Тест №70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012
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Темы:
Skills Being
MeasuredThis
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 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 (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 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.
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
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 Windows
PowerShell to execute scripts; monitor the
execution using Management Studio; use DTEXECUI;
ETL restartability
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 (27%)
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); 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
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; decide when it is
appropriate to use a script component vs. one
that is built in; source, transformation, and
destination components; 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 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
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; plan for
installation (32 vs. 64 bit); upgrade; provision
the accounts; create 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; 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; use Data Quality
Server Installer; add 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, 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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