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Python PCED Exam Sample Questions | SPOTO

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Question #1
Which of the following techniques can be used in data pre-processing for feature selection?
A. Principal Component Analysis (PCA)correct
B. Support Vector Machines (SVM)
C. k-Nearest Neighbors (k-NN)
D. Linear Regression
View answer
Correct Answer: A
Question #2
Which of the following libraries in Python is commonly used for creating interactive visualizations?
A. NumPy
B. Pandas
C. Matplotlibcorrect
D. Scikit-learn
View answer
Correct Answer: C
Question #3
You need to calculate the sum of all even numbers in a list numbers. Which code snippet accomplishes this?
A. Edit total = sum([num for num in numbers if num % 2 == 0])
B. Edit total = sum(num for num in numbers if num % 2 != 0)
C. Edit total = sum([num for num in numbers if num > 2])
D. Edit total = sum(numbers)
View answer
Correct Answer: A
Question #4
Which of the following is an example of data transformation in pre-processing?
A. Converting categorical variables into numerical onescorrect
B. Removing outliers from the dataset
C. Calculating the mean and standard deviation
D. Visualizing correlation between variables
View answer
Correct Answer: A
Question #5
What is the difference between regression and classification in data modeling?
A. Regression predicts continuous values, while classification predicts discrete categoriescorrect
B. Regression predicts discrete categories, while classification predicts continuous values
C. Regression and classification are the same
D. Regression cannot be applied to categorical data
View answer
Correct Answer: A
Question #6
Which of the following libraries in Python is commonly used for data visualization?
A. numpy
B. pandas
C. matplotlibcorrect
D. scikit-learn
View answer
Correct Answer: C
Question #7
What type of plot is commonly used to visualize the relationship between two numerical variables?
A. Box plot
B. Scatter plotcorrect
C. Histogram
D. Pie chart
View answer
Correct Answer: B
Question #8
Which type of correlation coefficient indicates a strong positive linear relationship between two variables?
A. -1
B. 1
C. 0
D. 0
View answer
Correct Answer: B
Question #9
What is the p-value in hypothesis testing?
A. The probability of making a Type I error
B. The probability of making a Type II error
C. The level of significance
D. The probability of observing the test statisticcorrect
View answer
Correct Answer: D
Question #10
Which of the following is used to perform integer division in Python?
A. /
B. //correct
C. *
D. %
View answer
Correct Answer: B
Question #11
What is the process of evaluating a model's performance using data that the model has not seen during training known as?
A. Model validation
B. Model training
C. Model testingcorrect
D. Model optimization
View answer
Correct Answer: C
Question #12
Which of the following is a typical challenge faced during data acquisition?
A. Data cleaning
B. Data visualization
C. Data modeling
D. Data inconsistencycorrect
View answer
Correct Answer: D
Question #13
What is the goal of feature selection in data modeling?
A. To add more noise to the data
B. To reduce the complexity of the modelcorrect
C. To overfit the model
D. To increase the accuracy of the model
View answer
Correct Answer: B
Question #14
Which of the following type of chart is commonly used to visualize hierarchical data structures?
A. Line chart
B. Scatter plot
C. Treemapcorrect
D. Histogram
View answer
Correct Answer: C
Question #15
What does the following Python code snippet do? ```python numbers = [1, 2, 3, 4, 5] squared = [x**2 for x in numbers] print(squared) ```
A. Prints the original list of numbers
B. Prints the square of each number in the listcorrect
C. Prints the sum of the numbers in the list
D. Prints the average of the numbers in the list
View answer
Correct Answer: B
Question #16
What does the coefficient of determination (R-squared) measure in statistical analysis?
A. The strength of the linear relationship between two variables
B. The probability of rejecting the null hypothesis
C. The variability in the dependent variable explained by the independent variablecorrect
D. The level of significance in a hypothesis test
View answer
Correct Answer: C
Question #17
Which of the following is a popular tool for creating dynamic and interactive data visualizations?
A. Excel
B. Tableaucorrect
C. SPSS
D. SAS
View answer
Correct Answer: B
Question #18
What is the purpose of cross-validation in data modeling?
A. To fit the model on the training data
B. To test the model on the training data to measure accuracy
C. To evaluate the model's performance on unseen datacorrect
D. To increase overfitting
View answer
Correct Answer: C
Question #19
What is the purpose of data acquisition in data analytics?
A. Storing data
B. Cleaning data
C. Collecting and importing datacorrect
D. Visualizing data
View answer
Correct Answer: C
Question #20
What is the significance of data profiling in data pre-processing?
A. Evaluating data quality and completenesscorrect
B. Performing advanced statistical analysis
C. Converting data types
D. Visualizing data patterns
View answer
Correct Answer: A
Question #21
Which of the following techniques can be used in data pre-processing to handle missing values?
A. Removing rows with missing values
B. Replacing missing values with the mean of the columncorrect
C. Ignoring missing values altogether
D. Filling missing values with zeros
View answer
Correct Answer: B
Question #22
Which statistical test is used to determine whether there is a significant difference between the means of two or more independent groups?
A. Chi-square test
B. Paired t-test
C. ANOVAcorrect
D. Wilcoxon signed-rank test
View answer
Correct Answer: C
Question #23
In data analytics, what does the term "feature engineering" refer to?
A. Creating new features from existing datacorrect
B. Removing features from the dataset
C. Engineering the physical features of the data
D. Analyzing features in detail
View answer
Correct Answer: A
Question #24
What type of plot would be most suitable for comparing the distribution of a numerical variable across different categories?
A. Scatter plot
B. Pie chart
C. Box plot
D. Bar plotcorrect
View answer
Correct Answer: D
Question #25
What is the purpose of data analysis in the context of data modeling?
A. To clean and preprocess the data
B. To visualize the data
C. To identify patterns and relationships in the datacorrect
D. To deploy machine learning models
View answer
Correct Answer: C
Question #26
Which of the following is an example of structured data in the context of data acquisition?
A. Images
B. Text files
C. CSV filecorrect
D. PDFs
View answer
Correct Answer: C
Question #27
Which of the following techniques can be used for outlier detection in data pre-processing?
A. Data imputation
B. Standard deviation methodcorrect
C. Mean replacement
D. Data normalization
View answer
Correct Answer: B
Question #28
Which of the following Python libraries is commonly used for data pre-processing tasks such as cleaning and transforming data?
A. NumPy
B. Matplotlib
C. TensorFlow
D. Pandascorrect
View answer
Correct Answer: D
Question #29
What does the "range()" function in Python do?
A. Generates a list of numberscorrect
B. Filters elements in a list
C. Returns the length of a list
D. Reverses the order of elements in a list
View answer
Correct Answer: A
Question #30
What is the output of the following code snippet? ```python x = 5 y = 2 print(x ** y) ```
A. 7
B. 10
C. 25correct
D. 32
View answer
Correct Answer: C

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