Question 1

You are pulling data from various databases using Python to compile a large dataset for analysis. How would you ensure the data’s accuracy and reliability?

Options :

A : Use the most recent data available in all databases.

B : Write the Python script in a way that it runs faster to save computational resources.

C : Compare a random subset of data with source records to validate accuracy.

D : Perform exploratory data analysis (EDA) only after data cleaning is done.

Answer: C

Question 2

Which of the following Python Pandas methods is most suitable for removing duplicate rows from a DataFrame?

Options :

A : df.dropna()

B : df.duplicated()

C : df.fillna()

D : df.drop_duplicates()

Answer: D

Question 3

While working with a dataset, you notice some outliers that are not errors but extreme values that are relevant to your analysis. How should you handle them for ensuring the reliability and accuracy of your Python data analysis?

Options :

A : Ignore the outliers as they are not errors

B : Apply a log transformation

C : Replace the outliers with median values

D : Remove the outliers

Answer: B

Question 4

Which of the following techniques should be avoided to ensure that your Python data scripting code is easily understandable and follows best practices?

Options :

A : Using descriptive variable names

B : Refactoring repetitive code into reusable functions

C : Documenting functions with docstrings

D : Using single-letter variable names for main variables

Answer: D

Question 5

Your dataset has multiple variables with different scales and units, making it challenging to compare them directly. You need to synthesize this data into a digestible report for decision-makers who are not data scientists. What should be your first step in preprocessing the data?

Options :

A : Perform natural language processing (NLP) on any text variables

B : Transform all variables into Z-scores

C : Conduct a chi-squared test for each variable

D : Apply hierarchical clustering to group similar variables

Answer: B

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