My braindumps:

There are a lot of technical errors out there. There are many reasons for it. As time flows, things become taken-for-granted, jargon builds up, stuff loses meaning or significance. Sales and marketing efforts over simplify, gloss over, totally drop key concepts and pieces, and often generally muddle stuff together. In their rush to be 'best-of-breed' almost only by being first marketers, publishers, and writers release texts riddled with errors. Brain dumps have many errors due to the knowledge having errors coming from above, and as they are geared to the passing of tests by knowing what the vender's 'right' is. Also not pushing foreword the cause of quality knowledge about their products: you don't know what you got right or wrong on the test, you don't know how they score them, nowadays you don't even know what test format to expect when you show up. (I wont even go into Sullivan Polimetric's technical problems or the lameness of the test UI. Transender's is almost as lame, but still better than a lot of other ones out there.) With a lot of these sources (and often in general on the Internet) there is no reference, no authority, especially with the braindumps, 'cause it is actually illegal for you to post your test questions - all M$ test takers sign this agreement before takeing each test too, so...

Transenders: I have found typo's and plain bad information somewhat in the questions but much more in the answers in their tests. (This could actually be viewed as helpful insofar as testing realism goes.)

Exam Cram: There are, of course, errors in these books. One nice thing is that there is a web page with erratica addendums! But these don't list all the errors, and have errors them selves...

To really know something for sure you have to set it up and experiment and play on a test network. Second to that and actually mandatory is checking out multiple sources. Most of these book series are, quite frankly, slop.

Karanjit S. Siyan does a fine job of it.

Microsoft is actually pretty accurate with a lot of data. Of course they are vague, obtuse, and as we say, "The day Microsoft makes something that doesn't suck- Is the day they start making Hoovers." With M$ (as I've found with a lot of reference material) it really helps to know the answer first in order to find it [the answer].