Big Data Techniques

What is the purpose of Natural Language Processing (NLP) in big data?

• To convert text into numbers

• To process images and videos

• To compress large datasets

• To analyze and interpret human language

What is the main goal of Data Compression in big data?

• To increase the size of the data

• To make data more difficult to process

• To encrypt the data

• To reduce the size of the data

Which technique is used to represent words of a document as real-valued vectors in a lower dimensional space?

• Named Entity Recognition

• Tokenization

• Word Embeddings

• Stemming

What is the purpose of Query Optimization in big data?

• To remove duplicates from the data

• To increase the size of the dataset

• To optimize query execution plans

• To add noise to the data

Which visualization technique is commonly used to display spatial or geographic data?

• Word Clouds

• Network Visualizations

• Time Series Visualization

• Geospatial Visualization

What is the main function of a Graph Database in big data?

• To store and process graph data efficiently

• To compress large datasets

• To classify audio data

• To perform sentiment analysis

Which technique is used to identify and classify named entities in a text?

• Stop Words Removal

• Stemming

• Tokenization

• Named Entity Recognition

What is the purpose of Distributed Computing in big data?

• To increase data storage costs

• To divide the workload among multiple machines

• To process data sequentially

• To slow down data processing

Which technique is used to visualize data by representing values using color gradients?

• Time Series Visualization

• Interactive Dashboards

• Heatmaps and Choropleth Maps

• Network Visualizations

What is the main goal of Audio Analytics in big data?

• To analyze and interpret human language

• To convert text into numbers

• To process images and videos

• To analyze and extract insights from audio data