Worksheets25 MCQs on Big Data Mining & Analysis
Total questions: 25
Worksheet time: 13mins
Which of the following is NOT one of the 5 V’s of Big Data?
Volume
Velocity
Variety
Validity
The main purpose of data mining is to:
Store large datasets
Visualize data only
Discover patterns and insights
Clean the dataset
Hadoop primarily uses which programming model?
SparkSQL
MapReduce
NoSQL
Machine Learning
HDFS stands for:
High Data File System
Hadoop Distributed File System
Hadoop Data Federation Service
High Distributed File Structure
The NameNode in HDFS is responsible for:
Storing data blocks
Storing metadata
Running Map tasks
Compressing data
Which of the following is a NoSQL database?
MySQL
PostgreSQL
Cassandra
Oracle
Which type of NoSQL database stores data in key-value pairs?
Document store
Graph database
Column store
Key-value store
Which of the following is an example of supervised learning?
Clustering
Regression
Association rule mining
Dimensionality reduction
K-means is an example of a:
Classification algorithm
Clustering algorithm
Regression algorithm
Text mining algorithm
PCA is used for:
Classification
Clustering
Dimensionality reduction
Prediction
Which of the following is an in-memory big data processing framework?
Hadoop MapReduce
Spark
HDFS
Hive
Which language is commonly used to query data in Hive?
HQL
SQL++
Pig Latin
MapScript
Which is a common technique used in association rule mining?
Apriori
K-Means
Logistic Regression
SVM
In data mining, “support” refers to:
The probability of an itemset occurring
The speed of data transfer
The accuracy of a model
The size of a dataset
Which of the following best describes “Veracity” in Big Data?
The speed of data generation
The trustworthiness of data
The type of data formats
The size of data
Which visualization tool is commonly used in Big Data analysis?
Tableau
BitLocker
Docker
Jenkins
A major challenge in Big Data processing is:
Storing small amounts of data
Handling structured data only
Managing high data velocity
Avoiding data duplication
The Map step in MapReduce:
Aggregates data
Sorts data
Splits and processes data
Stores results
The Reduce step in MapReduce:
Filters input data
Converts input into key-value pairs
Aggregates mapped data
Deletes unwanted data
Which of the following is a text mining technique?
Tokenization
Clustering
Regression
PCA
Big Data analytics that predicts future outcomes is called:
Descriptive analytics
Predictive analytics
Diagnostic analytics
Basic analytics
Spark Streaming is mainly used for:
Batch processing
Real-time processing
Data storage
Data visualization
Which type of data is typically unstructured?
SQL tables
Images and videos
CSV files
Sensor logs
Which metric is commonly used to evaluate classification models?
Cohesion
Support
Accuracy
Lift
The main advantage of NoSQL databases is:
They strictly enforce schemas
They scale horizontally
They support only structured data
They are slower than SQL
