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  • Published:
    June 11, 2012
  • Languages:
    English, Chinese (Simplified), French, German, Japanese, Portuguese (Brazil)
  • Audiences:
    IT professionals
  • Technology:
    Microsoft SQL Server
  • Credit toward certification:

Designing Business Intelligence Solutions with Microsoft SQL Server

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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 on the exam. The higher the percentage, the more questions you are likely to see on that content area on 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.

Do you have feedback about the relevance of the skills measured on this exam? Please send Microsoft your comments. All feedback will be reviewed and incorporated as appropriate while still maintaining the validity and reliability of the certification process. Note that Microsoft will not respond directly to your feedback. We appreciate your input in ensuring the quality of the Microsoft Certification program.

If you have concerns about specific questions on this exam, please submit an exam challenge.

As of April 24, 2014, the questions on this exam include content covering SQL Server 2014.

Plan business intelligence (BI) infrastructure (15–20%)
  • Plan for performance
    • Optimize 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 (SSAS) for different scenarios; understand performance consequences of named queries in a data source view; analyze and optimize 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; optimize Analysis Services cubes in SQL Server Data Tools; create aggregations
  • Plan for scalability
    • Change binding options for partitions; choose the appropriate Multidimensional OLAP (MOLAP), Relational OLAP (ROLAP), and Hybrid OLAP (HOLAP) storage modes
  • Plan and manage upgrades
    • Plan change management for a BI solution
  • Maintain server health
    • Design an automation strategy

Preparation resources

Design BI infrastructure (15–20%)
  • Design a security strategy
    • Configure security and impersonation between SQL Server service, analysis services, and front end; 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 roles for calculated measures; understand the tradeoffs between regular SSAS security and dynamic security
  • Design a SQL partitioning strategy
    • Choose the proper partitioning strategy for the data warehouse and cube, implement a parallel load to fact tables by using partition switching, use data compression
  • 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 Catalog, design an AlwaysON solution
  • Design a logging and auditing strategy
    • Design a new SSIS logging infrastructure (for example, information available through the catalog views), validate data is balancing and reconciling correctly

Preparation resources

Design a reporting solution (20–25%)
  • 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
  • Manage Excel Services/reporting for SharePoint
    • Configure data refresh schedules for PowerPivot published to SharePoint, publish BI info to SharePoint, use SharePoint to accomplish BI administrative tasks, install and configure Power View, publish PowerPivot and Power View to SharePoint
  • 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, aging), design a data movement strategy, profile source data, customize data acquisition using DAZ with reporting services data sources
  • Plan and manage reporting services configuration
    • Choose the appropriate reporting services requirements (including native mode and SharePoint mode)
  • Design BI reporting solution architecture
    • Linked drill-down reports, drill-through reports, and sub reports; design report migration strategies; access report services API; design code-behind strategies; identify when to use Reporting Services (RS), Report Builder (RB), or Power View; design and implement context transfer when interlinking all types of reports (RS, RB, Power View, Excel); implement BI tools for reporting in SharePoint (Excel Services versus PowerView versus Reporting Services); select a subscription strategy; enable Data Alerts; design map visualization

Preparation resources

Design BI data models (30–35%)
  • Design the data warehouse
    • Design a data model that is optimized for reporting; design and build a cube on top; design enterprise data warehouse (EDW) and OLAP cubes; choose between natural keys and surrogate keys when designing the data warehouse; use SQL Server to design, implement, and maintain a data warehouse, including partitioning, slowly changing dimensions (SCD), change data capture (CDC), Index Views, and column store indexes; identify design best practices; implement a many-to-many relationship in an OLAP cube; design a data mart/warehouse in reverse from an Analysis Services cube; implement incremental data load; choose between performing aggregation operations in the SSIS pipeline or the relational engine
  • Design a schema
    • Multidimensional modeling starting from a star or snowflake schema, design relational modeling for a Data Mart
  • Design cube architecture
    • Partition cubes and build aggregation strategies for the separate partitions; design a data model; choose the proper 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 drill-through 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 BI semantic models
    • Plan for a multidimensional cube; support a many-to-many relationship between tables; choose between multidimensional and tabular, depending on the type of data and workload
  • Design and create MDX calculations
    • Design MDX queries, identify the structures of MDX and the common functions (tuples, sets, TopCount, SCOPE, VisualTotals, and more), create calculated members in an MDX statement, 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 (10–15%)
  • Design SSIS package execution
    • Use the new project deployment model; pass values at execution time; share parameters between packages; plan for incremental loads versus full loads; optimize execution by using Balanced Data Distributor (BDD); choose optimal processing strategy (including Script transform, flat file incremental loads, and Derived Column transform)
  • 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, demonstrate awareness of SSIS packages/projects and how they interact with environments (including recoverability), decide between performing aggregation operations in the SSIS pipeline or the relational engine, plan to automate SSIS deployment, plan the administration of the SSIS Catalog database
  • Design package configurations for SSIS packages
    • Avoid repeating configuration information entered in SSIS packages, and use configuration files

Preparation resources

Preparation options

Exam prep videos

Microsoft Certification PREP Talk: Exam 467

In this episode of Prep tips from certification experts, James Seymour, Certification Planner, and Matthew Roche, Senior Program Manager in the SQL Server product group, discuss the relevancy of the skills being measured in Exam 467.

Exam Prep: 70-467: MCSE: Business Intelligence, SQL Server

This Exam Prep session focuses on what you need to know to pass Exam 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server. The session, led by Microsoft Certified Trainer (MCT), Armando Lacerda, walks you through the objectives covered in the exam, gives you some general exam-taking tips, and highlights best practices for working with SQL Server technology.

Self-paced training

Designing BI Solutions with Microsoft SQL Server

This course is designed for business intelligence (BI) professionals, providing tips and ideas for implementing BI solutions. It can also help you prepare for Exam 70-467. Experts walk you through how to plan and design a BI solution based on SQL Server 2014 and other Microsoft BI technologies. Learn how to plan a data warehouse infrastructure, define an appropriate disaster recovery approach, balance query‐based processing versus filter-based processing, and more.

From the community

Exam 70-467 wiki

Exam 70-467 forum

Follow @MSLearning and @sqlserver

Who should take this exam?

This exam is intended for business intelligence (BI) architects, who are responsible for the overall design of a BI infrastructure and how it relates to other data systems in use.

More information about exams

Preparing for an exam

We recommend that you review this exam preparation guide in its entirety and familiarize yourself with the resources on this website before you schedule your exam. See the Microsoft Certification exam overview for information about registration, videos of typical exam question formats, and other preparation resources. For information on exam policies and scoring, see the Microsoft Certification exam policies and FAQs.


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.