1. Which term describes the growth rate of data in the IoT?
2. What are two examples of unstructured data? (Choose two.)
- video content
- user account data
- SQL queries
- blog entry
- customer account spreadsheet
3. What is a characteristic of open data?
- data that lacks intellectual property restrictions
- data that lacks predefined organization
- data that does not need to be stored
- data that does not generate new knowledge
4. What is Hadoop?
- a method of preventing loops when analyzing Big Data
- a groundbreaking method of moving large amounts of data through micro loops
- a framework that allows distributed processing of data across clusters of computers
- a method of sharing data across multiple companies using computing resources housed within each respective company
5. Which statement describes the paradigm that is promoted in the Cisco Fog Computing Model?
- All data analysis and decision making should take place near the data source.
- Some data analysis should take place at the edge of infrastructure rather than at a central location.
- Data generated by edge devices should be sent to the nearest regional data analysis center for data aggregation.
- Data collected at the edge of the infrastructure should be stored in a central data center for security and backup operations.
6. In the data analysis process, which sequence depicts the work flow suitable for data at rest?
- act > analyze > store > notify
- analyze > notify > act > store
- notify > store > act > analyze
- store > analyze > notify > act
7. What has contributed to the exponential growth in data generation?
- the increasing number of mobile devices
- the increasing number of standalone devices
- the increasing number of isolated software applications
- the increasing number of physical installations for protecting environment facilities
8. What is a characteristic of structured data?
- Structured data is subject to intellectual property restrictions.
- It has a predefined organization.
- It is raw data.
- It generates new knowledge.
9. What is true of Big Data in comparison to traditional data?
- Traditional data is represented through binary strings, whereas Big Data is represented through hexadecimal strings.
- Both types of data require the same hardware for processing and storage.
- Big Data requires a different approach to analysis, computing, and storage mechanisms.
- Big Data means that the data sets are being sent through the network in larger packets than the sets that contain legacy data.
10. How do sensors relate to Big Data?
- They are types of multimedia applications that are sources for Big Data.
- They are devices that collectively generate large amounts of data.
- They are devices that can only be used with static data.
- They produce structured data.
11. Which two statements describe characteristics of data in motion? (Choose two.)
- Its value changes over time.
- It is stored at a central data center.
- It requires real-time processing close to the source.
- It is the data in RAM during a data analysis process.
- It is stored in removable devices for easy transportation.
12. Refer to the exhibit. To remain competitive, a company has progressed from on-premise technology to the cloud environment. What technology environment would a manager need to consider to accommodate long-term storage and immediate analysis of data in motion.
- an analytic model
- a hybrid model
- the fog model
- a cloud model will accompish both requirements
- on-premise clouds
13. When is data considered to be information?
- when it is stored
- when it is recorded
- when it is processed and analyzed
- when it is generated
14. Which characteristic of big data describes different types of datasets that include both structured and unstructured data?
15. What is an example of data in motion?
- recording road traffic volumes and patterns for future highway planning
- medical information being transmitted from an ambulance to emergency department staff as a critically ill patient is being transported to the hospital
- hourly weather information being collected in preparation for the next day weather forecast for a specific location
- collecting sales and transaction records in preparation for a monthly sales report from sales consultants as they travel between customers
16. Which type of information is captured and stored as events happen?
17. Which method does openPDS use to protect user privacy of GPS records on a mobile device?
- requiring authentication to be completed first
- encrypting the communication from data to the app
- providing answers to specific queries instead of raw data
- removing identifiable personal information before sending data to the app
18. What are three examples of a NoSQL database? (Choose three.)
- Apache Cassandra
19. What is a purpose of applying data anonymization process to a data sets?
- to compress the data sets
- to reduce the size of the data sets
- to remove identifiable personal information
- to adjust the value length of certain data fields
20. A multi-campus school wants to perform analytics on classes held during the past 5 years. The school wants to know which classes filled up the quickest across all campuses and which classes filled up the quickest at each campus. The school also wants to know if there is a relationship between the number of passing students and the speed in which a class taught by a particular teacher fills. If the school could only choose one type of database to store the data on one server, which type would be best suited for this task?
21. What are two key components in creating data analysis tools from scratch? (Choose two.)
- data sets
- program length
22. Which statement describes SQLite?
- It is an example of flat file database.
- It is an embedded SQL database engine.
- It is a free version of RDBMS suitable for enterprises.
- It is a fully functional RDBMS for distributed data processing.