1. Which process in data mining involves identifying and removing inaccuracies or inconsistencies in data?
A) Data transformation
B) Data integration
C) Data cleaning
D) Data mining
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2. Which system does Hadoop use to store and manage data across multiple servers?
A) Relational database
B) Distributed file system
C) Data mart
D) SQL database
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3. Which data mining technique is commonly used to group similar data points?
A) Clustering
B) Classification
C) Regression
D) Association
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4. In the context of Big Data, what do the '4 V's represent?
A) Volume, Value, Variety, and Verification
B) Velocity, Veracity, Value, and Validation
C) Variety, Value, Visualization, and Velocity
D) Volume, Variety, Velocity, and Veracity
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5. Which technique is particularly useful in identifying fraud by detecting unusual data patterns?
A) Anomaly detection
B) Association rule mining
C) Data reduction
D) Data aggregation
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6. Which component in Hadoop is used for distributing data processing tasks across multiple nodes?
A) HDFS
B) Hive
C) MapReduce
D) NoSQL
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7. What is the main purpose of data visualization in data analysis?
A) To generate data
B) To store data
C) To validate data
D) To present data in an understandable format
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8. Which type of machine learning technique relies on labeled data to make predictions?
A) Unsupervised learning
B) Supervised learning
C) Reinforcement learning
D) Self-supervised learning
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9. What does ETL stand for in the context of data warehousing?
A) Extract, Transform, Load
B) Enhance, Transform, Load
C) Extract, Transfer, Load
D) Enhance, Transfer, Load
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10. Which Big Data tool is known for its in-memory processing and speed for analytics tasks?
A) HDFS
B) Hive
C) Spark
D) Pig
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11. Which term refers to the practice of storing large amounts of structured data for easy access and analysis?
A) Data cleaning
B) Data warehousing
C) Data integration
D) Data aggregation
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12. Which technique in data mining reduces the number of features or attributes in a dataset?
A) Data cleaning
B) Data transformation
C) Dimensionality reduction
D) Data warehousing
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13. Which algorithm is commonly used for association rule mining?
A) Apriori
B) K-means
C) SVM
D) Naive Bayes
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14. In data mining, which method is used to classify data into predefined classes or groups?
A) Clustering
B) Regression
C) Association rule mining
D) Classification
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15. Which tool provides SQL-like querying capabilities on top of Hadoop?
A) Hive
B) Pig
C) MapReduce
D) Sqoop
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16. Which type of learning is commonly used in clustering tasks in data mining?
A) Supervised learning
B) Unsupervised learning
C) Reinforcement learning
D) Semi-supervised learning
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17. Which technology is used to analyze multidimensional data in data mining?
A) ETL
B) SQL
C) OLAP
D) NoSQL
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18. Which term refers to the accuracy and consistency of data over its entire lifecycle?
A) Data integrity
B) Data mining
C) Data transformation
D) Data scaling
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19. Which characteristic of Big Data systems refers to their ability to handle increasing data volume effectively?
A) Veracity
B) Variability
C) Velocity
D) Scalability
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20. Which database system is designed for Big Data and is column-oriented?
A) HBase
B) MongoDB
C) MySQL
D) Cassandra
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