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Vendor Microsoft
Certification Microsoft Certified Professional
Exam Code 70-458
Title Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012, Part 2
No Of Questions 300
Last Updated September 16,2024
Product Type Q & A with Explanation
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Exam 70-458
Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012, Part 2


Published: June 11, 2012
Languages: English, Japanese
Audiences: IT Professionals
Technology: Microsoft SQL Server 2012
Credit toward certification: MCP, MCSA, 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 on the exam. The higher the percentage, the more questions you are likely to see on that content area on the exam. View video tutorials about the variety of question types on Microsoft exams.

Please note that the questions may test on, but will not be limited to, the topics described in the bulleted text.

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Manage data

Configure and maintain a backup strategy

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

Restore databases

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

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

Transfer data; bulk copy; bulk insert

Implement security

Manage logins and server roles

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

Configure database security; database level permissions; protect objects from being modified

Manage users and database roles

Create access to server/database with least privilege; manage security roles for users and administrators; create database user accounts; contained logins

Troubleshoot security

Manage certificates and keys; endpoints

Implement high availability

Implement AlwaysOn

Implement a mirroring solution using AlwaysOn; failover

Implement database mirroring

Set up mirroring; monitor the performance of database mirroring

Implement replication

Troubleshoot replication problems; identify appropriate replication strategy

Design and implement a data warehouse

Design and implement dimensions

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

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

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 auditing needs; determine sampling needs for data mining; trusted/authoritative data sources, including warehouse metadata

Implement data flow

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

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

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

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); parameters (package and project level); project connection managers; property expressions (use expressions for connection managers)

Implement control flow

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

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

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

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

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

Installation prerequisites; use Data Quality Server Installer; add users to the DQ roles; identity analysis, including data governance

Implement master data management solutions

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

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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