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After following the preceding steps, I can now be sure that I ve found all the cases where an attribute depends on one of the other attributes. But there can also be attributes that depend on two, or even more, attributes. In fact, I hope there are, because I m still left with a few attributes that don t depend on any other attribute. If you ever run into this, it s a sure sign of one or more missing attributes on your shortlist one of the hardest problems to overcome in data modeling. The method for finding multiattribute dependencies is the same as that for singleattribute dependencies for every possible combination, create a sample with two rows that duplicate the columns to test and don t duplicate any other column. If at this point I hadn t found any dependency yet, I d be facing an awful lot of combinations to test. Fortunately, I ve already found some dependencies (which you ll find is almost always the case if you start using this method for your modeling), so I can rule out most of these combinations.

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At this point, if you haven t already done so, you should remove attributes that don t depend on the candidate key or that transitively depend on the primary key. You ll have noticed that I already did so. Not moving these attributes to their own tables now will make this step unnecessarily complex. The key to reducing the number of possible combinations is to observe that at this point, you can only have three kinds of attributes in the table: a single-attribute candidate key (or more in the case of a mutual dependency), one or more attributes that depend on the candidate key, and one or more attributes that don t depend on the candidate key, or on any other attribute (as we tested all single-attribute dependencies). Because we already moved attributes that depend on an attribute other than the candidate key, these are the only three kinds of attributes we have to deal with. And that means that there are six possible kinds of combinations to consider: a candidate key and a dependent attribute; a candidate key and an independent attribute; a dependent attribute and an independent attribute; two independent attributes; two dependent attributes; or two candidate keys. Because alternate keys always have a mutual dependency, the last category is a special case of the one before it, so I won t cover it explicitly. Each of the remaining five possibilities will be covered below.

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(c) +5 V (d) +50 V 13 Fill in the blank to make the following sentence true: bits sent along a single line, one bit after another (a) Serial (b) Synchronous (c) Parallel (d) Analog 14 The inputs of an R-S flip-flop are known as (a) low and high (b) octal and binary (c) synchronous and asynchronous (d) reset and set 15 When both inputs of an R-S flip-flop are 0, (a) the outputs stay as they are (b) Q = 0 and Q = 1 (c) Q = 1 and Q = 0 (d) the resulting outputs can be absurd 16 The fifth digit from the right in a binary number carries which decimal value (a) 64 (b) 32 (c) 24 (d) 16 17 What is the octal equivalent of binary 1010 (a) 4 (b) 10 (c) 12 (d) There is no way to tell without more information 18 What is the largest possible radix 10 number that can be represented as a six-digit binary number (a) Decimal 256 (b) Decimal 128 (c) Decimal 64 (d) Decimal 63 19 If one of the inputs to a two-input NOR gate is high, what is the output state (a) There is not enough information to tell (b) Low data transmission refers to digital

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