Digital Fluency Exam

1. The process of training a Neutral Net is:

• a. Model – Train – Training Data – Test and Update.

• b. Train – Model – Prediction – Test and Update.

• c. Training Data – Model – Predict – Test and Update.

• d. None of the above

2. In the case of Machine Learning, the algorithm needs to be told how to make an accurate prediction by providing it with more information, whereas, in the case of Deep Learning, the algorithm is able to learn that through its own Data Processing.

• a. True

• b. False

3. Naïve Bayes classifier algorithm is useful for predicting class of the test dataset.

• a. True.

• b. False.

5. In a Deep Learning System, each connection between Neurons is association with a:

• a. Length.

• b. Weight.

• c. Function.

• d. All the above

6. Which type of analytics describes or summarizes existing data to understand what is going on or what has happened?

• a. Descriptive Analytics.

• b. Diagnostic Analytics.

• c. Predictive Analytics.

• d. Prescriptive Analytics.

7. Which one the following is NOT a key component of DBMS?

• a. Runtime Database Manager.

• b. Equitable Manager.

• c. Database Manager.

8. RDBMSes store Data in the form of tables, with most commercial Relational Database Management Systems using:

• a. SQL.

• b. Apache.

• c. WorkFusion.

9. In Canada, credit union ____________ is exploring the possibility of wealth management apps, displayed on car windscreens, for passengers to review their portfolios while being driven to their destination.

• a. Redshore.

• b. Blueshore.

• c. Deepshore.

• d. None of the above.

10. __________ are also beneficial for the elderly, providing monitoring that can help seniors to remain at home comfortably and safely, rather than moving to a nursing home or requiring 24/7 home care.

• a. Robotics.

• b. Analytics.

• c. Domotics.

• d. None of the above.

11. What is the full form of "AI"?

• a. Artificially Intelligent

• b. Artificial Intelligence

• c. Artificially Intelligence

• d. Advanced Intelligence