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This objective requires that you know how to configure RAS on a server running Win dows Server 2003 You need to be able to configure user authentication to a prepre pared specification You need to know how to ensure that a secure authentication protocol (Kerberos v2) is used, and how to prevent the use of downlevel protocols such as NTLM You should know that with EAP, the mechanism that authenticates a remote access connection is negotiated by the remote access client and the authenticator (either the remote access server or the RADIUS server) Because EAP may not provide sufficient encryption in all circumstances, the protocol is seldom used in isolation; rather, it is combined with another protocol such as Transport Layer Security (TLS) Windows Server 2003 RAS includes support for EAP-TLS and Message Digest 5 (MD5)-Chal lenge EAP-TLS is used in smart card login and authentication.

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EAP-RADIUS is not an EAP type, but it is the passing of EAP messages of any EAP type by an authenticator to a RADIUS server for authentication You need to know the differences between Microsoft Challenge Handshake Authen tication Protocol (MS-CHAP) versions 1 and 2, and that MS-CHAP is used with Microsoft Point-to-Point Encryption (MPPE) to encrypt the data sent over Point-toPoint Protocol (PPP) or Point-to-Point Tunneling Protocol (PPTP) connections Weaker protocols exist for compatibility with legacy or non-Microsoft operating sys tems You should know that CHAP uses reversible password encryption and is therefore less secure than other protocols, and that Password Authentication Protocol (PAP) uses plaintext passwords and is the least secure authentication protocol You are unlikely to be asked in-depth questions about Shiva Password Authentication Pro tocol (SPAP), but you should be aware of its existence.

Part III:

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should consider using temporary tables . In the Table Variables section, I ll provide examples related to these scenarios in which I ll also demonstrate execution plans .

Windows Server 2003 also supports unauthenticated access, which means that user credentials are not required In some situations unauthenticated access is useful, and you should be aware of them..

The request is to calculate, for each application, the maximum number of sessions that were open at the same point in time Such types of calculations are required to determine the cost of a type of service license that charges by the maximum number of concurrent sessions Try to develop a set-based solution that works; then try to optimize it; and then try to evaluate its algorithmic complexity Later I ll discuss a cursor-based solution and show a benchmark that compares the set-based solution with the cursor-based solution .

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One way to solve the problem is to generate an auxiliary table with all possible points in time during the covered period, use a subquery to count the number of active sessions during each such point in time, create a derived table/CTE from the result table, and then group the rows from the derived table by application, requesting the maximum count of concurrent sessions for each application Such a solution is extremely inefficient Assuming you create the optimal index for it one on (app, starttime, endtime) the total number of rows you end up scanning just in the leaf level of the index is huge It s at minimum the number of rows in the auxiliary table multiplied by the average number of active sessions at any point in time .

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Rout ine parameters should also be used for one purpose only. For details on using routine parameters, see Section 7.5, How to Use Routine Parameters.

To give you a sense of the enormousness of the task, if you need to perform the calculations for a month s worth of activity, the number of rows in the auxiliary table will be: 31 (days) 24 (hours) 60 (minutes) 60 (seconds) 300 (units within a second) Now multiply the result of this calculation by the average number of active sessions at any given point in time (let s use 20 as an example), and you get 16,070,400,000 That s assuming that you use the DATETIME data type If you use the DATETIME2 data type, which has an accuracy of 100 nanoseconds, the number is 26,784,000,000,000 Of course there s room for optimization .

There are periods in which the number of concurrent sessions doesn t change, so why calculate the counts for those The count changes only when a new session starts (increased by 1) or an existing session ends (decreased by 1) Furthermore, because a start of a session increases the count and an end of a session decreases it, a start event of one of the sessions is bound to be the point at which you will find the maximum you re looking for In short, you can simply use as your auxiliary table a derived table or CTE that returns all start times of sessions per application From there, all you need to do is follow logic similar to that mentioned earlier Here s the optimized set-based solution:.

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