Exam 70-466

Implementing Data Models and Reports with Microsoft SQL Server 2012

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

Convince your boss email

Copy the following content into an email message to your boss and update [the bracketed text] with the appropriate content.

Dear [your boss's name]:

I'd like to expand and prove my technical skills by earning a Microsoft Certification. My next step is taking Exam 70-466. The registration fee is $150.00 USD.

When I pass this certification, you'll have proof of my ability to work with Microsoft SQL Server 2012 . Microsoft has training and online resources to help me prepare for the exam. I believe I'll be more effective and productive after achieving this valuable technical certification.

Let me know if you have any questions. In the meantime, you can find out more about this exam at http://www.microsoft.com/learning/en-us/exam-70-466.aspx. As you can see, the exam validates skills that are crucial to our team's success.

Thank you for your support,

[your name]

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.

Starting April 24, 2014, the questions on this exam will include content covering SQL Server 2014.

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

  • 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 (many-to-many relationships); design dimensions to support multiple related measure groups (many related fact tables); handle degenerate dimensions in a cube; identify the attributes for dimensions; identify the measures; aggregation behavior for the measures; hierarchies

  • Implement and configure dimensions in a cube

    • Translations; attribute relations; hierarchies; implement SQL Server Analysis Services (SSAS) dimensions and cubes; identify the Attribute Relationships that should be made for a given set of attributes in a dimension; develop new custom attributes on dimensions; detect possible design flaws in attribute relationships; create attribute relationships correctly in an analysis services dimension; implement time dimensions in cubes; manage SSAS parent-child dimensions; dimension type

  • Design a schema to support cube architecture

    • Multidimensional modeling starting from a star schema; relational modeling for a Data Mart; choose or create a topology; identify the appropriate data types with correct precision and size

  • Create measures

    • Logically group measures; select appropriate aggregation functions; format measures

  • Implement a cube

    • Use Business Intelligence Development Studio (BIDS) to build the cube; use BIDS to do non additive or semi additive measures in a cube; measures, perspectives; translations; dimension usage; cube specific dimension properties; measure groups; implement reference dimensions; implement many to many relationships; implement fact relationships; implement role-playing relationships; define granularity; create and manage linked measure groups and linked dimensions; actions

  • Create Multidimensional Expressions (MDX) queries

    • MDX authoring; identify the structures of MDX and the common functions (tuples, sets, topcount, SCOPE, etc.); identify which MDX statement would return the required result; implement a custom MDX or logical solution for a pre-prepared case task; graphical query designer or the generic query designer

  • Implement custom logic in a data model

    • Must include: Data Analysis Expressions (DAX) calculated columns and measures; key performance indicators (KPI); calculated members; use MDX functions to calculate members; relative Measures (growth, YoY, same period last year), % of total using MDX; named sets; adding intelligence to dimensions; Analysis Services stored procedures

  • Implement storage design in a multidimensional model

    • Aggregations; partitions; storage modes; proactive caching; manage write-back partitions

  • Select an appropriate model for data analysis

    • UDM; scalability, cleansed; traditional hierarchical; high volume of data; advanced features (support for financial applications; many to many); organizational BI; Tabular Data Model: raw data; relational tables and relationships; simpler data structures; team and personal BI; choose between multidimensional and tabular models

  • Analyze data model performance.

    • Performance consequences of DWH design; optimize performance by changing the design of the cube or dimension; analyze and optimize performances of an MDX/DAX query; optimize queries for huge data sets; optimize MDX in the calculations; performance monitor counters; DMVs; performance counters (new for tabular model), growth of the cache, logging options

  • Process data models

    • Processing tables or partitions for tabular models; processing databases, cubes, dimensions for multidimensional models; full processing versus incremental processing, remote processing; lazy aggregations; automate with Analysis Management Objects (AMO) or XML for Analysis (XMLA)

  • Troubleshoot data analysis 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

  • Deploy SSAS databases

    • Deployment Wizard; BIDS; SSMS; automation; test solution post deployment; deciding whether or not to process

  • Install and maintain an SSAS instance

    • Software installation of SSAS; development tools, development and production box installation considerations; upgrade; data file and program file location, planning for Administrator accounts; updates (service packs); install and maintain each instance type of Analysis Services, including PowerPivot; restore and import PowerPivot

  • Configure permissions and roles in Business Intelligence Semantic Model (BISM)

    • Server roles; SSAS database roles; implement dynamic security (custom security approaches); role-based access; test security permissions; cell level permissions

  • Implement a tabular data model

    • Define tables; import data; calculated columns; relationships; hierarchies and perspectives; manage visibility of columns and tables; optimize BISM for Crescent; mark a date table; sort a column by another column

  • Implement business logic in a tabular data model

    • Measures and KPIs; DAX; relationship navigation; time intelligence; context modification

  • Implement data access for a tabular data model

    • Manage partitions; processing; Vertipaq versus Direct Query

  • Design a report

    • Selecting report components (crosstab report, Tablix, design chart, data visualization components), report templates (Report Definition Language), identify the data source and parameters; designing a grouping structure; drill-down reports, drill-through reports; determine if any expressions are required to display data that is not coming directly from the data source

  • Implement a report layout

    • Formatting; apply conditional formatting; page configuration; headers and footers; matrix; table; chart; image; list; indicators, maps, grouping; use Report Builder to implement a report layout; creating a range of reports using different data regions; custom fields (implementing different parts of the report); collections (global collections); using expressions; data visualization components; identifying report parts; group variables and report variables

  • Configure authentication and authorization for a reporting solution

    • Configure server-level and item-level role-based security; configure Windows authentication and custom authentication (forms-based authentication); configure reporting service security (setup or addition of role) ; authenticating against data source; storing credential information; describe Report Server security architecture and site level security; create system level roles; item level security; create a new role assignment; assign Windows users to roles; secure reports using roles; configure SharePoint groups and permissions

  • Implement interactivity in a report

    • Drilldown; drillthrough; interactive sorting; parameters: (databound parameters; multi-value parameters); create dynamic reports in SSRS using parameters; show/hide property; actions (jump to report); filters; parameter list; fixed headers; document map, embedded HTML

  • Troubleshoot reporting services issues

    • Querying the executionlog views in ReportServer database; viewing reportingservices log files; Windows Reliability and Performance monitor; using the ReportServer: service and web service objects; long running reports; rendering; connectivity issues, use SQL Profiler; data reconciliation: incorrect relationships or aggregations; dynamic security issues; validate logic and calculations

  • Manage a report environment

    • Manage subscriptions and subscription settings, manage data sources, integrating SharePoint Server 2010; email delivery settings; managing the number of snapshots; manage schedules, manage running jobs, manage report server logs; manage report server databases, manage the encryption keys, setting up the execution log reporting; reviewing the reports; site level settings; design report lifecycle; automate management of reporting services; create a report organization structure; install and configure reporting services

  • Configure report data sources and datasets

    • Query types (stored procedure versus table versus text only); parameterized connection strings (dynamic connection strings); filter location (dataset versus query); configure data source options, for example, extract and connect to different LOB platforms; shared and embedded data sources and datasets; connect to SQL Azure database; SQL Data Market; MDX queries; work with non-relational data sources such as XML or SharePoint

Preparation options

Find training near you

Microsoft Certification PREP Talk: Exam 466

In this episode of Prep tips from certification experts, James Seymour, Certification Planner, and Matthew Roche, Senior Program Manager on the SQL Server product group, discuss the relevancy of the skills being measured on Exam 466.

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    MS Press Training Kits

    Posted by jztimmons.live.com on 15 Mar 2013 at 21:59 GMT


      Have you heard if training kits for 70-466 and 467 on the roadmap?


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Who should take this exam?

This exam is intended for business intelligence (BI) developers who focus on creating BI solutions that require implementing multi-dimensional data models, implementing and maintaining OLAP cubes, and creating information displays used in business decision making.

More information about exams

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.