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<authorization> <allow users="comma-separated list of users" roles="comma-separated list of roles" verbs="comma-separated list of verbs" /> <deny users="comma-separated list of users" roles="comma-separated list of roles" verbs="comma-separated list of verbs" /> </authorization>

</Schema> <ContentFormatter> <ClassName>XsltFormatter</ClassName> <Arguments> <Argument> <Name>XsltBaseDirectoryPath</Name> <Value>%_InstancePath_%\TerritorySales</Value> </Argument> <Argument> <Name>XsltFileName</Name> <Value>TerritoryTransform.xslt</Value> </Argument> </Arguments> </ContentFormatter> <Protocols> <Protocol> <ProtocolName>File</ProtocolName> </Protocol> </Protocols> </NotificationClass> </NotificationClasses> <Providers> <HostedProvider> <ProviderName>TerritoryProvider</ProviderName> <ClassName>SQLProvider</ClassName> <SystemName>%_DBEngineInstance_%</SystemName> <Schedule> <Interval>P0DT00H00M30S</Interval> </Schedule> <Arguments> <Argument> <Name>EventsQuery</Name>

5 6 7

From a logical perspective, these containers are organized as shown in Figure 32-9. The LDAP identifier for an object s common name is CN. The DN for the Configuration container is CN=configuration, DC=ForestRootDomainName and the DN for the Schema container is CN=schema,CN=configuration,DC=ForestRootDomainName. In the cohovineyard.com domain, the DNs for the Configuration and Schema containers are CN=configuration,DC=cohovineyard,DC=com and CN=schema,CN=configuration,DC=cohovineyard,DC=com, respectively. As you can see, the distinguished name allows you to walk the directory tree from the relative name of the object you are working with to the forest root.

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The averages shown in your report will differ because of variations in server configurations. Using the report illustrated here, you can see that the relative performance of the two reports is similar. The average rendering time of the two product reports in the previous illustration is nearly the same, because rendering was required when each report was opened and each time View Report was clicked. The processing time and data retrieval time is greater for the Product Profitability Filter report, even though the query executed only once. However, the query retrieved data for all categories, which increased the data retrieval time as well as the processing time of the report. In the case of the Product Profitability Query Parameter report, the use of query parameters to retrieve a smaller dataset actually resulted in faster performance overall compared to the other report. As indicated in the Average Report Execution Times report, the times displayed in the report are milliseconds, so any delay experienced by the user in executing these reports is not particularly noticeable. However, when you are working with reports including production data, you can use the information in the Average Report Execution Times report to help you discover bottlenecks so you can take appropriate action to resolve report problems. For example, if you see that data retrieval is consuming a considerable amount of the overall processing time, you might try to improve the performance of the SQL query. If, on the other hand, you see processing is taking a long time, you might look for ways to reduce the complexity of the report. 3. Click the Execution Log Reports folder link, and then click the Report Parameters report link. 4. Expand Product Profitability Filter, and then expand Product Profitability Query Parameter.

Spike testing is a subset of stress testing. A spike test is a type of performance test focused on determining or validating the performance characteristics of the product under test when subjected to workload models and load volumes that repeatedly increase beyond anticipated production operations for short periods of time. Capacity testing is conducted in conjunction with capacity planning, which you use to plan for future growth, such as an increased user base or increased volume of data. For example, to accommodate future loads, you need to know how many additional resources (such as processor capacity, memory usage, disk capacity, or network bandwidth) are necessary to support future usage levels. Capacity testing helps you to identify a scaling strategy in order to determine whether you should scale up or scale out.

18

Part IV:

Msg 8928, Level 16, State 1, Line 1 Object ID 1993058136, index ID 1, partition ID 412092034711552, alloc unit ID 71906736119218176 (type LOB data): Page (1:24301) could not be processed. See other errors for details. Msg 8965, Level 16, State 1, Line 1 Table error: Object ID 1993058136, index ID 1, partition ID 412092034711552, alloc unit ID 71906736119218176 (type LOB data). The off-row data node at page (1:24301), slot 0, text ID 1606680576 is referenced by page (1:24298), slot 0, but was not seen in the scan.

If your question is about one of the programs in the Microsoft Office Home and Student 2010 software suite, and not about the content of this book, your first recourse is the Help system for the individual program. This system is a combination of tools and files stored on your computer when you installed the software suite or program and, if your computer is connected to the Internet, information available from the Microsoft Office Online Web site. You can find Help information in the following ways:

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