Implementing a Data Warehouse with Microsoft SQL Server 2012
Published: June 11, 2012
Language(s): English, French, German, Japanese, Russian, Spanish, Portuguese (Brazil), Chinese (Simplified)
Audience(s): IT Professionals
Technology: Microsoft SQL Server 2012
Type: Proctored Exam
Preparing for an Exam
The Microsoft Certification website and this preparation guide contain a variety of resources to help you prepare for an exam. Preparing for and Taking an Exam — FAQ provides answers to frequently asked questions about exam registration ,preparation ,scoring ,and policies , including:
The most effective way to prepare to take an exam.
The relationship between Microsoft training materials and exam content.
Microsoft policy concerning the incorporation of service pack and revision updates into exam content.
Exam question types and formats.
Exam time limits and number of questions asked.
We recommend that you review this preparation guide in its entirety and familiarize yourself with the FAQs and resources on the Microsoft Certification website before you schedule your exam.
The primary audience for this exam is ETL and Data Warehouse Developers. They are most likely to focus on hands-on work creating business intelligence (BI) solutions including data cleansing, Extract Transform Load (ETL), and Data
Warehouse implementation. Their primary responsibilities may include:
Mastering data using Master Data Services
Cleansing data using Data Quality Services
ETL Package development for data loading/transfer/transformation
One-time data or application migration
Ad-hoc data manipulations, transformations
Scheduling ETL jobs
Managing, configuring and deploying SQL Server Integration Services (SSIS) packages
Credit Toward Certification
Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012: counts as credit toward the following certification(s):
MCSA: SQL Server 2012
MCSE: Data Platform
MCSE: Business Intelligence
This Training will Cover
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.
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.
Design and Implement a Data Warehouse (11%)
Design and implement dimensions.
This objective may include but is not limited to: design shared/conformed dimensions; determine if you need support for slowly changing dimensions; determine attributes; design hierarchies; determine whether you need star or snowflake schema; determine the granularity of relationship with fact tables; determine the need for auditing or lineage; determine keys (business transactional or your own data warehouse/surrogate keys); implement dimensions; implement data lineage of a dimension table
Design and implement fact tables.
This objective may include but is not limited to: design a data warehouse that supports many to many relationships; appropriately index a fact table; using columnstore indexes; partitioning; additive measures; semi additive measures; non additive measures; implement fact tables; determining the loading method for the fact tables; implement data lineage of a fact table; design summary aggregation tables
Extract and Transform Data (23%)
Define connection managers.
This objective may include but is not limited to: plan the configuration of connection managers; package level or project level connection manager; define a connection string; parameterization of connection strings
Design data flow.
This objective may include but is not limited to: define data sources and destinations; distinguish blocking and non-blocking transformations; use different methods to pull out changed data from data sources; determine appropriate data flow components; determine the need for supporting Slowly Changing Dimensions (SCD); determine whether to use SQL Joins or SSIS lookup or merge join transformations; batch processing versus row by row processing; determine the appropriate transform to use for a specific task; determine the need and method for identity mapping and deduplicating; fuzzy lookup, fuzzy grouping and Data Quality Services (DQS) transformation; determine the need for text mining; determine the need for custom data sources, destinations, and transforms; determine what to do with erroneous rows; determine auditing needs; determine sampling needs for data mining (advanced); trusted/authoritative data sources, including warehouse metadata
Implement data flow.
This objective may include but is not limited to: debug data flow; use the appropriate data flow components; SQL / SSIS data transformation; create SSIS packages that support slowly changing dimensions; use the Lookup task in SSIS; map identities using SSIS Fuzzy Lookup (advanced); specify a data source and destination; use data flows; different categories of transformations; read, transform & load data; understand which transforms to use to accomplish a specific business task; data correction transformation; performance tune an SSIS dataflow; optimize Integration Services packages for speed of execution; maintain data integrity, including good data flow
Manage SSIS package execution.
This objective may include but is not limited to: schedule package execution by using SQL Server Agent; execute packages by using DTEXEC; execute packages by using SQL Server Management Studio; implement package execution; plan and design package execution strategy; use PowerShell to execute script; monitor the execution using Manangement Studio; use DTEXECUI; ETL restartability
Implement script tasks in SSIS.
This objective may include but is not limited to: determine if it is appropriate to use a script task; extending the capability of a control flow; perform a custom action as needed (not on every row) during a control flow
Load Data (27%)
Design control flow.
This objective may include but is not limited to: determine control flow; determine containers and tasks needed; determine precedence constraints; design an SSIS package strategy with rollback, staging and transaction control; decide between one package or multiple packages; determine event handlers; determine variables; determine parameters on package and project level; determine connection managers and whether they are package or project level; determine the need for custom tasks; determine how much information you need to log from a package; determine the need for checkpoints; determine security needs
Implement package logic by using SSIS variables and parameters.
This objective may include but is not limited to: user variables; variable scope, data type; implement parameterization of properties using variables; using variables in precedence constraints; referring to SSIS system variables; design dynamic SSIS packages; package configurations (file or SQL tables); expressions; package and project parameters; project level connection managers; variables; implement dynamic package behavior; configure packages in SSIS for different environments, package configurations (xmlconfiguration file, SQLServer table, registry entry; parent package variables, environment variable); parameters (package and project level); project connection managers; property expressions (use expressions for connection managers)
Implement control flow.
This objective may include but is not limited to: checkpoints; debug control flow; implement the appropriate control flow task to solve a problem; data profiling; use sequence containers and loop containers; manage transactions in SSIS Packages; managing parallelism; using precedence constraint to control task execution sequence; creating package templates; using the execute package task
Implement data load options.
This objective may include but is not limited to: implement a full and incremental data load strategy; plan for an incremental update of the relational Data Mart
Implement script components in SSIS.
This objective may include but is not limited to: create an SSIS package that handles SCD Type 2 changes without using the SCD component; work with Script component in SSIS; deciding when it is appropriate to use a script component versus a built in; source, transformation, destination component; use cases: web service source and destination, getting the error message
Configure and Deploy SSIS Solutions (24%)
Troubleshoot data integration issues.
This objective may include but is not limited to: performance issues; connectivity issues; execution of a task or tranformation failed; logic issues; demonstrate awareness of the new SSIS logging infrastructure; troubleshoot a failed package execution to determine the root cause of failure; troubleshoot SSIS package failure from an invalid datatype; implement break points; data viewers; profile data with different tools; batch cleanup
Install and maintain SSIS components.
This objective may include but is not limited to: software installation (IS, management tools); development box and server; install specifics for remote package execution; planning for installation (32 versus 64-bit); upgrade; provisioning the accounts; creating the catalog
Implement auditing, logging, and event handling.
This objective may include but is not limited to: audit package execution by using system variables; propagate events; use log providers; log an SSIS execution; create alerting and notification mechanisms; use Event Handlers in SSIS to track ETL events and errors; implement custom logging
Deploy SSIS solutions.
This objective may include but is not limited to: create and configure an SSIS catalog; deploy SSIS packages by using the deployment utility; deploy SSIS packages to SQL or file system locations; validate deployed packages; deploy packages on multiple servers; how to install custom components and tasks; deploy SSIS packages by using DTUTIL
Configure SSIS security settings.
This objective may include but is not limited to: SSIS catalog database roles; package protection levels; secure Integration Services packages that are deployed at the file system; secure Integration Services parameters, configuration
Build Data Quality Solutions (15%)
Install and maintain Data Quality Services.
This objective may include but is not limited to: installation prerequisites; .msi package; adding users to the DQ roles; identity analysis, including data governance
Implement master data management solutions.
This objective may include but is not limited to: install Master Data Services (MDS); implement MDS; create models, entities, hierarchies, collections, attributes; define security roles; import/export; subscriptions
Create a data quality project to clean data.
This objective may include but is not limited to: profile Online Transaction Processing (OLTP) and other source systems; data quality knowledge base management; create data quality project; use Data Quality Client; improve data quality; identity mapping and deduplicating; handle history and data quality; manage data quality/cleansing
Make The Best Choice Chose - Certkingdom
Make yourself more valuable in today's competitive computer industry Certkingdom's preparation material includes the most excellent features, prepared by the same dedicated experts who have come together to offer an integrated solution. We provide the most excellent and simple method to pass your Microsoft MCSE: Business Intelligence 70-463 exam on the first attempt "GUARANTEED".
Unlimited Access Package
will prepare you for your exam with guaranteed results, 70-463 Study Guide. Your exam will download as a single 70-463 PDF or complete 70-463 testing engine as well as over +1500 other technical exam PDF and exam engine downloads. Forget buying your prep materials separately at three time the price of our unlimited access plan - skip the 70-463 audio exams and select the one package that gives it all to you at your discretion: 70-463 Study Materials featuring the exam engine.
Certkingdom 70-463 Exam Prepration Tools
Certkingdom Microsoft MCSE: Business Intelligence preparation begins and ends with your accomplishing this credential goal. Although you will take each Microsoft MCSE: Business Intelligence online test one at a time - each one builds upon the previous. Remember that each Microsoft MCSE: Business Intelligence exam paper is built from a common certification foundation.
70-463 Exam Testing Engines
Beyond knowing the answer, and actually understanding the 70-463 test questions puts you one step ahead of the test. Completely understanding a concept and reasoning behind how something works, makes your task second nature. Your 70-463 quiz will melt in your hands if you know the logic behind the concepts. Any legitimate Microsoft MCSE: Business Intelligence prep materials should enforce this style of learning - but you will be hard pressed to find more than a Microsoft MCSE: Business Intelligence practice test anywhere other than Certkingdom.
70-463 Exam Questions and Answers with Explanation
This is where your Microsoft MCSE: Business Intelligence 70-463 exam prep really takes off, in the testing your knowledge and ability to quickly come up with answers in the 70-463 online tests. Using MCSE: Business Intelligence 70-463 practice exams is an excellent way to increase response time and queue certain answers to common issues.
70-463 Exam Study Guides
All Microsoft MCSE: Business Intelligence online tests begin somewhere, and that is what the Microsoft MCSE: Business Intelligence training course will do for you: create a foundation to build on. Study guides are essentially a detailed Microsoft MCSE: Business Intelligence 70-463 tutorial and are great introductions to new Microsoft MCSE: Business Intelligence training courses as you advance. The content is always relevant, and compound again to make you pass your 70-463 exams on the first attempt. You will frequently find these 70-463 PDF files downloadable and can then archive or print them for extra reading or studying on-the-go.
70-463 Exam Video Training
For some, this is the best way to get the latest Microsoft MCSE: Business Intelligence 70-463 training. However you decide to learn 70-463 exam topics is up to you and your learning style. The Certkingdom Microsoft MCSE: Business Intelligence products and tools are designed to work well with every learning style. Give us a try and sample our work. You'll be glad you did.
70-463 Other Features
* Realistic practice questions just like the ones found on certification exams.
* Each guide is composed from industry leading professionals real Microsoft MCSE: Business Intelligencenotes, certifying 100% brain dump free.
* Study guides and exam papers are guaranteed to help you pass on your first attempt or your money back.
* Designed to help you complete your certificate using only
* Delivered in PDF format for easy reading and printing Certkingdom unique CBT 70-463 will have you dancing the Microsoft MCSE: Business Intelligence jig before you know it
* MCSE: Business Intelligence 70-463 prep files are frequently updated to maintain accuracy. Your courses will always be up to date.
Get MCSE: Business Intelligence ebooks from Certkingdom which contain real 70-463 exam questions and answers. You WILL pass your MCSE: Business Intelligence exam on the first attempt using only Certkingdom's MCSE: Business Intelligence excellent preparation tools and tutorials.