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  • Published:
    11 June 2012
  • Languages:
  • Audiences:
    IT professionals
  • Technology:
    Microsoft SQL Server 2014
  • Credit towards certification:

Transition Your MCITP: Business Intelligence Developer 2008 to MCSE: Business Intelligence

This exam has been withdrawn

For currently available options, please see the Microsoft Certification exam list.

Skills measured

This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area in the exam. The higher the percentage, the more questions you are likely to see on that content area in the exam. View video tutorials about the variety of question types on Microsoft exams.

Please note that the questions may test on, but will not be limited to, the topics described in the bulleted text.

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Starting 15 May 2014, the questions on this exam include content covering SQL Server 2014.

Build an Analysis Services database
  • Design dimensions and measures
    • Given a requirement, identify the dimension/measure group relationship that should be selected; design patterns for representing business facts and dimensions; design dimension relationships to support multiple related measure groups; handle degenerate dimensions in a cube; identify the attributes for dimensions; identify the measures and the aggregation behaviour for the measures; build hierarchies; define granularity of dimension relationships
  • Create and configure measures
    • Logically group measures and configure Measure Group Properties, select appropriate aggregation functions, format measures, design the measure group for the correct granularity
  • Implement a cube
    • Use SQL Server Data Tools–Business Intelligence (SSDT-BI) to build the cube, use SSDT-BI to do non-additive or semi-additive measures in a cube, define measures, specify perspectives, define translations, define dimension usage, define cube-specific dimension properties, define measure groups, implement reference dimensions, implement many-to-many relationships, implement fact relationships, implement role-playing relationships, create and manage linked measure groups and linked dimensions, create actions
  • Create Multidimensional Expressions (MDX) queries
    • Identify the structures of MDX and the common functions, including tuples, sets, TopCount, SCOPE and more; identify which MDX statement would return the required result; implement a custom MDX or logical solution for a pre-prepared case task
  • Implement storage design in a multidimensional model
    • Create aggregations, create partitions and storage modes, define proactive caching; manage write-back partitions; implement linked cubes; implement distributed cubes

Preparation resources

Manage, maintain and troubleshoot a SQL Server Analysis Services (SSAS) database
  • Process data models
    • Define processing of tables or partitions for tabular and multidimensional models; define processing of databases, cubes and dimensions for multidimensional models; select full processing versus incremental processing; define remote processing; define lazy aggregations; automate with Analysis Management Objects (AMO) or XML for Analysis (XMLA); process and manage partitions by using PowerShell
  • Troubleshoot processing and query issues
    • Use SQL Profiler, troubleshoot duplicate key dimension processing errors, error logs and event viewer logs of SSAS, mismatch of data: incorrect relationships or aggregations, dynamic security issues, validate logic and calculations; incorrect calculations from SOLVE ORDER

Preparation resources

Build a tabular data model
  • Configure permissions and roles in a tabular model
    • Configure server roles, configure SSAS database roles, implement dynamic security (custom security approaches), role-based access, test security permissions, implement cell level permissions
  • Implement a tabular data model
    • Define tables, import data, define calculated columns, define relationships, define hierarchies and perspectives, manage visibility of columns and tables, embed links, optimise BISM for Power View, mark a date table, sort a column by another column

Preparation resources

Build a report with SQL Server Reporting Services
  • Design a report
    • Select report components (Matrix, Tablix, design chart, data visualisation components), design report templates (Report Definition Language), identify the data source and parameters, design a grouping structure, design drilldown reports and drillthrough reports, determine whether any expressions are required to display data that is not coming directly from the data source
  • Implement a report layout
    • Implement formatting; apply conditional formatting; define page configuration; implement headers and footers; implement matrices, tables, charts, images, lists, indicators, maps and groupings in reports; use Report Builder to implement a report layout; create a range of reports using different data regions; define custom fields (implement different parts of the report); implement collections (global collections); define expressions; implement data visualisation components; identify report parts; implement group variables and report variables; design for multiple delivery extension formats
  • Implement interactivity in a report
    • Implement drilldown and drillthrough; interactive sorting; implement parameters (data-bound, multi-value); create dynamic reports in SQL Server Reporting Services (SSRS) using parameters; implement show/hide property actions (including jump to report), filters, parameter list, fixed headers, document map and embedded HTML in reports
  • Manage a report environment
    • Manage subscriptions and subscription settings, manage data sources, integrate SharePoint Server, define email delivery settings, manage the number of snapshots, manage schedules, running jobs and report server logs; manage report server databases; manage the encryption keys; set up the execution log reporting, review the reports; configure site-level settings; design report life cycle; automate management of reporting services; create a report organisation structure; install and configure reporting services; deploy custom assemblies

Preparation resources

Plan business intelligence (BI) infrastructure
  • Plan for performance
    • Optimise batch procedures: extract, transform, load (ETL) in SQL Server Integration Services (SSIS)/SQL and processing phase in Analysis Services; configure proactive caching within SQL Server Analysis Services for different scenarios; understand performance consequences of named queries in a data source view; analyse and optimise query performance, including Multidimensional Expression (MDX) and Data Analysis Expression (DAX) queries; understand the difference between partitioning for load performance versus query performance in SSAS; appropriately index a fact table; optimise Analysis Services cubes in SQL Server Data Tools; create aggregations
  • Plan for scalability
    • Multidimensional OLAP (MOLAP); relational OLAP (ROLAP); hybrid OLAP (HOLAP)
Design BI infrastructure
  • Design a security strategy
    • Configure security and impersonation between SQL Server service, Analysis Services and a front-end system; implement Dynamic Dimension Security within a cube; configure security for an extranet environment; configure Kerberos security; design authentication mechanisms; design security tests; build secure solutions end to end; design security roles for calculated measures; understand the trade-offs between regular SSAS security and dynamic security
  • Design a high-availability and disaster recovery strategy
    • Design a recovery strategy, back up and restore SSAS databases, back up and restore SSRS databases, move and restore the SSIS catalogue, design an AlwaysOn solution

Preparation resources

Design a reporting solution
  • Design a Reporting Services dataset
    • Design appropriate data query parameters; create appropriate SQL queries; create appropriate DAX queries for an application; manage data rights and security, extract data from Analysis Services by using MDX queries, balance query-based processing versus filter-based processing; manage data sets through the use of stored procedures
  • Design a data acquisition strategy
    • Identify the data sources that need to be used to pull in the data, determine the changes (incremental data) in the data source (time window), identify the relationship and dependencies between the data sources, determine who can access which data, determine what data can be retained for how long (regulatory compliance, data archiving, ageing), design a data-movement strategy, profile source data, customise data acquisition using DAX with reporting services data sources
  • Design BI reporting solution architecture
    • Design appropriate reports, such as linked reports, drilldown reports, drillthrough reports and sub reports; design report migration strategies, access report services API; design code-behind strategies; identify when to use Reporting Services, Report Builder or Power View; design and implement context transfer when interlinking all types of reports (Reporting Services, Report Builder, Power View, Excel); implement BI tools for reporting in SharePoint (Excel Services versus Power View versus Reporting Services); select a subscription strategy; enable Data Alerts; design map visualisation

Preparation resources

Design BI data models
  • Design a schema
    • Design a data model, including multidimensional modelling, starting from a star or snowflake schema; design relational modelling for a Data Mart; choose or create a topology
  • Design cube architecture
    • Partition cubes and build aggregation strategies for the separate partitions; design a data model; choose a partitioning strategy for the data warehouse and cube; design the data file layout; identify the aggregation method for a measure in a MOLAP cube; performance tune a MOLAP cube using aggregations; design a data source view; design for cube drillthrough and write-back actions; choose the correct grain of data to store in a measure group; design analysis services processing by using indexes, indexed views and order-by statements
  • Design fact tables
    • Design a data warehouse that supports many-to-many dimensions with factless fact tables
  • Design and create MDX calculations
    • Design MDX queries, identify the structures of MDX and the common functions (including tuples, sets, TopCount, SCOPE and VisualTotals), identify which MDX statement would return the required result, implement a custom MDX or logical solution for a pre-prepared case task

Preparation resources

Design an ETL solution
  • Plan to deploy SSIS solutions
    • Deploy the package to another server with different security requirements, secure Integration Services packages that are deployed at the file system, understand how SSIS packages/projects interact with environments (including recoverability), choose between performing aggregation operations in the SSIS pipeline or the relational engine, plan to automate SSIS deployment, plan the administration of the SSIS Catalogue database

Preparation resources

Who should take this exam?

This is an upgrade exam allowing the candidate to upgrade their MCITP: Business Intelligence Developer 2008 certification to MCSE: Business Intelligence.

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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. To help you prepare for this exam, Microsoft recommends that you have hands-on experience with the product and that you use the specified training resources. These training resources do not necessarily cover all of the topics listed in the "Skills measured" section.