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What does the term "Hadoop" refer to in data analytics?

  • A programming language
  • A data visualization tool
  • A distributed computing framework
  • A machine learning algorithm
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In data analytics, what is the purpose of feature scaling?

  • To visualize data
  • To clean and preprocess data
  • To perform feature engineering
  • To evaluate a model's performance
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What is the purpose of a confusion matrix in machine learning?

  • To visualize data
  • To evaluate a classification model's performance
  • To clean and preprocess data
  • To perform feature selection
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Which of the following techniques is used for recommendation systems?

  • Logistic regression
  • Singular Value Decomposition (SVD)
  • K-means clustering
  • Random forest
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Which of the following is NOT a method for feature selection?

  • Lasso regression
  • Recursive feature elimination
  • Principal Component Analysis (PCA)
  • Ridge regression
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Which of the following is a disadvantage of using Excel for data analysis?

  • Limited data storage capacity
  • Difficulty in creating visualizations
  • Inability to handle large datasets
  • Lack of formula functions
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Which of the following is NOT a data visualization tool?

  • Tableau
  • Power BI
  • Excel
  • TensorFlow
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What does the term "NLP" stand for in data analytics?

  • Natural Language Processing
  • Numeric Linear Programming
  • Network Layer Protocol
  • Normalized Loss Probability
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Which machine learning algorithm is used for classification problems?

  • Linear regression
  • K-means clustering
  • Decision tree
  • Apriori algorithm
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What is the purpose of cross-validation in machine learning?

  • To evaluate a model's performance on unseen data
  • To visualize data
  • To clean and preprocess data
  • To perform feature engineering
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What is the purpose of a dendrogram in hierarchical clustering?

  • To visualize data
  • To evaluate cluster quality
  • To store data efficiently
  • To represent the hierarchical relationship between clusters
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What is the purpose of data anonymization in data analytics?

  • To visualize data
  • To clean and preprocess data
  • To protect sensitive information
  • To evaluate a model's performance
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What is the purpose of data imputation in data analytics?

  • To visualize data
  • To clean and preprocess data
  • To perform feature engineering
  • To evaluate a model's performance
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What is the purpose of logistic regression in machine learning?

  • To predict continuous values
  • To classify data into discrete categories
  • To perform clustering
  • To detect outliers
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In data analytics, what does the term "RFM" stand for?

  • Recency, Frequency, Monetary
  • Regression, Forecasting, Modeling
  • Residuals, Factors, Measures
  • Random Forest Model
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Which of the following is NOT a type of data analytics?

  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Retrospective analytics
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Which of the following is NOT a type of data outlier?

  • Global outlier
  • Contextual outlier
  • Collective outlier
  • Sequential outlier
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Which of the following is NOT a dimensionality reduction technique?

  • Principal Component Analysis (PCA)
  • Singular Value Decomposition (SVD)
  • K-means clustering
  • t-Distributed Stochastic Neighbor Embedding (t-SNE)
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What does the term "BI" stand for in data analytics?

  • Business Inference
  • Business Integration
  • Business Intelligence
  • Business Interaction
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In data analytics, what does the term "ETL" stand for?

  • Extract, Transform, Load
  • Export, Transform, Load
  • Extract, Transfer, Load
  • Export, Transfer, Load
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Which of the following is an example of unstructured data?

  • Spreadsheet
  • Database table
  • Text document
  • CSV file
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Which of the following is a measure of data skewness?

  • Mean
  • Median
  • Variance
  • Skewness coefficient
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What is the primary objective of data analytics?

  • To visualize data
  • To generate reports
  • To extract insights from data
  • To store data efficiently
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What is the purpose of data preprocessing in data analytics?

  • To visualize data
  • To clean and prepare data for analysis
  • To generate reports
  • To store data efficiently
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Which statistical measure is used to measure the central tendency of a dataset?

  • Standard deviation
  • Variance
  • Mean
  • Median
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What does the term "IoT" stand for in data analytics?

  • Internet of Technology
  • Internet of Things
  • Information on Trends
  • Interactive Online Tools
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Which data visualization technique is suitable for showing the relationship between two continuous variables?

  • Scatter plot
  • Bar chart
  • Pie chart
  • Histogram
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Which of the following techniques is used for dimensionality reduction?

  • Linear regression
  • Decision tree
  • Singular Value Decomposition (SVD)
  • K-nearest neighbors
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What does the term "PCA" stand for in data analytics?

  • Principal Component Analysis
  • Predictive Classification Algorithm
  • Probabilistic Component Analysis
  • Precision-Corrected Approximation
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What does the acronym "EDA" stand for in data analytics?

  • Exploratory Data Analysis
  • Expected Data Assessment
  • Effective Data Analytics
  • Essential Data Aggregation
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