Exam: 70-466

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Exam 70-466
Implementing Data Models and Reports with Microsoft SQL Server

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

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.

Starting 24 April 2014, the questions on this exam 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.

Build an analysis services multidimensional database (35-40%)

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 behaviour for the measures; build hierarchies; define granularity of dimension relationships

Implement and configure dimensions in a cube
Translations, define attribute relationships, implement hierarchies, implement SQL Server Analysis Services (SSAS) dimensions and cubes, create 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, implement time dimensions in cubes, manage SSAS parent-child dimensions, dimension type

Design a schema to support cube architecture
Multidimensional modelling starting from a star schema, relational modelling for a data source view, choose or create a topology, identify the appropriate data types with correct precision and size

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 (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 custom logic in a data model
Define key performance indicators (KPIs); define calculated members; create relative measures (growth, YoY, same period last year), percentage of total using MDX; named sets; add Time Intelligence; implement ranking and percentile; define MDX script to import partial PowerPivot model

Implement storage design in a multidimensional model
Create aggregations, create partitions, storage modes, define proactive caching, manage write-back partitions, implement linked cubes, implement distributed cubes

Select an appropriate model for data analysis
Select Tabular versus Multidimensional based on scalability needs, traditional hierarchical, data volume; select appropriate organisational BI, such as corporate BI or PowerBI, and team and personal BI needs and data status

Preparation resources
Dimension relationships
Defining dimension granularity within a measure group
Linked measure groups

Manage, maintain and troubleshoot a SQL Server Analysis Services (SSAS) database (15-20%)

Analyse data model performance
Identify performance consequences of data source view design, optimise performance by changing the design of the cube or dimension, analyse and optimise performances of an MDX/DAX query, optimise queries for huge data sets, optimise MDX in the calculations, performance monitor counters, select appropriate Dynamic Management Views for Analysis Services, analyse and define performance counters, monitor growth of the cache, define and view logging options

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 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, implement BIDS, deploy SSMS; test solution post deployment, decide whether or not to process, test different roles

Install and maintain an SSAS instance
Install SSAS; install development tools; identify development and production installation considerations; upgrade SSAS instance; define data file and program file location; plan for Administrator accounts; define server and database-level security; support scale-out read-only; update SSAS (service packs); install and maintain each instance type of Analysis Services, including PowerPivot; restore and import PowerPivot; back up and restore by using PowerShell

Preparation resources
Multidimensional model object processing
Performance counters (SSAS)
Permissions and access rights (Analysis Services)

Build a tabular data model (15-20%)

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

Implement business logic in a tabular data model
Implement measures and KPIs, implement Data Analysis Expressions (DAX), define relationship navigation, implement time intelligence, implement context modification

Implement data access for a tabular data model
Manage partitions, processing, select xVelocity versus DirectQuery for data access

Preparation resources
Using DirectQuery in the tabular BI Semantic Model
Roles (SSAS tabular)
Hierarchies (SSAS tabular)

Build a report with SQL Server Reporting Services (SSRS) (25-30%)

Design a report
Select report components (crosstab report, Tablix, design chart, data visualization components), design report templates (Report Definition Language), identify the data source and parameters; design a grouping structure; drilldown reports, drillthrough 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; implement headers and footers; implement matrices, table, chart, images, list, 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 (implementing 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

Configure authentication and authorisation for a reporting solution
Configure server-level and item-level role-based security, 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 SharePoint groups and permissions, define varying content for different role memberships

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

Troubleshoot reporting services issues
Query the ReportServer database; view Reporting Services log files; use Windows Reliability and Performance monitor data for troubleshooting; use the ReportServer: define service and web service objects; monitor for long-running reports, rendering and connectivity issues; use SQL Profiler; perform data reconciliation for incorrect relationships or aggregations; detect dynamic security issues; validate logic and calculations

Manage a report environment
Manage subscriptions and subscription settings; define data-driven subscriptions; 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 lifecycle; automate management of reporting services; create a report organisation structure; install and configure reporting services; deploy custom assemblies

Configure report data sources and datasets
Select appropriate query types (stored procedure versus table versus text only); configure parameterised connection strings (dynamic connection strings); define filter location (dataset versus query); configure data source options, for example, extract and connect to multiple data sources; shared and embedded data sources and datasets; use custom expressions in data sources; connect to Microsoft Azure SQL database; connect to Microsoft Azure Marketplace; implement DAX and MDX queries to retrieve appropriate data sets; work with non-relational data sources, such as XML or SharePoint lists; connect to HDInsight Server

Preparation resources
Tablix data region (Report Builder and SSRS)
Built-in Globals and Users references (Report Builder and SSRS)
Create data-driven subscription page (Report Manager)

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