Python PCED Exam Questions and Answers, Python Institute Entry-Level Data Analyst with Python | SPOTO

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Question #1

What is the purpose of data integration in the data acquisition process?

A. Removing irrelevant data

B. Combining data from multiple sourcescorrect

C. Sorting data into categories

D. Performing statistical analysis on the data

View answer

Correct Answer: B

Question #2

Which of the following is NOT an example of data cleaning in the pre-processing stage?

A. Removing duplicate entries

B. Converting categorical data to numerical values

C. Handling missing values

D. Aggregating data from multiple sources without validationcorrect

View answer

Correct Answer: D

Question #3

Which of the following Python libraries is commonly used for data analysis and modeling?

A. TensorFlow

B. Matplotlib

C. NumPycorrect

D. Django

View answer

Correct Answer: C

Question #4

What statistical analysis technique is used to determine the relationship between two continuous variables?

A. T-test

B. ANOVA

C. Pearson correlationcorrect

D. Chi-square test

View answer

Correct Answer: C

Question #5

What is outlier detection in the context of data pre-processing?

A. Identifying extreme values or anomalies in the datacorrect

B. Highlighting positive trends in the data

C. Analyzing data to predict future outcomes

D. Sorting data based on a predefined criteria

View answer

Correct Answer: A

Question #6

What type of plot is best used for showing the relationship between two continuous variables?

A. Bar chart

B. Line plot

C. Scatter plotcorrect

D. Pie chart

View answer

Correct Answer: C

Question #7

What is the main purpose of statistical analysis in data analytics?

A. To organize data

B. To visualize data

C. To draw conclusions from datacorrect

D. To collect data

View answer

Correct Answer: C

Question #8

Which technique is used to evaluate the performance of a data model?

A. Confusion matrixcorrect

B. Histogram

C. Scatter plot

D. Line chart

View answer

Correct Answer: A

Question #9

What does the 'split()' method do when called on a string in Python?

A. Joins multiple strings together

B. Splits a string into a list based on a specified delimitercorrect

C. Reverses the characters in a string

D. Removes all spaces from a string

View answer

Correct Answer: B

Question #10

Which library is best suited for creating advanced statistical visualizations in Python?

A. NumPy

B. Matplotlib

C. Seaborn

D. Pandas

View answer

Correct Answer: C

Question #11

Which of the following is a key advantage of using dashboards in data visualization?

A. Dashboards allow for complex data analysis

B. Dashboards provide real-time data updates

C. Dashboards help in creating interactive visualizations

D. Dashboards simplify the presentation of multiple visualizations in one placecorrect

View answer

Correct Answer: D

Question #12

In statistical analysis, what does the term "p-value" represent?

A. The effect size of a study

B. The probability of wrongly rejecting a true null hypothesiscorrect

C. The confidence interval of a parameter estimate

D. The level of significance in a hypothesis test

View answer

Correct Answer: B

Question #13

In the context of data acquisition, what does ETL stand for?

A. Extract, Transform, Loadcorrect

B. Extract, Transfer, Load

C. Edit, Transform, Load

D. Enhance, Transform, Load

View answer

Correct Answer: A

Question #14

What is the purpose of data analysis in the context of a Python programming for data analytics?

A. To collect data

B. To visualize data

C. To interpret datacorrect

D. To delete data

View answer

Correct Answer: C

Question #15

Which of the following are NumPy aggregation functions? ?(Select three.)

A. np

B. np

C. np

D. np

E. np

View answer

Correct Answer: ABC

Question #16

Which statistical test is used to determine if there is a significant difference between the means of two independent groups?

A. T-testcorrect

B. ANOVA

C. Chi-square test

D. Regression analysis

View answer

Correct Answer: A

Question #17

In the context of data modeling, what is overfitting?

A. Training a model on the training data until it perfectly fits the noise in the datacorrect

B. Training a model on the training data and achieving high accuracy

C. Training a model on the testing data and achieving high accuracy

D. A technique to handle missing values in the dataset

View answer

Correct Answer: A

Question #18

When is the mode the most appropriate measure of central tendency to use?

A. When the data is normally distributed

B. When the data has outliers

C. When the data is skewed

D. When the data is categoricalcorrect

View answer

Correct Answer: D

Question #19

You have a dataset where the standard deviation is very high. What does this indicate about the data?

A. The data is normally distributed

B. The data points are widely spread out

C. There are no outliers in the dataset

D. The dataset has many duplicate values

View answer

Correct Answer: B

Question #20

What type of plot would be most suitable for showing the distribution of a single numerical variable?

A. Scatter plot

B. Bar plot

C. Histogramcorrect

D. Box plot

View answer

Correct Answer: C

Question #21

Which of the following color schemes is recommended for data visualization to ensure accurate interpretation of data?

A. Vibrant and random color combinations

B. A monochromatic color schemecorrect

C. Neon colors for emphasis

D. A chaotic mix of colors

View answer

Correct Answer: B

Question #22

In a line plot, what do the points connected by a line represent?

A. Mean values

B. Median values

C. Maximum values

D. Sequential data pointscorrect

View answer

Correct Answer: D

Question #23

What statistical test is used to compare means between more than two groups or conditions?

A. Independent samples t-test

B. Paired t-test

C. ANOVAcorrect

D. Wilcoxon signed-rank test

View answer

Correct Answer: C

Question #24

Which of the following is NOT a commonly used data acquisition method?

A. Web scraping

B. API integration

C. Data visualizationcorrect

D. Manual data entry

View answer

Correct Answer: C

Question #25

What is the result of the following Python code? ```python a = 10 b = 5 result = a % b print(result) ```

A. 2

B. 5

C. 0

D. 1correct

View answer

Correct Answer: D

Question #26

What is the first step in the data acquisition process?

A. Data cleaning

B. Data validation

C. Data collectioncorrect

D. Data visualization

View answer

Correct Answer: C

Question #27

How do you comment out 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 #28

Which of the following is a common approach for data modeling?

A. Linear regression

B. K-means clustering

C. Principal component analysis (PCA)

D. Random forestcorrect

View answer

Correct Answer: D

Question #29

Which measure of central tendency is affected by outliers?

A. Meancorrect

B. Median

C. Mode

D. Range

View answer

Correct Answer: A

Question #30

Your Python program frequently fails when connecting to an external API. What can you do to improve reliability?

A. Use exception handling to retry the connection

B. Increase the API response timeout

C. Remove error handling to identify the root cause

D. Execute API calls in a loop without exceptions

View answer

Correct Answer: A

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