores among students. After calculating, you find a correlation coefficient (r) of 0.9. Which of the following is the best interpretation?

A : Hours of study has a strong, positive correlation with exam scores

B : Hours of study has a moderate, negative effect on exam scores

C : Exam scores have no relationship with hours of study

D : Hours of study causes high exam scores

Answer: A

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Total 382 Questions | Updated On: Nov 12, 2026

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