The correct answer is: The subject's sensitivity label must dominate the object's sensitivity label.
With a Multi-level security policy you have information that has different sensitivity labels. In order to read an object the subject's sensitivity label must be equal to or greater than that of the object. So it would be considered to dominate it, no read up.
The following answers are incorrect: The subject's sensitivity label subordinates the object's sensitivity label. Is incorrect because if the subject's sensitivity label subordinates the object's sensitivity label that would mean it is lower and the subject should not have read access to the object.
The subject's sensitivity label is subordinated by the object's sensitivity label. Is incorrect because the this would not allow for read access if the sensitivity lables were equal. So the subject's sensitivity label is not subordinated by the object's sensitivity label, the subject's label must dominate the object's label. Remember dominate means equal to or greater than where subordinate means less than.
The subject's sensitivity label is dominated by the object's sensitivity label. Is incorrect because if the object's sensitivity label dominates the subject's sensitivity label then the subject should not have access, it is the subject that must dominate the object and not the other way around. Remember dominate means equal to or greater than so this would mean that the object's sensitivity label is equal to or greater than the subject.
According to the OIG, Multi-level security is defined as a class of system-containing information with different sensitivities that simultaneously permits access by users with different security clearances and need-to-know, but prevents users from obtaining access to information for which they lack authorization. The Subject's sensitivity label must be equal to or greater than the object's sensitivity label in order for the subject to have read access to it, no read up.

A fuzzy expert system is an expert system that uses fuzzy membership functions and rules, instead of Boolean logic, to reason about data. Thus, fuzzy variables can have an approximate range of values instead of the binary True or False used in conventional expert systems. When it is desired to convert the fuzzy output to a single value, defuzzification is used. One approach to defuzzification is the CENTROID method. With this method, a value of the output variable is computed by finding the variable value of the center of gravity of the membership function for the fuzzy output value. Answers Neural network and Realistic expert system are distracters, and answer Boolean expert system is incorrect since it refers to Boolean values of one or zero.

The ASYNCHRONOUS (ASYNC) format for data transmission is a procedure or protocol in which each information CHARACTER or BYTE is individually synchronized or FRAMED by the use of Start and Stop Elements, also referred to as START BITS and STOP BITS. The Asynchronous Transmission Format is also known as START-STOP mode or CHARACTER mode. Each character or byte is framed as a separate and independent unit of DATA that may be transmitted and received at irregular and independent time intervals. The characters or bytes may also be transmitted as a contiguous stream or series of characters.