Exam Code: 70-466
Exam Name: Implementing Data Models and Reports with Microsoft SQL Server 2012
Questions: 50 Q&As
Updated: 2019-01-25
Price: $ 59 / $ 69

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Build an analysis services database (38%)

  • 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

Manage, maintain, and troubleshoot an SSAS database (18%)

  • 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

Build a tabular data model (17%)

  • 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

Build a report with SQL Server Reporting Services (SSRS) (28%)

  • 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

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