Best 25 Artificial Intelligence Questions & Answers

The advent of artificial intelligence (AI) has revolutionized several industries, from healthcare to finance. The fast-paced evolution of AI makes a thorough understanding of its foundational concepts very necessary. To help you get a handle on this fast-developing topic, we have compiled a list of the top 25 questions and answers about artificial intelligence. From the ground up (machine learning and neural networks) to the sky-high (AI ethics), there is a wide spectrum of artificial intelligence issues. Whether you’re just getting your feet wet in the area or are a seasoned practitioner, this collection will be a valuable resource for your artificial intelligence education.

Now, let’s move on to the Best 25 Artificial Intelligence Questions & Answers

Q1. Deep learning would be classified as what stage in the evolution of decision support, business intelligence, analytics & Al?

a. Executive IT
b. Business Intelligence
c. Analytics
d. Automation

Q2. What type of analytics answers questions like “what will happen?”

Select one:
a. descriptive
b. predictive
c. prescriptive
d. business intelligence

Q3. Analytics is the process of developing actionable decisions or recommendations for actions based on insights generated from historical data.

Select one:
a. True
b. False

Q4. Sensitivity analysis comes in what stage of the decision-making process?

Select one:
a. intelligence
b. design
c. choice
d. implementation

Q5. Which of the following statements about Big Data is true?

Select one:
a. Data chunks are stored in different locations on one computer.
b. Hadoop is a type of processor used to process Big Data applications.
c. MapReduce is a storage filing system.
d. Pure Big Data systems do not involve fault tolerance.

Q6. What is the conceptualization of a problem in an attempt to place it in a definable category, possibly leading to a standard solution approach?

Select one:
a. problem classification
b. problem decomposition
c. problem ownership
d. problem design

Q7. All of the following have contributed to the growth of decision support systems EXCEPT:

Select one:
a. Group communication and collaboration.
b. Improved data management.
c. Anywhere, anytime support.
d. Increasing costs of computer hardware.

Q8. What type of analytics answers questions like “what should I do?”

Select one:
a. descriptive
b. predictive
c. prescriptive
d. business intelligence

Q9. What type of external decision-making factor are related to a company’s ecosystem?

Select one:
a. political factors
b. economic factors
c. sociological and psychological factors
d. environmental factors

Q10. What type of external decision-making factor are included by government policy?

Select one:
a. political factors
b. economic factors
c. sociological and psychological factors
d. environmental factors

Q11. What problem-solving step is based on the understanding that solving the simpler subproblems may help in solving a complex problem?

Select one:
a. problem classification
b. problem decomposition
c. problem ownership
d. problem design

Q12. In the classic decision support framework, types of decisions are broken apart into all except one of the following categories.

Select one:
a. structured
b. semistructured
C. unstructured
d. undefined

Q13. Business intelligence (BI) can be characterized as a transformation of:

Select one:
a. data to information to decisions to actions.
b. Big Data to data to information to decisions.
c. actions to decisions to feedback to information.
d. data to processing to information to actions.

Q14. In the classic decision support framework, types of control are broken apart into all except one of the following categories.

Select one:
a. operational control
b. managerial control
c. strategic planning
d. financial control

Q15. Pushing programming out to distributed data is achieved solely by using the Hadoop Distributed File System or HDFS.

Select one:
a. True
b. False

Q16. Volume, velocity, and variety of data characterize the Big Data paradigm.

Select one:
a. True
b. False

Q17. What type of analytics answers questions like “what happened?”

Select one:
a. descriptive
b. predictive
c. prescriptive
d. business intelligence

Q18. Organization objectives comes in what stage of the decision-making process?

Select one:
a. intelligence
b. design
c. choice
d. implementation

Q19. The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball book, is an example of the effectiveness of prescriptive analytics.

Select one:
a. True
b. False

Q20. What type of external decision-making factor are related to a country’s market growth and financial conditions?

Select one:
a. political factors
b. economic factors
c. sociological and psychological factors
d. environmental factors

Q21. Predictive analytics aims to:

Select one:
a. understand what happened in the past
b. understand why something happened in the past
c. determine what is likely to happen in the future
d. describe what is currently occurring

Q22. When examining the analytic application of market basket analysis, which business question is not being asked?

Select one:
a. What products should I combined to create a bundle offer?
b. Should I combined products based on slow-moving and fast-moving characteristics?
c. What customer is buying what product at what location?
d. Should I create a bundle from the same category or a different category line?

Q23. Setting the criteria for a choice comes in what stage of the decision-making process?

Select one:
a. intelligence
b. design
c. choice
d. implementation

Q24. The use of dashboards and data visualizations is seldom effective in finding efficiencies in organizations, as demonstrated by the Seattle Children’s Hospital Case Study.

Select one:
a. True
b. False

Q25. Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is:

Select one:
a. centralized storage creates too many vulnerabilities.
b. the “Big” in Big Data necessitates over 10,000 processing nodes.
C. the processing power needed for the centralized model would overload a single computer.
d. Big Data systems have to match the geographical spread of social media.