Top 25 Artificial Intelligence Questions & Answers

Top 25 Artificial Intelligence Questions & Answers

Artificial Intelligence (AI) has emerged as a transformative force in the modern world, influencing diverse fields such as healthcare, finance, transportation, and entertainment. As AI continues to advance, it raises numerous questions about its impact, capabilities, and ethical considerations. In this compilation of the top 25 AI questions and answers, we delve into key inquiries that shed light on this dynamic and evolving technology. Whether you’re a curious enthusiast, a student exploring AI’s potential, or a professional seeking insights into its practical applications, this resource aims to provide informative and concise answers to some of the most pressing questions surrounding AI. From its basic concepts to complex ethical dilemmas, we aim to unravel the mysteries and potentials of Artificial Intelligence through this curated list of inquiries and responses.

So, let’s get started with Top 25 Artificial Intelligence Questions & Answers

Q1. Traditional data warehouses have not been able to keep up with:

Select one:
a. the evolution of the SQL language.
b. the variety and complexity of data.
c. expert systems that run on them.
d. OLAP.

Q2. Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources?

Select one:
a. in-memory analytics
b. in-database analytics
c. grid computing
d. appliances

Q3. Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. What is this feature of Big Data
called?

Select one:
a. volatility
b. periodicity
c. inconsistency
d. variability

Q4. The term “Big Data” is relative as it depends on the size of the using organization.

Select one:
a. True
b. False

Q5. All of the following statements about MapReduce are true EXCEPT:

Select one:
a. MapReduce is a general-purpose execution engine.
b. MapReduce handles the complexities of network communication.
c. MapReduce handles parallel programming.
d. MapReduce runs without fault tolerance.

Q6. A newly popular unit of data in the Big Data era is the petabyte (PB), which is:

Select one:
a. 109 bytes.
b. 1012 bytes.
c. 1015 bytes.
d. 1018 bytes.

Q7. What is the Hadoop Distributed File System (HDFS) designed to handle?

Select one:
a. unstructured and semistructured relational data
b. unstructured and semistructured non-relational data
c. structured and semistructured relational data
d. structured and semistructured non-relational data

Q8. Big Data technologies typically employ nonrelational data storage capabilities to process unstructured and semistructured data.

Select one:
a. True
b. False

Q9. What kind of location-based analytics is real-time marketing promotion?

Select one:
a. organization-oriented geospatial static approach
b. organization-oriented location-based dynamic approach
c. consumer-oriented geospatial static approach
d. consumer-oriented location-based dynamic approach

Q10. Cloud computing originates from a reference to the Internet as a “cloud” and is a combination of several information technology components as services.

Select one:
a. True
b. False

Q11. Many analytics tools are too complex for the average user, and this is one justification for Big Data.

Select one:
a. True
b. False

Q12. How does Hadoop work?

Select one:
a. It integrates Big Data into a whole so large data elements can be processed as a whole on one computer.
b. It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers.
c. It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer.
d. It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

Q13. Which of the following is true of data-as-a-Service (DaaS) platforms?

Select one:
a. Knowing where the data resides is critical to the functioning of the platform.
b. There are standardized processes for accessing data wherever it is located.
c. Business processes can access local data only.
d. Data quality happens on each individual platform.

Q14. Which of the following sources is likely to produce Big Data the fastest?

Select one:
a. order entry clerks
b. cashiers
c. RFID tags
d. online customers

Q15. In a Hadoop “stack,” what is a slave node?

Select one:
a. a node where bits of programs are stored
b. a node where metadata is stored and used to organize data processing
c. a node where data is stored and processed
d. a node responsible for holding all the source programs

Q16. Which of the following is NOT a large cloud providers (infrastructure providers)?

Select one:
a. Amazon Web Services
b. IBM Hadoop
c. Microsoft Azure
d. Google Cloud

Q17. Web-based e-mail such as Google’s Gmail are not examples of cloud computing.

Select one:
a. True
b. False

Q18. The analytics layer of the Big Data stack is experiencing what type of development currently?

Select one:
a. significant development
b. limited development
c. no development/stagnant
d. no development/reject as being non-important

Q19. Which of the following services can be described as infrastructure resources like networks, storage, servers, and other computing
resources are provided to client companies?

Select one:
a. SaaS
b. PaaS
c. IaaS
d. ETL

Q20. Using data to understand customers/clients and business operations to sustain and foster growth and profitability is:

Select one:
a. easier with the advent of BI and Big Data.
b. essentially the same now as it has always been.
c. an increasingly challenging task for today’s enterprises.
d. now completely automated with no human intervention required.

Q21. In a Hadoop “stack,” what node periodically replicates and stores data from the Name Node should it fail?

Select one:
a. backup node
b. secondary node
c. substitute node
d. slave node

Q22. Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

Select one:
a. ANSI 2003 SQL compliance is required
b. online archives alternative to tape
c. unrestricted, ungoverned sandbox explorations
d. analysis of provisional data

Q23. Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near real time with highly accurate insights. What is this process called?

Select one:
a. in-memory analytics
b. in-database analytics
c. grid computing
d. appliances

Q24. GPS Navigation is an example of which kind of location-based analytics?

Select one:
a. organization-oriented geospatial static approach
b. organization-oriented location-based dynamic approach
c. consumer-oriented geospatial static approach
d. consumer-oriented location-based dynamic approach

Q25. In the health sciences, the largest potential source of Big Data comes from:

Select one:
a. accounting systems.
b. human resources.
c. patient monitoring.
d. research administration.

Answers

  1. b
  2. c
  3. d
  4. a
  5. d
  6. c
  7. b
  8. a
  9. b
  10. a
  11. a
  12. d
  13. b
  14. c
  15. c
  16. b
  17. 2
  18. a
  19. c
  20. c
  21. b
  22. c
  23. a
  24. c
  25. c