Introduction
This is top class certification exam of Microsoft. It is designed by group of Microsoft advanced level official certification experts. It has covered all the aspects of depth in the technical questions and delivery methodology of official Microsoft certification by following the complete exam syllabus. This certification questions will give you the most realistic experience in the real world exam.
Exam Details:
This Exam contains multiple choices, multi selection and true or false questions.
Pass Percentage: 70
Exam Time Limit: 90 Minutes
Exam Syllabus:
Design,
implement, and maintain a data warehouse (35–40%)
- Design
and implement dimension tables
·
Design shared and conformed dimensions, determine support requirements
for slowly changing dimensions, determine attributes, design hierarchies,
determine star or snowflake schema requirements, determine the granularity of
relationship by using fact tables, determine auditing or lineage requirements,
determine keys and key relationships for a data warehouse, implement
dimensions, implement data lineage of a dimension table
- Design
and implement fact tables
·
Identify measures, identify dimension table relationships, create
composite keys, design a data warehouse that supports many-to-many
relationships, implement semi-additive measures, implement non-additive
measures
- Design
and implement indexes for a data warehouse workload
·
Design an indexing solution; select appropriate indexes; implement
clustered, non-clustered, filtered, and columnstore indexes
- Design
storage for a data warehouse
·
Design an appropriate storage solution, including hardware, disk,
and file layout
- Design
and implement partitioned tables and views
·
Design a partition structure to support a data warehouse,
implement sliding windows, implement partition elimination, design a partition
structure that supports the quick loading and scale-out of data
Extract, transform, and load
data (40–45%)
- Design
and implement an extract, transform, and load (ETL) control flow by using
a SQL Server Integration Services (SSIS) package
·
Design and implement ETL control flow elements, including
containers, tasks, and precedence constraints; create variables and parameters;
create checkpoints, sequence and loop containers, and variables in SSIS;
implement data profiling, parallelism, transactions, logging, and security
- Design
and implement an ETL data flow by using an SSIS package
·
Implement slowly changing dimension, fuzzy grouping, fuzzy lookup,
audit, blocking, non-blocking, and term lookup transformations; map columns;
determine the appropriate transform object for a given task; determine
appropriate scenarios for Transact-SQL joins versus SSIS lookup; design table
loading by using bulk loading or standard loading; remove extra rows or bad
rows by using deduplication
- Implement
an ETL solution that supports incremental data extraction
·
Design fact table patterns, enable Change Data Capture, create a
SQL MERGE statement
- Implement
an ETL solution that supports incremental data loading
·
Design a control flow to load change data, load data by using
Transact-SQL Change Data Capture functions, load data by using Change Data
Capture in SSIS
- Debug
SSIS packages
·
Fix performance, connectivity, execution, and failed logic issues
by using the debugger; enable logging for package execution; implement error
handling for data types; implement breakpoints; add data viewers; profile data
with different tools; perform batch clean-up
- Deploy
and configure SSIS packages and projects
·
Create an SSIS catalog; deploy packages by using the deployment
utility, SQL Server, and file systems; run and customize packages by using
DTUTIL
Build data quality solutions
(15–20%)
- Create
a knowledge base
·
Create a Data Quality Services (DQS) knowledge base, determine
appropriate use cases for a DQS knowledge base, perform knowledge discovery,
perform domain management
- Maintain
data quality by using DQS
·
Add matching knowledge to a knowledge base, prepare a DQS for data
deduplication, create a matching policy, clean data by using DQS knowledge
clean data by using the SSIS DQS task, install DQS
- Implement
a Master Data Services (MDS) model
·
Install MDS; implement MDS; create models, entities, hierarchies,
collections, and attributes; define security roles; import and export data;
create and edit a subscription; implement entities, attributes, hierarchies,
and business rules
- Manage
data by using MDS
·
Use MDS tools, use the Master Data Services Configuration Manager,
create a Master Data Manager database and web application, deploy a sample
model using MDSModelDeploy.exe, use the Master Data Services web application,
use the Master Data Services Add-in for Excel, create a Master Data Management
hub, stage and load data, create subscription views
This exam is intended for the people who are preparing for the 70-767 Implementing a Data Warehouse using SQL Certification. This exam is prepared exclusively as per the real certification exam. This will definitely help to check your skills before attempting the main exam. Also it will give the complete idea how main exam will be.
This exam will evaluate your skills and will give you report on how far you are skillful in 70-767 Implementing a Data Warehouse using SQL certification exam.
In case you face any issues during the exam or you have any queries, email us at [email protected]
Wish you all the best for your certification exam and we are always ready to help you to get certified and grow in your career.
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Exam Details:
This Exam contains multiple choices, multi selection and true or false questions.
Pass Percentage: 70
Exam Time Limit: 90 Minutes
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Wish you all the best for your certification exam and we are always ready to help you to get certified and grow in your career.
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