Let's suppose a company has hired you as a DBA and that company asks you to work on a project. This project targets to prevent COVID-19 as it is the biggest pandemic for a number of reasons. It's a kind of virus, meaning no one has immunity. The company wants you to lead in a project as a DBA where you are required to manage the DB in design a "Corona-Watch". It can behave as a substitute to alert a person if he/she might have been exposed to the coronavirus. It uses private, local Bluetooth signals to help a person take action. Based on his/her anonymous logs it will provide a POTENTIAL RISK report: Monitor Symptoms Isolate from others Rest and take care • Get tested • Refer to medical agencies if advised Consider the given scenario to answer the following questions: a. How would you avoid data redundancy b. What are the Integrity Constraints?

The default cutoff value in the two-class classifier (i.e., C1/C2) is 0.5. Thus, if the probability of a record being a class C1 member is greater than 0.5, that record is classified as C1. It is possible to use a cutoff that is greater or lower than 0.5. In general, lowering the cutoff value will result in a decrease (no change) in the classification error rate for records that are truly C1. Note that is not an overall error rate. True False

How should one begin dealing with a scenario when there is damaged data?