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|70-331||Core Solutions of Microsoft SharePoint Server 2013||1|
|70-332||Advanced Solutions of Microsoft SharePoint Server 2013|
|70-333||Deploying Enterprise Voice with Skype for Business 2015||2|
|70-334||Core Solutions of Microsoft Skype for Business 2015||2|
|70-339||Managing Microsoft SharePoint Server 2016||2|
|70-341||Core Solutions of Microsoft Exchange Server 2013||1|
|70-342||Advanced Solutions of Microsoft Exchange Server 2013|
|70-345||Designing and Deploying Microsoft Exchange Server 2016||2|
|70-346||Managing Office 365 Identities and Requirements||3|
|70-347||Enabling Office 365 Services||3|
|70-348||Managing Projects and Portfolios with Microsoft PPM||2|
|70-357||Developing Mobile Apps|
|70-410||Installing and Configuring Windows Server 2012||3|
|70-411||Administering Windows Server 2012||2|
|70-412||Configuring Advanced Windows Server 2012 Services||2|
|70-413||MCSE Designing and Implementing a Server Infrastructure||2|
|70-414||MCSE Implementing an Advanced Server Infrastructure||2|
|70-417||Upgrading Your Skills to MCSA Windows Server 2012||2|
|70-461||MCSA Querying Microsoft SQL Server 2012/2014||2|
|70-462||MCSA Administering Microsoft SQL Server 2012/2014 Databases||2|
|70-463||MCSA Implementing a Data Warehouse with Microsoft SQL Server 2012/2014||2|
|70-464||Developing Microsoft SQL Server 2012/2014 Databases||1|
|70-465||Designing Database Solutions for Microsoft SQL Server 2012|
|70-466||Implementing Data Models and Reports with Microsoft SQL Server 2012|
|70-467||Designing Business Intelligence Solutions with Microsoft SQL Server 2012||2|
|70-473||Designing and Implementing Cloud Data Platform Solutions||1|
|70-475||Designing and Implementing Big Data Analytics Solutions||1|
|70-483||MCSD Programming in C#||2|
|70-486||MCSD Developing ASP.NET MVC 4 Web Applications||2|
|70-487||MCSD Developing Windows Azure and Web Services||2|
|70-496||Administering Visual Studio Team Foundation Server 2012|
|70-497||Software Testing with Visual Studio 2012|
|70-498||Delivering Continuous Value with Visual Studio 2012 Application Lifecycle Management|
|70-532||Developing Microsoft Azure Solutions||2|
|70-533||Implementing Microsoft Azure Infrastructure Solutions||2|
|70-535||Architecting Microsoft Azure Solutions||2|
|70-537||Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack||1|
|70-695||Deploying Windows Devices and Enterprise Apps||1|
|70-697||Configuring Windows Devices||2|
|70-698||Installing and Configuring Windows 10||2|
|70-703||Administering Microsoft System Center Configuration Manager and Cloud Services Integration (Beta)||1|
|70-705||Designing and Providing Microsoft Licensing Solutions to Large Organizations||1|
|70-713||Software Asset Management (SAM) – Core||1|
|70-735||OEM Manufacturing and Deployment for Windows 10||2|
|70-740||Installation, Storage, and Compute with Windows Server 2016||2|
|70-741||MCSA Networking with Windows Server 2016||2|
|70-742||Identity with Windows Server 2016 (beta)||2|
|70-743||Upgrading Your Skills to MCSA: Windows Server 2016||2|
|70-744||Securing Windows Server 2016 (beta)||2|
|70-745||Implementing a Software-Defined Datacenter (beta)|
|70-761||Querying Data with Transact-SQL||2|
|70-762||Developing SQL Databases||2|
|70-764||Administering a SQL Database Infrastructure||2|
|70-765||Provisioning SQL Databases||1|
|70-767||Implementing a SQL Data Warehouse (beta)||1|
|70-768||Developing SQL Data Models||1|
|70-773||Analyzing Big Data with Microsoft R||1|
|70-774||Perform Cloud Data Science with Azure Machine Learning||1|
|70-775||Perform Data Engineering on Microsoft Azure HDInsight||1|
|70-776||Perform Big Data Engineering on Microsoft Cloud Services (beta)||1|
|70-778||Analyzing and Visualizing Data with Microsoft Power BI||2|
|70-779||Analyzing and Visualizing Data with Microsoft Excel||1|
|74-343||Managing Projects with Microsoft Project 2013|
|77-427||Excel 2013 Expert Part One|
|98-349||Windows Operating System Fundamentals||1|
|98-361||Software Development Fundamentals||1|
|98-365||Windows Server Administration Fundamentals||2|
|98-368||Mobility and Devices Fundamentals|
|98-375||HTML5 App Development Fundamentals||1|
|98-381||Introduction to Programming Using Python||1|
|98-383||Introduction to Programming Using HTML and CSS|
|AZ-100||Microsoft Azure Infrastructure and Deployment (beta)||1|
|MB2-707||Microsoft Dynamics CRM Customization and Configuration|
|MB2-710||Microsoft Dynamics CRM 2016 Online Deployment|
|MB2-712||Microsoft Dynamics CRM 2016 Customization and Configuration|
|MB2-715||Microsoft Dynamics 365 customer engagement Online Deployment||1|
|MB2-716||Microsoft Dynamics 365 Customization and Configuration||2|
|MB2-717||Microsoft Dynamics 365 for Sales||1|
|MB2-718||Microsoft Dynamics 365 for Customer Service|
|MB2-877||Microsoft Dynamics 365 for Field Service||1|
|MB6-894||Development, Extensions and Deployment for Microsoft Dynamics 365 for Finance and Operations|
|MB6-895||Financial Management in Microsoft Dynamics 365 for Finance and Operations||1|
|MB6-896||Distribution and Trade in Microsoft Dynamics 365 for Finance and Operations||1|
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About Lean Six Sigma
Lean Six Sigma is a managerial concept that combines aspects of Six Sigma and Lean. This managerial concept has been around for over three decades now. It dates back to 1986 when it was first used by Motorola during its enforcement and completion of the Kaizen business model. Back, then, however, this concept was dominated by aspects of Six Sigma. It was not until 2001 that these aspects were integrated following the publication of the book Leaning into Six Sigma: The Path to Integration of Lean Enterprise and Six Sigma. It has been undergoing improvements ever since.
The main goal of Lean Six Sigma is to reduce wastes and defects in the production process. On one hand, Six Sigma is designed to minimize variability in the production process while also identifying and removing any associated defects. Lean, on the other hand, is designed to identify eight categories of waste:
- Motion waste – this refers to any time lost without financial gain.
- Extra-processing waste – this refers to any time lost for whichever reason.
- Waiting waste – this refers to the downtime as a product undergoes production.
- Defects – this refers to raw materials that are not viable for use in production.
- Non-utilized talent waste – this refers to the utilization of untrained personnel to complete certain tasks.
- Inventory waste – this also refers to any time lost for whichever reason.
- Overproduction – this refers to the extra amount of products produced.
- Transportation waste – this refers to the time taken to ship products to buyers.
Lean Six Sigma utilizes DMAIC phases that are closely similar to those of Six Sigma. These phases are made up of all the combined tools of both Lean and Six Sigma. These tools are used in the training of personnel with the use of a belt-based learning system. There are five categories of belts: Yellow Belts, White Belts, Green Belts, Black Belts, and an advanced form of Black Belts dubbed Master Black Belts. Thus, the certified individuals are able to use the principles of Lean Six Sigma in an organization on the different levels.
Lean Six Sigma is one of the most popular managerial concepts today owing to its efficiency. If utilized well, this concept not only reduces waste (which, consequently, reduces the cost of production) but also improves the quality of the final product.