Microsoft 70-767 VceExamsTest Updated Exam Material

Microsoft Certified Solution Associate:

An MCSA Program or, Microsoft Certified Solutions Associate, is an entry level certification programme, or the first rung on the ladder, intended for people who seek entry-level jobs in an IT environment. MCSA is a prerequisite for more advanced Microsoft certifications.

This is where Microsoft Certification comes in. Microsoft provides a certification programme which trains the individual in the systems, networks, and computing that Microsoft programs utilise. Having a Microsoft Certification means that a company can be assured that the certified professional they are hiring is not only competent to do the work needed,but is also committed to the IT industry, at least,committed enough to make the effort and time to go through the process of certification.

You can become certified across a wide variety of Microsoft disciplines, from windows 10 operating system or Windows Server 2012 (the latter we will be looking at, in more depth in a moment). Within these certification topics, there are various tiers of qualifications which can be seen here.Attaining the MCSA certification Exams you have the core technical skills to design and build solutions for your chosen Microsoft technology.There are many types of exam related to MCSA.One of  them is following.

Skill Measured For 70-767 Exam:

This 70-767 exam measures your ability to accomplish the technical tasks listed below. Do you have feedback about the relevance of the skills measured on this exam? Please send your comments. All feedback will be reviewed and incorporated as appropriate while still maintaining the validity and reliability of the certification process. Note that We will not respond directly to your feedback. We appreciate your input in ensuring the quality of the Microsoft Certification program.

Exam70-767 Design:

• Exam Code:             70-767
• Exam Title:               Implementing a Data Warehouse using SQL
• Vendor:                     Microsoft
• Exam Questions:     237
• Last Updated:          September 5th, 2018

Exam 70-767 Topics:

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

Summary Of Exam 70-767:

In total, I spent around 60-70 hours preparing for Microsoft Exam 70-767 (Implementing a Data Warehouse using SQL):

Courses and Labs (35-40 hours)

Skills Measured (8-10 hours)

Practice Test (15-20 hours)

That does not include the time spent getting hands-on experience working on real projects. I also chose not to take any in-person classes or buy any books this time. If you do that instead, or in addition, it will of course affect the total time spent. Finally, you may have to spend half or double the time I did, depending on your background and experience. Regardless of your background, this is a difficult exam that requires a lot of dedication and effort.

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