MCQs

Disclaimer:

Educational Use Only:

The website links provided are to be used strictly for educational and knowledge-gaining purposes only.

No Misuse:

Do not misuse the links or the information contained therein for any commercial, illegal, or unethical activities.

Respect for Websites and Businesses:

Respect the intellectual property and business interests of the websites and their owners. Do not attempt to alter, copy, or redistribute content without proper authorization.

Acknowledge Value of Knowledge:

Recognize and value the knowledge and resources shared by these websites. Use the information responsibly and ethically.

No Endorsement:

The provision of these links does not imply endorsement of the linked sites, their content, or their products and services. Users are responsible for evaluating the suitability and accuracy of the information.

User Responsibility:

By accessing these links, you agree to use the information at your own risk and to comply with all applicable laws and website terms of use.

Overall MCQs for Reference

Which term best defines Big Data?
a. Small datasets
b. Massive and complex data sets
c. Numerical data only
d. Database records
Answer: b. Massive and complex data setssanfoundry+1
What is NOT a characteristic of Big Data?
a. Volume
b. Velocity
c. Variety
d. Vacuum
Answer: d. Vacuumplacementpreparation+1
Which ‘V’ of Big Data relates to data accuracy and trust?
a. Volume
b. Velocity
c. Veracity
d. Value
Answer: c. Veracityscribd+1
What does the ‘Volume’ aspect of Big Data refer to?
a. Speed of data generation
b. Large quantities of data
c. Variety in data sources
d. Security of data
Answer: b. Large quantities of dataeasyexamnotes+1
Which industry does NOT commonly use Big Data analytics?
a. Healthcare
b. Agriculture
c. Marketing
d. None of the above
Answer: d. None of the abovescribd+1
What process refers to collecting raw data from multiple sources in Big Data systems?
a. Data analysis
b. Data ingestion
c. Data categorization
d. Data visualization
Answer: b. Data ingestionhirist
Which component is NOT part of a Big Data pipeline?
a. Data ingestion
b. Processing layer
c. Storage layer
d. Manual scripting only
Answer: d. Manual scripting onlyhirist
Which of the following is a benefit of Big Data analytics in media and entertainment?
a. Ad targeting
b. Scheduling optimization
c. Audience prediction
d. All of the above
Answer: d. All of the abovescribd
The word ‘Big Data’ was coined in which year?
a. 2000
b. 1970
c. 1998
d. 2005
Answer: c. 1998scribd
Which database is preferred for unstructured Big Data?
a. Relational
b. NoSQL
c. Flat file
d. Hierarchical
Answer: b. NoSQLhirist
Which process ensures data reliability in Big Data?
a. Data validation
b. Data redundancy
c. Manual entry
d. None
Answer: a. Data validationhirist
Which is NOT an analytical capability provided by Big Data?
a. Visualization
b. Storage
c. Real-time processing
d. None of the above
Answer: d. None of the abovesanfoundry
The five V’s of Big Data include Volume, Variety, Velocity, Value, and?
a. Verification
b. Veracity
c. Validity
d. Vacuum
Answer: b. Veracityscribd+1
Which data type is considered unstructured?
a. Relational database data
b. Images
c. Spreadsheets
d. CSV files
Answer: b. Imagessanfoundry
Big Data applications benefit weather forecasting by:
a. Optimizing staff schedules
b. Predicting weather patterns
c. Increasing marketing outreach
d. Improving entertainment programs
Answer: b. Predicting weather patternsscribd+1
What is the primary goal of Big Data analytics?
a. Data storage
b. Insight extraction
c. Data deletion
d. Manual computation
Answer: b. Insight extractioneasyexamnotes+1
Batch processing of Big Data typically involves:
a. Real-time data streaming
b. Scheduled data loads
c. Only manual uploads
d. No use of computer systems
Answer: b. Scheduled data loadshirist
NoSQL databases scale:
a. Vertically
b. Horizontally
c. Only locally
d. Are not scalable
Answer: b. Horizontallyhirist
Which aspect is NOT a challenge of Big Data?
a. Storage
b. Processing speed
c. Data security
d. Data misplacement
Answer: d. Data misplacementhirist
Big Data analytics is mostly performed using:
a. Manual logs
b. Statistical models and ML algorithms
c. Typewriters
d. None of the above
Answer: b. Statistical models and ML algorithmshirist
Which tool is widely used for data visualization?
a. SQL
b. Tableau
c. Python interpreter
d. Perl
Answer: b. Tableausanfoundry
Which library in Python supports Big Data analytics?
a. Pandas
b. NumPy
c. Spark
d. All of the above
Answer: d. All of the abovesanfoundry+1
Which method helps preserve data quality in Big Data environments?
a. Schema enforcement
b. Data duplication
c. Omission of data
d. Ignoring entries
Answer: a. Schema enforcementhirist
What does semi-structured data mean?
a. Organized in tables only
b. No organization
c. Partially structured format
d. Only images
Answer: c. Partially structured formatcloud.google+1
The process of uncovering hidden patterns in Big Data is called:
a. Data mining
b. Audio sensing
c. Web surfing
d. Manual sorting
Answer: a. Data miningtestbook+1
Machine learning techniques in Big Data are mainly used for:
a. Predictions
b. Email sending
c. File compression
d. Server maintenance
Answer: a. Predictionssanfoundry+1
Which of these is an open-source Big Data analytical tool?
a. Hadoop
b. MySQL
c. Oracle
d. FTP server
Answer: a. Hadoopsanfoundry+1
Real-time data processing in Big Data uses:
a. Kafka
b. Excel
c. PowerPoint
d. Manual scripts
Answer: a. Kafkahirist
The aspect of Big Data relating to the usefulness of data is:
a. Value
b. Variety
c. Veracity
d. Volume
Answer: a. Valuescribd+1
The component of storage in Big Data pipeline is often handled by:
a. HDFS
b. FTP
c. Excel
d. CD-ROM
Answer: a. HDFShirist
Which field does NOT commonly use Big Data?
a. Finance
b. Logistics
c. Art history exclusively
d. Smart cities
Answer: c. Art history exclusivelyscribd+1
Distributed computing in Big Data means:
a. Processing data on a single server
b. Data split across multiple servers
c. Keeping all data on local machines
d. Manual data transfer
Answer: b. Data split across multiple servershirist
The examination of very large datasets for useful information is called:
a. Big Data analytics
b. Audio analysis
c. Short data examination
d. Browsing
Answer: a. Big Data analyticsscribd+1
Which of the following is a Big Data source?
a. Social media
b. Weather sensors
c. Business transactions
d. All of the above
Answer: d. All of the aboveeasyexamnotes+1
What is a benefit of using Big Data in healthcare?
a. Improved treatment
b. Slower diagnosis
c. Higher costs always
d. None of these
Answer: a. Improved treatmenteasyexamnotes+1
Which is a step NOT followed in Big Data analytic process?
a. Data preprocessing
b. Data cleaning
c. Data dissemination
d. Ignoring data
Answer: d. Ignoring datascribd
Which of these is NOT a form of Big Data?
a. Structured
b. Unstructured
c. Semi-Structured
d. Processed
Answer: d. Processedscribd
In Data Science, Big Data refers to datasets:
a. Large and complex
b. Only numerical
c. Under 10MB size
d. Only text based
Answer: a. Large and complexsanfoundry
Big Data analytics in e-commerce helps:
a. Personalizing recommendations
b. Reducing quality
c. Decelerating transactions
d. Avoiding data use
Answer: a. Personalizing recommendationshirist
The velocity of Big Data means:
a. Slow data flow
b. Speed of data generation
c. Data storage pace
d. Speed of manual entry
Answer: b. Speed of data generationscribd+1
The Value ‘V’ refers to:
a. Monetary value only
b. Usability and insights gained from data
c. Number of entries
d. Storage location
Answer: b. Usability and insights gained from dataeasyexamnotes+1
What aspect focuses on the types and sources of data in Big Data?
a. Volume
b. Variety
c. Velocity
d. Validation
Answer: b. Varietyscribd+1
Which is a main challenge in processing Big Data?
a. Memory requirements
b. Security
c. Integration from sources
d. All of the above
Answer: d. All of the abovehirist
Feature engineering in Big Data is important for:
a. Data preparation
b. Ignoring data types
c. Shortening datasets
d. Only visualizing data
Answer: a. Data preparationhirist
Which ‘V’ focuses on trustworthiness in Big Data?
a. Veracity
b. Velocity
c. Variety
d. Volume
Answer: a. Veracityeasyexamnotes+1
Predictive analytics does what in Big Data?
a. Summarizes past trends
b. Forecasts future outcomes
c. Removes past data
d. Ignores present data
Answer: b. Forecasts future outcomeshirist
Prescriptive analytics in Big Data provides:
a. Data storage locations
b. Recommendations for future actions
c. Only historical data
d. Visualization only
Answer: b. Recommendations for future actionshirist
Which is NOT a Big Data tool?
a. Apache Spark
b. Hadoop
c. Microsoft Excel only
d. NoSQL databases
Answer: c. Microsoft Excel onlyscribd+1
Which is a source of digital Big Data?
a. Business transactions
b. Social media
c. Sensor data
d. All of the above
Answer: d. All of the aboveeasyexamnotes+1
In Big Data, removing duplicates is important for:
a. Preventing storage issues
b. Maintaining high data integrity
c. Reducing dataset size only
d. Ignoring old data
Answer: b. Maintaining high data integrityhirist

Blog

Systemethic Technologies

Leave a Reply Cancel reply

Useful links

Other Terms & Policies

Contact Info