1.
What is the purpose of a data pipeline?
To store the actual data values in a database
To automate the process of moving and transforming data from different sources to a destination
To develop marketing strategies based on customer data
To visualize data using charts and graphs
2.
What is the purpose of data visualization tools?
To protect sensitive data from unauthorized access
To create visual representations of data to explore patterns, trends, and insights
To store the actual data values in a database
To develop marketing strategies based on customer data
3.
Which of the following is a common method for handling missing data?
Ignoring the missing data entirely
Deleting all rows with missing values
Imputing missing values based on the mean or median
All of the above
4.
In a time series analysis, which of the following is most important for identifying trends over time?
Scatter plot
Histogram
Line chart
Pie chart
5.
In statistical analysis, what does the term "p-value" represent?
The probability that the null hypothesis is true
The variance in the data
The significance level of a test result
The range of data values
6.
What is the purpose of a box plot?
To visualize the distribution of a numerical variable, showing the median, quartiles, and outliers
To visualize the relationship between two categorical variables
To predict the value of a continuous variable
To identify clusters of data points
7.
What is the function of a foreign key in relational databases?
It links records between tables
It stores unique data
It automatically indexes data
It normalizes data
8.
What is the role of data normalization in data processing?
To eliminate duplicate data
To transform data into a common format
To increase data size
To enhance data security
9.
What is the difference between quantitative and qualitative data?
Quantitative data is numerical, while qualitative data is descriptive
Qualitative data is numerical, while quantitative data is descriptive
Quantitative data is subjective, while qualitative data is objective
Qualitative data is subjective, while quantitative data is objective
10.
Which of the following best describes the primary goal of data normalization?
To reduce redundancy and improve data integrity
To increase the size of the dataset
To combine multiple data sources
To make data more complex
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