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Users require more training in how to find resources. Searching for resources within the bounds of a single forest is relatively simple from the user perspective, thanks to the global catalog. Using more than one forest means using more than one global catalog and users are forced to specify which forest they want to search when looking for resources. Users logging on to computers in forests outside their own must use the default user principal name when logging on. This requires extra training for those users. Additional IT staff must often be employed to monitor and manage a separate for est, which requires the cost of training more IT professionals and the cost of their time invested in these activities. Administrators need to keep up with multiple schemas. There are separate configuration containers for each forest. Topology changes need to be replicated to other forests. Any replication of information between forests must be manually configured.

As soon as you add the 135th row, all the entries can no longer fit on a single page, so two additional pages are created The first page contains the first half of the entries, the second page contains the second half of the entries, and the root page has two rows of data This process creates an index with a root page and two leaf-level pages This index does not need an intermediate level created because the root page can con tain all the values at the beginning of the leaf-level pages At this point, locating any row in the table requires scanning exactly two pages in the index You can continue to add rows to the table without affecting the number of levels in the index until you reach 17,957 rows You then have 134 leaf level pages with 134 entries each.

Table 2-2

4

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In this example, the Duration and VaryByParam attributes were used. The Duration attribute specifies that the page will be cached for 15 seconds. The VaryByParam attribute specifies that the cache will be varied for all query string variables.

The root page has 134 entries corresponding to the first row on each of the leaflevel pages When the 17,957th row of data is added to the table, another page needs to be allocated to the index at the leaf level, but the root page cannot hold 135 entries because it would exceed the 8,060 bytes that are allowed So an intermediate level is introduced that contains two pages The first page contains the initial entry for the first half of the leaf-level pages, and the second page contains the initial entry for the second half of the leaf-level pages The root page contains two rows at this point, cor responding to the initial value for each of the two intermediate-level pages The next time an intermediate level needs to be introduced is when the 2,406,105th row of data is added to the table.

You will need a special user account if you choose to install the NDES service. Create a domain account and make it a member of the local IIS_IUSRS group on each server that will host this service. For example, you could name this account NDESService. Client computers, ideally running Windows Vista, to request and obtain certificates.

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As you can see, this type of structure enables SQL Server to locate rows in extremely large tables very quickly In this example, finding a row in the table with nearly 25 million rows requires SQL Server to scan only three pages of data, and the table could grow to more than 300 million rows before it would require SQL Server to read four pages to find any row..

You must consider how you will support certificate enrollment. You must consider how you will renew certificates. You must create a certificate practice statement (CPS).

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