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         Exam         :   Microsoft 70-458 Exam

         Title        :    Transition Your MCTS on
                            SQL Server 2008 to MCSA:
                            SQL Server 2012, Part 2




         Version :        Demo




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Microsoft exam 70-458 test name: Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012,

Part 2

Published:    June 11, 2012

Language(s): English, French, German, Japanese, Spanish, Chinese (Simplified)

Audience(s): IT Professionals

Technology: Microsoft SQL Server 2012

Type:    Proctored Exam



how to preparing for 70-458 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.



Microsoft 70-458 exam test related certification

Exam 70-458: Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012, Part 2: counts as

credit toward the following certification(s):

    MCSA: SQL Server 2012



Microsoft test 70-458 exam topics

Manage Data

    Configure and maintain a backup strategy.

         This objective may include but is not limited to: manage different backup models, including point in

time recovery; protect customer data even if backup media is lost; perform backup/restore based on proper

strategies including backup redundancy; recover from a corrupted drive; manage a multi-terabyte database;

implement and test a database implementation and a backup strategy (multiple files for user database and


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tempdb, spreading database files, backup/restore); back up a SQL Server environment; back up system

databases

    Restore databases.

          This objective may include but is not limited to: restore a database secured with TDE; recover data

from a damaged DB; restore to a point in time; file group restore; page level restore

    Implement and maintain indexes.

          This objective may include but is not limited to: inspect physical characteristics of indexes and

perform index maintenance; identify fragmented indexes; identify unused indexes; implement indexes;

defrag/rebuild indexes; set up a maintenance strategy for indexes and statistics; optimize indexes (full,

filter); statistics (full, filter) force or fix queue; when to rebuild vs. reorg and index; full text indexes; column

store indexes

    Import and export data.

          This objective may include but is not limited to: transfer data; bulk copy; bulk insert

Implement Security

    Manage logins and server roles.

          This objective may include but is not limited to: configure server security; secure the SQL Server

using Windows Account/SQL Server accounts, server roles; create log in accounts; manage access to the

server, SQL Server instance, and databases; create and maintain user-defined server roles; manage

certificate logins

    Manage database permissions.

          This objective may include but is not limited to: configure database security; database level

permissions; protect objects from being modified

    Manage users and database roles.

          This objective may include but is not limited to: create access to server/database with least

privilege; manage security roles for users and administrators; create database user accounts; contained

logins

    Troubleshoot security.

          This objective may include but is not limited to: manage certificates and keys; endpoints

Implement High Availability

    Implement AlwaysOn.


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           This objective may include but is not limited to: implement a mirroring solution using AlwaysOn;

failover

    Implement database mirroring.

           This objective may include but is not limited to: set up mirroring; monitor the performance of

database mirroring

    Implement replication.

           This objective may include but is not limited to: troubleshoot replication problems; identify

appropriate replication strategy

Design and Implement a Data Warehouse

    Design and implement dimensions.

           This objective may include but is not limited to: design shared/conformed dimensions; determine

whether 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; determine the loading

method for the fact tables; implement data lineage of a fact table; design summary aggregation tables

Extract and Transform Data

    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 vs. 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


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auditing needs; determine sampling needs for data mining; 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; specify a data source

and destination; use data flows; different categories of transformations; read, transform, and 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

    Implement script tasks in SSIS.

         This objective may include but is not limited to: determine whether it is appropriate to use a script

task; extend the capability of a control flow; perform a custom action as needed (not on every row) during a

control flow

Load Data

    Design control flow.

         This objective may include but is not limited to: determine control flow; determine containers and

tasks that are 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; use variables in precedence constraints; refer to

SSIS system variables; design dynamic SSIS packages; package configurations (file or SQL tables);

expressions; package and project parameters; project level connection managers; implement dynamic

package behavior; configure packages in SSIS for different environments, package configurations

(xmlconfiguration file, SQLServer table, registry entry; parent package variables, environment variable);


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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; manage parallelism; use precedence constraint to

control task execution sequence; create package templates; use 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

Configure and Deploy SSIS Solutions

    Troubleshoot data integration issues.

         This objective may include but is not limited to: performance issues; connectivity issues; execution

of a task or transformation 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

    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; install custom components and tasks; deploy

SSIS packages by using DTUTIL

Build Data Quality Solutions

    Install and maintain Data Quality Services.

         This objective may include but is not limited to: installation prerequisites; use Data Quality Server

Installer; add users to the DQ roles; identity analysis, including data governance


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    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, and 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 a data quality project; use Data

Quality Client; improve data quality; identity mapping and deduplicating; handle history and data quality;

manage data quality/cleansing



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