UNIT- I
1. _______________ is high volume, high velocity and high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.
[A] Data mining
[B] Big data
[C] Data warehouse
[D] Business Intelligence
2. The important 3V’s in big data are_______________________.
[A] volume, vulnerability,variety
[B] volume, velocity and variety
[C] variety,vulnerability,volume
[D] velocity,vulnerability,variety
3. ________ refers to the evolving types and growing sources of data, including semi-structured and unstructured data.
[A] Velocity
[B] Variety
[C] Volume
[D] Value
4. _________ in the context of big data refers to the speed of data acquisition and processing.
[A] Variety
[B] Volume
[C] Velocity
[D] Value
5. Which of these is NOT one of the 4 V’s?
[A] Volume
[B] Velocity
[C] Variety
[D] Voice
6. Big data is an evolving term that describes any voluminous amount of data that has the potential to be mined for information.
[A] Structured
[B] Semi-structured
[C] Unstructured
[D] All the above
7. Variety refers to ______________.
[A] structured data
[B] unstructured data
[C] semi-structured data
[D] all the above
8. Which of the following term is appropriate to data that involve volume, variety, velocity?
[A] Large Data
[B] Big Data
[C] Dark Data
[D] None of the above
9. Which of the following is not a major data analysis approaches?
[A] Data Mining
[B] Predictive Intelligence
[C] Business Intelligence
[D] Text Analytics
10. _______________ concerns all data which can be stored in database SQL in table with rows and columns
[A] Semi-structured data
[B] Unstructured data
[C] Structured data
[D] None of the above
11. _______________ is information that doesn’t reside in a relational database but that does have some organizational properties that make it easier to analyze.
[A] Structured data
[B] Unstructured data
[C] Semi-structured data
[D] None of the above
12. _________ refers to information that either does not have a predefined data model or is not organized in a predefined manner.
[A] Structured data
[B] Semi-structured data
[C] Unstructured data
[D] None of the above
13. ___________Is the discovery and communication of meaningful patterns in data.
[A] Structured data
[B] Semi-structured data
[C] Analytics
[D] None of the above
14. Analytics often favors ____________ to communicate insight.
[A] Data Cleansing
[B] Data Integration
[C] Data Replication
[D] Data visualization
15. Point out the wrong statement.
[A] The big volume indeed represents Big Data
[B] The data growth and social media explosion have changed how we look at the data
[C] Big Data is just about lots of data
[D] All of the mentioned
16. Data Analysis is a process of?
[A] inspecting data
[B] cleaning data
[C] transforming data
[D] All of the above
17. Which of these is NOT a type of Analytics?
[A] Predictive Analytics
[B] Result Analytics
[C] Prescriptive Analytics
[D] Descriptive Analytics
18. ____________ uses data to determine the probable future outcome of an event or a likelihood of a situation occurring.
[A] Descriptive analytics
[B] Prescriptive analytics
[C] Predictive Analytics
[D] None of the above
19. ___________ looks at past performance and understands that performance by mining historical data to look for the reasons behind past success or failure.
[A] Descriptive analytics
[B] Prescriptive analytics
[C] Predictive Analytics
[D] None of the above
20. ___________ goes behind predicting future outcomes by also suggesting actions to benefit from the predictions and showing the decision maker the implications of each decision option.
[A] Descriptive analytics
[B] Prescriptive analytics
[C] Predictive Analytics
[D] None of the above
21. ______________ refers to computer based techniques used in spotting, digging-out and analyzing business data.
[A] Data mining
[B] Big data
[C] Data warehouse
[D] Business Intelligence
22. __________________ is defined as the capability that enables the mobile workforce to gain business insights through information analysis using applications optimized for mobile devices.
[A] Data mining
[B] Big data
[C] Data warehouse
[D] Mobile Business Intelligence
23. __________ is the potential for a loss related to our data.
[A] Cost risk
[B] Schedule risk
[C] Data risk
[D] Performance risk
24. Which of the following is type of data risk?
[A] Data Security
[B] Data Privacy
[C] Bad data
[D] All of the above
25. Which of following is/are the Big Data Technologies
[A] Operational Big Data Technologies
[B] Analytical Big Data Technologies
[C] Both of the above
[D] None of the above
26. ___________ is a technique in which a network of remote servers is hosted on the Internet.
[A] Data Analytics
[B] Cloud Computing
[C] Big Data
[D] Data warehouse
27. The big data are collected from a wide variety of sources.
[A] True
[B] False
[C] Cannot say
[D] Undefined
28. Crowd sourcing involves obtaining work, information, or opinions from a large group of people who submit their data via ________________.
[A] Internet
[B] social media
[C] smartphone apps
[D] all of the above
29. Cloud Computing is ________ of data analytics
[A] dependent
[B] independent
[C] proportional
[D] None of the above
30. Big data is used to uncover___________________________.
[A] hidden patterns&unknown correlations
[B] market trends & customer preferences
[C] other useful information
[D] all the above