Big Data

What is Big Data characterized by?

• Volume, Velocity, and Velocity
• Quantity, Quickness, and Variation
• Speed, Size, and Shape
• Volume, Velocity, and Variety

Which of the following is a primary challenge in processing Big Data?

• Using small-scale data processing techniques
• Efficiently storing and analyzing massive volumes of data
• Storing data in a single location
• Analyzing data in real-time only

Which technology is commonly used for storing and processing Big Data?

• Spark
• TensorFlow
• MongoDB
• Hadoop

What is the primary goal of data preprocessing in Big Data analysis?

• Apply complex algorithms directly to raw data
• Clean, transform, and prepare raw data for further analysis
• Ignore missing values in the dataset
• Create duplicate data for analysis

Which of the following is NOT a component of the Hadoop ecosystem?

• Pig
• Spark
• Hive
• Zookeeper

What is the role of MapReduce in processing Big Data?

• MapReduce processes data in a single thread for Big Data processing.
• MapReduce does not play a role in processing Big Data.
• MapReduce divides data into smaller chunks, processes them in parallel, and combines the results for efficient Big Data processing.
• MapReduce combines data sequentially for Big Data processing.

Which programming language is commonly used for implementing data analysis tasks in Big Data environments?

• Java
• C++
• Ruby
• Python

Which of the following is a technique used to uncover hidden patterns, unknown correlations, and other useful information from Big Data?

• Data Mining
• Pattern Uncovering
• Information Digging
• Data Extraction

Which approach is used to analyze streaming data in real-time in Big Data systems?

• Stream Processing
• Sequential Processing
• Static Analysis
• Batch Processing

Which of the following is NOT a characteristic of Big Data?

• Being easily searchable
• Having high volume
• Being easily manageable
• Being easily interpretable