MCITP: Business Intelligence Developer 2005 Certification Boot Camp

Microsoft Certified IT Professional: Business Intelligence Developer (MCITP: Business Intelligence Developer) is the premier certification for business intelligence system designers and developers. This certification demonstrates that you can design analysis solutions, data transformations, and reports.

Business intelligence developers design and implement multi-dimensional database models (logical and physical), data marts, data warehousing, data transforms, data analytics, and reporting solutions. This includes programming and customizing servers that use Multidimensional Expressions (MDX), customer transforms, and custom reporting solutions. Business intelligence developers are typically employed by mid-sized to large-sized organizations.

• Microsoft Exam 70-445: Microsoft SQL Server 2005 Business Intelligence – Implementation and Maintenance
• Microsoft Exam 70-446: Designing a Business Intelligence Infrastructure by Using Microsoft SQL Server 2005

Microsoft Exam 70-445

Microsoft SQL Server 2005 Business Intelligence - Implementation and Maintenance

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.

• 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.
• Design aggregations by using the Aggregation Design Wizard.
• Design aggregations by using custom settings.
• Design aggregations by using the Usage-Based Optimization Wizard.

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.

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Microsoft Exam 70-446

Designing a Business Intelligence Infrastructure by Using Microsoft SQL Server 2005

Planning BI Solutions

Select appropriate BI technologies.

Specify the appropriate SQL Server edition.

Design dimensional models.

• Design dimensions for each subject area.
• Design fact tables for each subject area.

Design a physical schema based on a logical design.

• Identify current dimensions that can be reused.
• Identify elements that must be added to existing dimensions or fact tables.
• Design new physical objects based on a logical model.

Design indexing, partitioning, and key structures for the relational database.

• Design an indexing strategy.
• Design a surrogate key strategy.
• Identify appropriate business keys.
• Design a partitioning strategy.

Designing SSIS Solutions

Design the extract process.

• Identify design constraints.
• Identify changed data in the source system.
• Decide the strategy for decoding textual values.

Design the load process.

• Decide whether to implement fast load.
• Design appropriate destination components to handle new and updated records during incremental loads.

Design the transformation process.

• Identify appropriate transformations and transformation options.
• Design data flow.

Design the control flow process.

• Identify appropriate control flow items.
• Design the control flow sequence.

Design logging and event handling.

• Identify appropriate uses and placement of event handlers.
• Identify appropriate uses and placement of checkpoints.
• Identify appropriate uses of logging.
• Identify appropriate uses of data flow error handling.

Designing SSRS Solutions

Acquire report data.

• Select appropriate uses of shared data sources.
• Select appropriate uses of stored procedures or user-defined functions.

Design security for SSRS.

• Define appropriate security roles.
• Specify folder security.
• Specify field-level security.

Choose an SSRS report creation strategy.

• Select appropriate uses of Report Designer.
• Select appropriate uses of Report Definition Language (RDL).
• Select appropriate uses of Report Builder.

Select appropriate report components.

• Decide appropriate uses of datasets.
• Decide appropriate uses of subreports.
• Decide the appropriate placement of extensive business logic.

Design report execution modes to support business requirements.

• Identify appropriate uses of report snapshots.
• Identify appropriate uses of on-demand reports.
• Identify appropriate uses of on-demand-from-cache reports.

Design a report subscription strategy.

• Identify appropriate uses of standard subscriptions.
• Identify appropriate uses of data-driven subscriptions.
• Identify appropriate report-delivery methods for subscriptions.

Design a strategy to maintain SSRS objects on the report server.

• Identify appropriate uses of the Reporting Services Web Service library.
• Identify appropriate uses of the Reporting Services Configuration tool.

Designing SSAS Solutions

Design the data source view (DSV).

• Select appropriate uses of named queries.
• Select appropriate uses of named calculations.
• Select appropriate uses of denormalization strategies.

Modify the SSAS dimensions.

• Identify appropriate uses of attribute relationships.
• Identify appropriate uses of column binding to support a user-defined reporting hierarchy.
• Select a design for implementing a ragged hierarchy.
• Select an appropriate strategy to implement member properties.

Modify the SSAS cube.

• Identify appropriate uses of calculated members.
• Identify appropriate uses of actions.
• Identify appropriate uses of key performance indicators (KPIs).
• Identify appropriate uses of perspectives.
• Identify appropriate uses of translations.
• Identify appropriate uses of drillthrough.

Design relationships between dimensions and measure groups.

• Identify a relationship type.
• Identify appropriate uses of role-playing dimensions.
• Choose an appropriate strategy to handle unknown dimension members.

Design security for SSAS.

• Define appropriate security roles.
• Design dimension security.
• Design cell security by using Multidimensional Expressions (MDX).

Maintaining and Optimizing SSAS Solutions

Select an appropriate aggregation strategy.

Maintain SSAS solutions by using either online or offline methods.

Ensure that the SSAS solutions are refreshed with the most recent data.

• Design a partitioning strategy for optimal data availability.
• Decide whether proactive caching is an appropriate solution.

Select appropriate processing methods for SSAS objects.

Select appropriate storage settings.

• Design partition storage settings.
• Select a dimension storage mode.

Designing Data Mining Solutions

Identify applicability of data mining to a business need.

Design the data structure to support mining.

Design a data mining model.

• Identify appropriate algorithms to meet requirements.
• Classify data as input, key, predict, and ignore.

Select data mining delivery methods.

• Select appropriate uses of SSRS Data Mining Extensions (DMX) queries.
• Select appropriate uses of ActiveX Data Objects (Multidimensional) (ADOMD).
• Select appropriate uses of SSIS Data Mining Query tasks.
• Select appropriate uses of data mining viewer controls for Microsoft .NET Framework-based applications.

Select a processing method for data mining objects.

• Select appropriate uses of full processing.
• Select appropriate uses of structure processing.
• Select appropriate uses of default processing.

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