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Latest Python PCED Exam Questions and Answers, 2025 Update | SPOTO

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Question #1
Why is data normalization important in data pre-processing?
A. It helps in increasing the size of the dataset
B. It ensures that all features have the same scalecorrect
C. It makes the data difficult to interpret
D. It slows down the data analysis process
View answer
Correct Answer: B
Question #2
Which of the following Python libraries is commonly used for data manipulation and analysis?
A. Pandascorrect
B. Matplotlib
C. NumPy
D. Scikit-learn
View answer
Correct Answer: A
Question #3
Which measure of central tendency is influenced by outliers in a dataset?
A. Meancorrect
B. Median
C. Mode
D. Range
View answer
Correct Answer: A
Question #4
What is the purpose of data pre-processing in a data analytics workflow?
A. To make the data more difficult to analyze
B. To remove noise and irrelevant informationcorrect
C. To increase the computational complexity
D. To slow down the data analysis process
View answer
Correct Answer: B
Question #5
When dealing with missing data in a dataset, what is a common approach for handling it?
A. Filling missing values with the mean of the columncorrect
B. Removing the entire row with missing data
C. Filling missing values with a random number
D. Ignoring the missing values
View answer
Correct Answer: A
Question #6
Which of the following is NOT a commonly used tool for data acquisition and pre-processing?
A. Python
B. SQL
C. Excel
D. Tableaucorrect
View answer
Correct Answer: D
Question #7
What is the primary purpose of data visualization in the field of data analytics?
A. To make data look visually appealing
B. To communicate insights and trends in data effectivelycorrect
C. To confuse the audience with complex charts
D. To simply represent data without any analysis
View answer
Correct Answer: B
Question #8
What does skewness measure in a data distribution?
A. Spread of the data
B. Symmetry of the datacorrect
C. Deviation from the mean
D. Kurtosis of the data
View answer
Correct Answer: B
Question #9
What is the primary purpose of data normalization in data analysis?
A. To identify outliers in the dataset
B. To ensure consistent file formatting
C. To remove missing values from the dataset
D. To scale variables for easier comparison
View answer
Correct Answer: D
Question #10
Which of the following metrics is commonly used to evaluate classification models in data analytics?
A. Mean Squared Error
B. Receiver Operating Characteristic (ROC) curve
C. R-squared
D. Accuracycorrect
View answer
Correct Answer: D
Question #11
What is the process of combining data from multiple sources into a single, coherent view called?
A. Data visualization
B. Data integrationcorrect
C. Data cleaning
D. Data transformation
View answer
Correct Answer: B
Question #12
A client requests a summary of product sales grouped by category. Which Pandas function should you use?
A. aggregate()
B. groupby()
C. sort_values()
D. pivot_table()
View answer
Correct Answer: B
Question #13
In Python, what is the result of 2**3?
A. 6
B. 5
C. 8correct
D. 4
View answer
Correct Answer: C
Question #14
Which of the following is true about Python's function arguments?
A. Python supports named arguments but not default arguments
B. Python supports default arguments but not variable-length arguments
C. Python supports default arguments, named arguments, and variable-length argumentscorrect
D. Python does not support function arguments
View answer
Correct Answer: C
Question #15
Which technique is commonly used in machine learning for splitting a dataset into training and testing sets?
A. Randomization
B. Normalization
C. One-hot encoding
D. Train-test splitcorrect
View answer
Correct Answer: D
Question #16
What is the purpose of data acquisition in the context of data analytics?
A. Collecting data from various sourcescorrect
B. Preparing data for visualization
C. Analyzing data patterns
D. Presenting data findings
View answer
Correct Answer: A
Question #17
What is the correct way to comment a single line of code in Python?
A. // This is a comment
B. /* This is a comment */
C. # This is a commentcorrect
View answer
Correct Answer: C
Question #18
Which of the following is NOT a common method for data acquisition?
A. Web scraping
B. Data preprocessingcorrect
C. API integration
D. Database querying
View answer
Correct Answer: B
Question #19
Which are differences between DataFrame and Series in Pandas? (Select three.)
A. A DataFrame has multiple columns; a Series has one
B. A Series is one-dimensional; a DataFrame is two-dimensional
C. A Series can store only integers
D. A DataFrame uses row and column indices; a Series uses a single index
E. A Series cannot store strings
View answer
Correct Answer: ABD
Question #20
Which of the following is an advantage of using seaborn for data visualization in Python?
A. Limited customization options
B. High-level interface for creating attractive plotscorrect
C. Slow rendering speed
D. Limited compatibility with other libraries
View answer
Correct Answer: B
Question #21
In data pre-processing, what is the purpose of data cleaning?
A. Removing missing values and duplicatescorrect
B. Transforming data into a usable format
C. Calculating summary statistics
D. Visualizing data patterns
View answer
Correct Answer: A
Question #22
Which of the following is NOT a commonly used method for data pre-processing?
A. Data cleaning
B. Data integration
C. Data visualizationcorrect
D. Data transformation
View answer
Correct Answer: C
Question #23
What is the output of the following Python code snippet? ```python print(5 / 2) ```
A. 2
B. 2
C. 2
D. 2
View answer
Correct Answer: A
Question #24
Which function in pandas is used to create a line plot from a DataFrame?
A. plot()correct
B. scatter()
C. boxplot()
D. hist()
View answer
Correct Answer: A
Question #25
Which machine learning algorithm is commonly used for clustering in data modeling?
A. Decision tree
B. K-meanscorrect
C. Linear regression
D. Random forest
View answer
Correct Answer: B
Question #26
What is the purpose of regression analysis in statistical analysis?
A. To summarize the data
B. To determine cause and effect relationshipscorrect
C. To identify trends over time
D. To calculate probabilities
View answer
Correct Answer: B
Question #27
What is the purpose of a confidence interval in statistical analysis?
A. To determine the significance level of a hypothesis test
B. To estimate the range within which the population parameter is likely to fallcorrect
C. To calculate the p-value of a statistical test
D. To identify outliers in a dataset
View answer
Correct Answer: B
Question #28
Which of the following is not a valid variable name in Python?
A. my_var
B. myVar
C. 1_varcorrect
D. _var
View answer
Correct Answer: C
Question #29
What is the goal of data modeling in the field of data analytics?
A. To organize data
B. To analyze data
C. To make predictions based on datacorrect
D. To clean data
View answer
Correct Answer: C
Question #30
What does a positive Pearson’s correlation coefficient (r) indicate?
A. No relationship between variables
B. A weak negative correlation
C. A strong positive correlation
D. An inverse relationship
View answer
Correct Answer: C

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