Data Analyst Aptitude Test

Data Analyst Aptitude Test

1. What is the purpose of performing a data audit?
To collect new data
To ensure data quality and integrity
To visualize data trends
To generate reports
2. What does the term "data governance" refer to?
The process of storing data securely
The management of data availability, usability, integrity, and security
The cleaning of data for analysis
The visualization of data results
3. What is the purpose of a confusion matrix in classification tasks?
To visualize data distributions
To summarize the performance of a classification model
To calculate the mean of predictions
To determine the correlation between variables
4. What is the purpose of a primary key in a database table?
To store the most important data in the table
To uniquely identify each row in the table
To create a relationship between two tables
To sort the data in the table in a specific order
5. Which of the following best describes "big data"?
Data that is too large to be processed by traditional methods
Data that is only stored in spreadsheets
Data that is always numerical
Data that is collected from a single source
6. What does SQL stand for?
Structured Query Language
Statistical Query Language
Simple Query Language
System Query Language
7. What is the difference between structured and unstructured data?
Structured data is organized in a predefined format, while unstructured data has no predefined format
Unstructured data is organized in a predefined format, while structured data has no predefined format
Structured data is always numerical, while unstructured data is always textual
Unstructured data is always numerical, while structured data is always textual
8. Which of the following metrics is commonly used to evaluate the performance of a classification model?
Mean Absolute Error
Accuracy
Variance
Standard Deviation
9. In data modeling, what does ER stand for in ER diagrams?
Entity Relationship
Effective Range
Error Ratio
Estimated Results
10. 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
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