#1
What is the primary goal of Business Intelligence (BI)?
To analyze historical data
To predict future trends
To improve decision-making
To automate routine tasks
#2
Which programming language is commonly used for implementing data science algorithms?
#3
What does the acronym SQL stand for in the context of databases?
Structured Query Language
System Quality Logic
Sequential Question Language
Semantic Query Logic
#4
Which statistical measure is used to describe the spread of data in a dataset?
Mean
Median
Standard Deviation
Mode
#5
Which of the following is an example of supervised learning?
K-means clustering
Decision tree
Principal Component Analysis (PCA)
Linear regression
#6
In the context of data visualization, what does a histogram represent?
Distribution of categorical data
Distribution of numerical data
Relationship between two variables
Temporal patterns in data
#7
In the context of data science, what does the term 'EDA' stand for?
Enterprise Data Analysis
Exploratory Data Analysis
Effective Data Assessment
Extreme Data Analytics
#8
What is the main purpose of a decision tree in machine learning?
To represent hierarchical decisions visually
To perform regression analysis
To cluster data points
To conduct hypothesis testing
#9
In data science, what is the purpose of the term 'feature engineering'?
Creating artificial features
Selecting the most important features
Transforming raw data into input features
Engineering software features
#10
What is the primary role of a Data Warehouse in business intelligence?
Real-time data processing
Long-term data storage
Data exploration
Data visualization
#11
What is the role of a data scientist in the data science process?
Designing databases
Creating user interfaces
Building machine learning models
Managing network infrastructure
#12
What is the purpose of the K-means clustering algorithm?
Classification
Regression
Clustering
Association rule learning
#13
What is the purpose of the 'bias' term in a neural network?
To reduce overfitting
To introduce randomness
To offset errors in predictions
To speed up training
#14
What is the primary purpose of A/B testing in the field of data science?
To compare two different algorithms
To analyze user behavior
To test the effectiveness of changes
To perform clustering analysis
#15
What does the term 'Big Data' refer to in the context of data science?
Any large dataset
Data with high velocity
Data with high variety
Data with high volume, velocity, and variety
#16
What is the purpose of a confusion matrix in machine learning?
To measure accuracy
To evaluate classification performance
To calculate precision
To perform feature selection
#17
What is the purpose of the term 'cross-validation' in machine learning?
To split data into training and testing sets
To validate model predictions on unseen data
To prevent overfitting
To handle missing data
#18
What is the purpose of the term 'ensemble learning' in machine learning?
To combine predictions from multiple models
To train a single model
To visualize high-dimensional data
To perform feature scaling