Exam 70-445:

TS: Microsoft SQL Server 2005 Business Intelligence - Development and Maintenance

Published:March 02, 2007
Language(s):English, French, German, Japanese
Audience(s):IT Professionals
Technology:Microsoft SQL Server 2005
Type:Proctored Exam

How To Get It: Schedule your exam through the following exam provider:

Take exam

Show all itemsHide all items
Preparing for an ExamThis exam will be retired on June 30th, 2011.
• See a complete list of exams scheduled for retirement.
• Read frequently asked questions about exam retirements.
Audience Profile
This exam is intended for experts in implementing and maintaining solutions by using the Microsoft SQL Server 2005 Business Intelligence tool suite. The qualified candidate for this exam typically has the following experience or knowledge.
  • Knowledge of database schemas, both relational and multidimensional
  • Experience with and/or knowledge of implementing a cube in SQL Server Analysis Services (SSAS)
  • Experience with and/or knowledge of SSAS data mining algorithms
  • Experience creating and deploying SQL Server Reporting Services (SSRS) reports
  • Experience authoring and deploying SQL Server Integration Services (SSIS) packages
  • Experience working with the Microsoft .NET Framework
Credit Toward CertificationWhen you pass Exam 70-445: TS: Microsoft SQL Server 2005 Business Intelligence - Development and Maintenance, you complete the requirements for the following certification(s):Exam 70-445: TS: Microsoft SQL Server 2005 Business Intelligence - Development and Maintenance: counts as credit toward the following certification(s):
Note This preparation guide is subject to change at any time without prior notice and at the sole discretion of Microsoft. Microsoft exams might include adaptive testing technology and simulation items. Microsoft does not identify the format in which exams are presented. Please use this preparation guide to prepare for the exam, regardless of its format.
Skills Being MeasuredThis exam measures your ability to accomplish the technical tasks listed below.The percentages indicate the relative weight of each major topic area on the exam.The higher the percentage, the more questions you are likely to see on that content area on the exam.

The information after “This objective may include but is not limited to” is intended to further define or scope the objective by describing the types of skills and topics that may be tested for the objective. However, it is not an exhaustive list of skills and topics that could be included on the exam for a given skill area. You may be tested on other skills and topics related to the objective that are not explicitly listed here.
Managing SSAS
  • Install SSAS.
    • Install multiple instances of SSAS.
    • Install a clustered instance of SSAS.
    • Migrate from SSAS 2000 to SSAS 2005 by using the Migration Wizard.
  • Configure SSAS.
    • Configure query logging.
    • Configure error logging.
    • Configure disk allocation.
    • Configure server and database roles and permissions.
  • Deploy an SSAS solution.
    • Deploy solutions by using the Deployment Wizard.
    • Deploy solutions by using XML for Analysis (XMLA) scripts.
    • Redeploy solutions by using the Synchronize Database Wizard.
    • Deploy solutions by using BIDS.
  • Monitor SSAS.
    • Monitor queries by using SQL Server Profiler.
    • Monitor SSAS by using the Performance snap-in (PerfMon).
  • Implement processing for SSAS objects.
    • Implement processing options.
    • Implement processing by using SQL Server Management Studio (SSMS), BIDS, and XMLA scripts.
  • Implement disaster recovery tasks.
    • Back up and restore the SSAS database files by using SSMS.
    • Re-create database objects by using XMLA scripts and reprocess.
Developing SSAS Solutions by Using BIDS
  • Implement security on SSAS database objects.
    • Implement security on cubes and dimensions.
    • Implement security on cell data.
    • Use Multidimensional Expressions (MDX) to define the set.
    • Grant drillthrough permissions.
  • Create a cube.
    • Define translations.
    • Define perspectives.
    • Create a cube by using the Cube Wizard.
    • Define default storage settings for new measure groups.
    • Modify a cube by using Cube Designer.
    • Define dimension relationships.
    • Regular
    • Reference
    • Fact
    • Many-to-many
  • Create dimensions.
    • Create user-defined and parent-child hierarchies within a dimension.
    • Modify properties of user-defined hierarchies and attributes.
    • Create a role-playing dimension by using the Dimension Usage tab in Cube Designer.
    • Define storage modes.
  • Create and maintain measure groups and partitions.
    • Design aggregations by using the Aggregation Design Wizard.
    • Design aggregations by using custom settings.
    • Design aggregations by using the Usage-Based Optimization Wizard.
    • Create measure groups.
    • Add measures to measure groups.
    • Modify measure properties.
    • Create partitions.
    • Define storage mode settings on partitions.
    • ROLAP, MOLAP, HOLAP
    • Proactive caching
    • Design aggregations on partitions.
  • Create key performance indicators (KPIs).
    • Create value and goal expressions.
    • Create trend indicators and expressions.
    • Create status indicators and expressions.
  • Create actions.
    • Define the action target.
    • Define the action content.
    • Includes type of action and action expression.
  • Create a data source view (DSV).
    • Add tables from a data source.
    • Create relationships.
    • Add logical primary keys to a table in the DSV.
    • Create named queries.
    • Create named calculations.
  • Create queries and calculations by using MDX.
    • Query multidimensional data by using MDX.
    • Create calculations.
    • Create calculated members in the measures dimension.
    • Create calculated members in other dimensions.
    • Create named sets.
Implementing Data Mining by Using BIDS
  • Create a data mining solution.
    • Create a data mining structure by using the Data Mining Wizard.
    • Modify a data mining structure by using Data Mining Designer.
    • Add multiple models to compare algorithms.
    • Specify which tables and columns are key, input, and predictable.
    • Specify a column's content.
    • Specify case and nested tables.
  • Select a data mining definition method.
    • Create a definition from an existing relational database.
    • Create a definition from an existing cube.
    • Configure algorithm parameters.
  • Process a data mining object.
    • Process a data mining structure by using one of the following options: process full, process structure, or process default.
    • Process a data mining model by using one of the following options: process full or process default.
  • Query the data mining model by using Data Mining Extensions (DMX).
    • Create a data mining report in SSRS to access query results.
    • Create a DMX query by using the Prediction Query Builder.
    • Create a DMX query by using SSMS.
  • Test the data mining model by using mining accuracy charts.
    • Review the classification matrix.
    • Review the lift chart.
  • Implement data mining security.
    • Grant access to the data mining structure.
    • Grant access to the data mining model.
Managing SSRS
  • Manage SSRS reports by using Report Manager.
    • Create execution properties.
    • Edit or create report properties.
    • Examples are history and time-out default.
    • Create linked reports.
    • Manage data sources.
    • Create dynamic credentials by using data source expressions.
  • Install an SSRS infrastructure.
    • Install multiple instances of SSRS.
    • Manage private keys for encryption.
  • Configure an SSRS infrastructure.
    • Configure SSRS for Internet deployment.
    • Enable My Reports to allow users to create linked reports.
    • Create and configure SSRS instances by using the Reporting Services Configuration tool (Rsconfig.exe).
  • Deploy SSRS reporting solutions.
    • Deploy report changes to production by using BIDS.
    • Deploy Report Builder models.
    • Upload files to a report server catalog from Report Manager.
  • Implement SSRS schedules and subscriptions by using Report Manager.
    • Create shared schedules.
    • Create report-specific schedules.
    • Create custom delivery options by using data-driven subscriptions.
    • Choose a delivery extension and rendering format for subscriptions.
  • Implement security on SSRS solutions by using Report Manager.
    • Manage roles.
    • Assign item-level permissions to a role.
    • Create and modify system role assignments to manage site-level permissions.
    • Implement security for My Reports.
Developing Reporting Solutions by Using SSRS
  • Create reports by using Report Designer.
    • Set report-level properties.
    • Page margins, header and footer, and page size.
    • Create a report by using Report Wizard.
    • Create report items by using Report Designer.
  • Create a Report Model for Report Builder.
    • Import a DSV into a report model project.
    • Create a DSV from a relational database source by using Model Designer.
    • Create a model from a multidimensional data source by using Report Manager.
  • Configure report navigation options.
    • Define report item, toggle visibility, and enable drilldown on another report item.
    • Implement drillthrough by creating hyperlink actions, including Jump to URL, Jump to Report, and Jump to Bookmark.
    • Change report behavior of a report by using different parameters within a URL.
  • Display datasets in data regions.
    • Apply filters to data.
    • Group and sort data.
    • Nest data regions.
    • Define aggregates.
  • Control data by applying parameters.
    • Assign parameter defaults and data types.
    • Bind datasets to parameters.
    • Expose parameters to the user interface.
  • Apply formatting and style.
    • Apply dynamic formatting by using expressions.
    • Apply static formatting.
  • Extend a report by using expressions.
    • Invoke an embedded function by using expressions.
    • Integrate an assembly by using expressions.
  • Create datasets.
    • Choose the CommandType property for relational data.
    • Create a dataset by using multidimensional data.
    • Implement parameters within a query string.
Developing Business Intelligence Solutions by Using SSIS
  • Create a package.
    • Use BIDS.
    • Use the SQL Server Import and Export Wizard.
    • Use the Package Migration Wizard.
  • Create data flow by using the data flow designer.
    • Configure sources and destinations.
    • Configure transformations.
  • Create control flow by using the control flow designer.
    • Sequence tasks by using precedence constraints.
    • Organize tasks by using containers.
    • Configure transaction handling for packages, containers, and tasks.
    • Set checkpoints to define restart points.
  • Create event handlers.
  • Implement error handling.
    • Handle errors by configuring data flow paths.
    • Handle errors by configuring control flow paths.
  • Debug packages.
    • Debug progress reporting.
    • View intermediate results by using debug windows.
    • Examine the package state by setting breakpoints.
Administering SSIS Packages
  • Implement security on SSIS packages.
    • Enforce authenticity by using digital signatures.
    • Implement the security of package contents by setting the protection level of a package.
    • Implement the security of package contents by setting the package password.
    • Configure msdb database roles, such as db_dtsadmin, for controlling access to packages.
  • Run SSIS packages.
    • Execute a package by using the dtexec utility or the DTExecUI utility.
    • Schedule SSIS packages.
    • Execute a package by using the SSIS service.
  • Manage SSIS package execution.
    • Manage packages by using the DTUtil utility.
    • Define logging options.
    • Define execution properties.
  • Deploy SSIS packages.
    • Deploy packages to files.
    • Deploy packages to databases.
    • Create a package deployment utility.
  • Manage SSIS package configurations.
    • Configure and view package configurations by using the Package Configurations Organizer dialog box.
    • Configure a package by using the Package Configuration Wizard.
    • Connect to different data source types by adding connection managers.
    • Edit package configuration variables by using the DTExecUI utility.
Preparation Tools and ResourcesTo help you prepare for this exam, Microsoft Learning recommends that you have hands-on experience with the product and that you use the following training resources. These training resources do not necessarily cover all of the topics listed in the "Skills Measured" tab.
Learning Plans and Classroom Training
Microsoft E-Learning There is no Microsoft E-Learning training currently available.
Microsoft Press Books
Practice Tests
Microsoft Online Resources
  • Learning Plan: Get started by creating a step-by-step study guide that is based on recommended resources for this exam.
  • Microsoft SQL Server 2005 – Learning Portal: Find special offers and information on training and certification.
  • Microsoft Learning Community: Join newsgroups and visit community forums to connect with your peers for suggestions on training resources and advice on your certification path and studies.
  • TechNet: Designed for IT professionals, this site includes how-to instructions, best practices, downloads, technical resources, newsgroups, and chats.
  • MSDN: Designed for developers, the Microsoft Developer Network (MSDN) features code samples, technical articles, downloads, newsgroups, and chats.
Have Questions? For advice about training and certification, connect with peers: For questions about a specific certification, chat with a Microsoft Certified Professional (MCP): To find out about recommended blogs, Web sites, and upcoming Live Meetings on popular topics, visit our community site:
Exam index