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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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What is the purpose of A/B testing in data analytics?

  • To compare different versions of a web page or application
  • To visualize data
  • To clean and preprocess data
  • To perform sentiment analysis
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Which of the following is NOT a step in the CRISP-DM framework?

  • Data Understanding
  • Data Visualization
  • Data Preparation
  • Model Evaluation
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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 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 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 term "IoT" stand for in data analytics?

  • Internet of Technology
  • Internet of Things
  • Information on Trends
  • Interactive Online Tools
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Which of the following techniques is used for time series forecasting?

  • Linear regression
  • ARIMA (AutoRegressive Integrated Moving Average)
  • K-means clustering
  • Apriori algorithm
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Which of the following techniques is used for association rule mining?

  • K-means clustering
  • Linear regression
  • Linear regression
  • Decision tree
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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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Which of the following is NOT a classification metric?

  • Accuracy
  • Mean Absolute Error
  • Precision
  • Recall
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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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What is the purpose of outlier detection in data analytics?

  • To identify patterns in data
  • To remove irrelevant data points
  • To calculate summary statistics
  • To visualize data
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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 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 NOT a data type in Python?

  • Integer
  • String
  • Tuple
  • Array
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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 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 dimensionality reduction?

  • Linear regression
  • Decision tree
  • Singular Value Decomposition (SVD)
  • K-nearest neighbors
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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 feature engineering in machine learning?

  • To visualize data
  • To clean and preprocess data
  • To create new features from existing ones
  • To evaluate a model's performance
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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 is NOT a measure of data similarity?

  • Euclidean distance
  • Cosine similarity
  • Jaccard similarity
  • Pearson correlation coefficient
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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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Which of the following is NOT a type of data outlier?

  • Global outlier
  • Contextual outlier
  • Collective outlier
  • Sequential outlier
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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 sentiment analysis?

  • K-means clustering
  • Linear regression
  • Naive Bayes classifier
  • Apriori algorithm
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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 step in the data analytics process?

  • Data Exploration
  • Data Visualization
  • Data Cleaning
  • Data Generation
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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
Mark for review

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