Data Sources and Collection Methods: A Comprehensive Guide for Big Data Analytics

Question 1

Which of the following methods is NOT used to collect unstructured data?

Accepted Answer

Structured interviews

Answer

Social media scraping

Answer

Sensor data collection

Answer

Web crawling

Question 2

Which data collection method involves deploying sensors and devices to gather data from physical environments?

Accepted Answer

Sensor data collection

Answer

Web data collection

Answer

Log file analysis

Answer

Social media monitoring

Question 3

What is the primary function of Hadoop in big data processing?

Accepted Answer

Distributed framework for data storage and processing

Answer

Tool for data visualization and interactive analytics

Answer

Cloud-based service for data management and scalability

Answer

Platform for real-time streaming data analysis

Question 4

For handling large-scale data storage and processing, which cloud computing model is most suitable?

Accepted Answer

Infrastructure as a Service (IaaS)

Answer

Platform as a Service (PaaS)

Answer

Software as a Service (SaaS)

Answer

Function as a Service (FaaS)

Question 5

Identify the primary data source for Twitter analytics.

Accepted Answer

Social media feeds

Answer

Database logs

Answer

Sensor data

Answer

Web logs

Question 6

Which best practice is crucial for ensuring the reliability of collected data?

Accepted Answer

Data validation and cleaning

Answer

Real-time data processing

Answer

Data anonymization

Answer

Data compression

Question 7

Which data collection tool is specifically designed for extracting data from websites?

Accepted Answer

Selenium

Answer

Hadoop

Answer

Spark

Answer

Hive

Question 8

Which data collection technique involves gathering data about the physical world using devices or sensors?

Accepted Answer

Sensor data

Answer

Observational data

Answer

Log data

Answer

Interview data

Question 9

Which data collection method enables companies to gather environmental data, like temperature and humidity, for personalized recommendations?

Accepted Answer

Sensor Data Collection

Answer

Web Scraping

Answer

Social Media Monitoring

Answer

Log File Analysis

Question 10

Which of the following is NOT a characteristic of structured data?

Accepted Answer

Unstructured text

Answer

Organized in rows and columns

Answer

Well-defined schema

Answer

Easily searchable and analyzed

Question 11

Which method is commonly used to collect data from social media platforms?

Accepted Answer

API integration

Answer

Web scraping

Answer

Network analysis

Answer

Manual transcription

Question 12

What is the primary purpose of using sensors in data collection?

Accepted Answer

Monitoring environmental conditions

Answer

Tracking human activity

Answer

Gathering qualitative feedback

Answer

Analyzing financial transactions

Question 13

How does batch data collection differ from real-time data collection?

Accepted Answer

Batch data is collected periodically, while real-time data is collected continuously

Answer

Batch data is more reliable than real-time data

Answer

Real-time data is more expensive to collect than batch data

Answer

There is no difference between batch and real-time data collection

Question 14

Which characteristic best describes big data?

Accepted Answer

High volume, velocity, and variety

Answer

Structured and normalized

Answer

Small and easy to manage

Answer

Collected only from traditional sources

Question 15

Which technology is commonly used to gather data from sensors?

Accepted Answer

Internet of Things (IoT)

Answer

Web scraping

Answer

Data mining

Answer

Social media monitoring

Question 16

What is the process of preparing raw data for analysis in big data analytics known as?

Accepted Answer

Data preprocessing

Answer

Data ingestion

Answer

Data transformation

Answer

Data warehousing

Question 17

Which type of data is characterized by a lack of predefined structure and organization?

Accepted Answer

Unstructured data

Answer

Structured data

Answer

Semi-structured data

Answer

Metadata

Question 18

What is the primary purpose of data integration in big data analytics?

Accepted Answer

To combine data from multiple sources

Answer

To improve data accessibility

Answer

To reduce data redundancy

Answer

To enhance data security

Question 19

Which statement about the benefits of big data analytics is accurate?

Accepted Answer

Big data analytics can help businesses make better decisions

Answer

Big data analytics guarantees successful outcomes

Answer

Big data analytics is always cost-effective

Answer

Big data analytics is only useful for large organizations

Question 20

Which technique involves extracting data from web pages without using an API?

Accepted Answer

Web scraping

Answer

Data mining

Answer

Exploratory data analysis

Answer

Data visualization

Question 21

What is a key advantage of using Hadoop for big data processing?

Accepted Answer

Unmatched scalability and distributed computing

Answer

Fault tolerance and data resilience

Answer

Real-time data processing capabilities

Answer

Enhanced data security and access control

Question 22

Which best practice is essential for maintaining data quality in big data analytics?

Accepted Answer

Regularly cleaning, validating, and verifying data

Answer

Storing data in multiple locations for redundancy

Answer

Applying complex data transformation algorithms

Answer

Eliminating outliers and extreme values in the data

Question 23

What is the primary purpose of data lakes in the context of big data analytics?

Accepted Answer

Storing large volumes of raw and unstructured data

Answer

Processing and analyzing data in real-time

Answer

Creating visualizations and reports for data insights

Answer

Ensuring data security and compliance

Question 24

Which tool is commonly used for data exploration, visualization, and interactive data analysis?

Accepted Answer

Tableau

Answer

Python

Answer

Hadoop

Answer

Spark

Question 25

How does batch processing differ from stream processing in big data analytics?

Accepted Answer

Batch processing analyzes historical data, while stream processing handles real-time data

Answer

Stream processing is typically slower than batch processing

Answer

Batch processing is more complex to implement than stream processing

Answer

There is no significant difference between batch and stream processing

Question 26

How do NLP techniques help extract valuable insights from unstructured text data in big data analytics?

Accepted Answer

NLP techniques identify patterns, themes, and relationships in unstructured text data, providing valuable insights.

Answer

NLP focuses on collecting structured data from text sources, making it less useful in big data analytics.

Answer

NLP techniques are not suitable for processing large datasets, limiting their use in big data analytics.

Question 27

In the realm of big data analytics, which concept encompasses the management and regulation of data assets?

Accepted Answer

Data governance

Answer

Data warehousing

Answer

Data collection techniques

Question 28

Which of the following is **not** a common type of data source for big data analytics?

Accepted Answer

Printed books

Answer

Social media

Answer

Web logs

Answer

Sensors

Question 29

Which method of data collection involves gathering data from devices that monitor and respond to physical events?

Accepted Answer

Sensor data collection

Answer

Web scraping

Answer

Social media monitoring

Answer

Web log analysis

Question 30

Which of the following is a best practice for data collection in big data analytics?

Accepted Answer

Use a variety of data sources

Answer

Manually clean all data

Answer

Collect as much data as possible

Answer

Ignore data quality

Question 31

What is the primary purpose of web log analysis in big data analytics?

Accepted Answer

Analyze user behavior on websites

Answer

Identify potential customers

Answer

Improve website performance

Answer

Predict future trends

Question 32

What is the main difference between structured and unstructured data?

Accepted Answer

Structured data is organized in a defined format, while unstructured data is not.

Answer

Structured data is easier to analyze than unstructured data.

Answer

Structured data is larger in size than unstructured data.

Question 33

Which of the following is a common tool used for data visualization in big data analytics?

Accepted Answer

Tableau

Answer

Microsoft Word

Answer

Google Sheets

Answer

Excel

Question 34

What is a significant challenge when dealing with large volumes of data from various sources?

Accepted Answer

Data heterogeneity, or the variety of formats and structures in which data exists.

Answer

Small data size (This is not a challenge, but rather the opposite of what big data refers to).

Answer

Structured data format (Structured data is easier to manage, heterogeneity refers to the presence of unstructured data).

Answer

Lack of computational power (While a potential issue, it's not as fundamental a challenge as data heterogeneity).

Question 35

Which data source is most valuable for understanding real-time user opinions and actions?

Accepted Answer

Social media platforms, providing immediate insights into user sentiments and behavior.

Answer

Sensors, which collect physical data and are not directly linked to user sentiment.

Answer

Enterprise databases, which primarily hold structured data related to business operations.

Answer

Web logs, capturing user interactions with a specific website but not necessarily real-time sentiment.

Question 36

What is a key benefit of using web logs for data collection?

Accepted Answer

Web logs provide a detailed record of user interactions with a website, including pages visited and actions taken.

Answer

Web logs are generally easy to collect, but analysis can be complex due to their structure.

Answer

Web logs offer real-time data, but not consistently across all platforms.

Answer

Web logs often contain sensitive personal information, which requires careful handling.

Question 37

Which of the following introduces a potential bias in data collected through sensors?

Accepted Answer

The placement and calibration of sensors can influence the data collected, leading to inaccurate or skewed results.

Answer

Data loss can occur, but this is a general challenge, not specifically related to sensor placement.

Answer

Data privacy concerns are important, but not directly a bias introduced by sensor placement.

Answer

Data interpretation can be subjective, but it's a broader challenge, not directly tied to sensor placement.

Question 38

When designing a data collection method, what ethical consideration is paramount?

Accepted Answer

Informed consent from participants ensures they are aware of how their data will be used and have the choice to participate.

Answer

While advanced algorithms are important, they are not a primary ethical consideration in data collection.

Answer

Storing data in the cloud is a practical decision, not a core ethical issue in data collection design.

Answer

Maximizing data volume is not an ethical priority, but rather a consideration for data analysis effectiveness.

Question 39

What is a crucial practice for effectively managing data from multiple sources?

Accepted Answer

Data standardization and integration ensure consistency and compatibility across different datasets, allowing for comprehensive analysis.

Answer

Restricting data access is important for security but not the primary strategy for managing data from multiple sources.

Answer

Deleting duplicate data is essential for data cleaning but doesn't address the core challenge of integration.

Answer

Storing data in separate databases is inefficient and hinders cross-dataset analysis.

Question 40

Which data collection method involves directly observing and documenting behaviors or events?

Accepted Answer

The observational method relies on direct observation and recording of actions or occurrences in their natural setting.

Answer

The survey method uses questionnaires or interviews to gather information from respondents.

Answer

The experimental method involves controlled manipulation of variables, not direct observation.

Answer

The interview method involves structured conversations with individuals to gather data.

Question 41

Which technique is commonly used to reduce the complexity of high-dimensional data?

Accepted Answer

Principal Component Analysis (PCA) aims to reduce the number of variables while preserving most of the data's variance.

Answer

Linear Regression establishes relationships between variables, not reducing dimensionality.

Answer

Support Vector Machines are used for classification and regression, not dimensionality reduction.

Answer

K-Means Clustering groups data points based on similarity, not dimensionality reduction.

Question 42

What is a standard approach for evaluating the quality of collected data?

Accepted Answer

Data profiling and validation involve analyzing data characteristics and identifying inconsistencies or errors.

Answer

Data cleaning and transformation are part of data preparation, not the primary method for quality evaluation.

Answer

Modeling and analysis are used after data quality assessment, not for evaluation itself.

Answer

Data visualization can help identify patterns, but it's not a comprehensive evaluation technique.

Question 43

Which of the following is an example of a structured data source?

Accepted Answer

A relational database, organized with defined columns and rows, representing structured information.

Answer

A social media post is unstructured, containing text, images, and links in a non-standardized format.

Answer

Text documents are generally unstructured, requiring processing to extract meaningful information.

Answer

Sensor readings often represent unstructured data, requiring interpretation and analysis.