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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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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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What does the term "SQL" stand for?

  • Structured Query Language
  • Structured Query Language
  • Standard Query Language
  • Systematic Query Language
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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 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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Which of the following is NOT a type of data sampling technique?

  • Random sampling
  • Stratified sampling
  • Sequential sampling
  • Cluster sampling
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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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In data analytics, what does the term "API" stand for?

  • Analytical Processing Interface
  • Application Programming Interface
  • Advanced Programming Interface
  • Algorithmic Processing Interface
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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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Which of the following is an example of unstructured data?

  • Spreadsheet
  • Database table
  • Text document
  • CSV file
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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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What does the term "KPI" stand for in data analytics?

  • Key Performance Indicator
  • Key Predictive Indicator
  • Knowledge Processing Interface
  • K-means Principal Integration
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Which of the following techniques is used for anomaly detection?

  • K-means clustering
  • Linear regression
  • Isolation Forest
  • Apriori algorithm
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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 techniques is used for dimensionality reduction?

  • Linear regression
  • Decision tree
  • Singular Value Decomposition (SVD)
  • K-nearest neighbors
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Which of the following is NOT a data type in Python?

  • Integer
  • String
  • Tuple
  • Array
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Which of the following is NOT a step in the data analytics process?

  • Data Exploration
  • Data Visualization
  • Data Cleaning
  • Data Generation
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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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Which of the following is NOT a measure of data similarity?

  • Euclidean distance
  • Cosine similarity
  • Jaccard similarity
  • Pearson correlation coefficient
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Which of the following techniques is used for text mining?

  • Linear regression
  • TF-IDF (Term Frequency-Inverse Document Frequency)
  • K-means clustering
  • Apriori algorithm
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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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Which of the following is a measure of data skewness?

  • Mean
  • Median
  • Variance
  • Skewness coefficient
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Which statistical measure is used to measure the spread of a dataset?

  • Mean
  • Median
  • Standard deviation
  • Mode
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Which of the following techniques is used for sentiment analysis?

  • K-means clustering
  • Linear regression
  • Naive Bayes classifier
  • Apriori algorithm
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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 a supervised learning algorithm?

  • K-means clustering
  • Linear regression
  • Apriori algorithm
  • PCA (Principal Component Analysis)
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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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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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What does the acronym "EDA" stand for in data analytics?

  • Exploratory Data Analysis
  • Expected Data Assessment
  • Effective Data Analytics
  • Essential Data Aggregation
Mark for review

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