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Тест №70-466: Implementing Data Models and Reports with Microsoft SQL Server 2012

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Языки теста: English
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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.
Build an Analysis Services Database (38%)
  • Design dimensions and measures.
    • This objective may include but is not limited to: 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.
    • This objective may include but is not limited to: 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.
    • This objective may include but is not limited to: 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.
    • This objective may include but is not limited to: logically group measures; select appropriate aggregation functions; format measures
  • Implement a cube.
    • This objective may include but is not limited to: 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.
    • This objective may include but is not limited to: MDX authoring; identify the structures of MDX and the common functions (including tuples, sets, topcount, and SCOPE); 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.  
    • This objective may include but is not limited to: 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), percentage of total using MDX; named sets; add intelligence to dimensions; Analysis Services stored procedures
  • Implement storage design in a multidimensional model.
    • This objective may include but is not limited to: aggregations; partitions; storage modes; proactive caching; manage write-back partitions
  • Select an appropriate model for data analysis.
    • This objective may include but is not limited to: 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
Manage, Maintain, and Troubleshoot an SSAS Database (18%)
  • Analyze data model performance.
    • This objective may include but is not limited to: performance consequences of data warehouse 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; growth of the cache, logging options
  • Process data models.
    • This objective may include but is not limited to: processing tables or partitions for tabular models; processing databases, cubes, and dimensions for multidimensional models; full processing vs. incremental processing, remote processing; lazy aggregations; automate with Analysis Management Objects (AMO) or XML for Analysis (XMLA)
  • Troubleshoot data analysis issues.

    • This objective may include but is not limited to: 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.
    • This objective may include but is not limited to: Deployment Wizard; BIDS; SSMS; automation; test solution post deployment; decide whether or not to process
  • Install and maintain a SSAS instance.
    • This objective may include but is not limited to: software installation of SSAS; development tools, development and production box installation considerations; upgrade; data file and program file location; plan for Administrator accounts; updates (service packs); install and maintain each instance type of Analysis Services, including PowerPivot; restore and import PowerPivot
Build a Tabular Data Model (17%)
  • Configure permissions and roles in Business Intelligence Semantic Model (BISM).  
    • This objective may include but is not limited to: 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.  
    • This objective may include but is not limited to: 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.
    • This objective may include but is not limited to: measures and KPIs; DAX; relationship navigation; time intelligence; context modification
  • Implement data access for a tabular data model.

    • This objective may include but is not limited to: manage partitions; processing; Vertipaq vs. Direct Query
Build a Report with SQL Server Reporting Services (SSRS) (28%)
  • Design a report.
    • This objective may include but is not limited to: select report components (crosstab report, Tablix, design chart, data visualization components); report templates (Report Definition Language); identify the data source and parameters; design a grouping structure; drill-down reports, drill-through reports; determine whether any expressions are required to display data that is not coming directly from the data source
  • Implement a report layout.
    • This objective may include but is not limited to: 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; create a range of reports using different data regions; custom fields (implement different parts of the report); collections (global collections); use expressions; data visualization components; identify report parts; group variables and report variables
  • Configure authentication and authorization for a reporting solution.

    • This objective may include but is not limited to: 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); authenticate against data source; store 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 Microsoft SharePoint groups and permissions
  • Implement interactivity in a report.
    • This objective may include but is not limited to: drilldown; drillthrough; interactive sorting; parameters (databound, multi-value); create dynamic reports in SSRS using parameters; show/hide property; actions (including jump to report); filters; parameter list; fixed headers; document map; embedded HTML
  • Troubleshoot reporting services issues.
    • This objective may include but is not limited to: query the executionlog views in ReportServer database; view reportingservices log files; Windows Reliability and Performance monitor; use 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.
    • This objective may include but is not limited to: manage subscriptions and subscription settings; manage data sources; integrate SharePoint Server 2010; email delivery settings; manage the number of snapshots; manage schedules and running jobs; manage report server logs; manage report server databases; manage the encryption keys; set up the execution log reporting; review the reports; site level settings; design report life cycle; automate management of reporting services; create a report organization structure; install and configure reporting services
  • Configure report data sources and datasets.

    • This objective may include but is not limited to: query types (stored procedure vs. table vs. text only); parameterized connection strings (dynamic connection strings); filter location (dataset vs. 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


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