Implementing a Software-Defined DataCenter (MS-20745)
Virtual
Learning Style
Course
Learning Style
Beginner
Difficulty
5 Days
Course Duration
5
SATV Value
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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An SDDC (software-defined data center) is a data storage capability in which all infrastructure basics -- networking, storage, CPU and safety are virtualized and transported as a service. Arrangement, procedure, provisioning and configuration are preoccupied from hardware. Those tasks are executed over software intelligence. This five day Microsoft Training course is specifically designed for the students who are inclined to get hands on experience on implementing software-defined data center. The course moreover covers specialization for configure and manage the Virtual Machine Manager library and library objects.
Course Information
If you enroll in this course without the Master Subscription plan, you receive a Free Official Exam Voucher (excluding purchases using Training Vouchers / SATV) for the 70-745 Exam. This course does not include Exam Voucher if enrolled within the Master Subscription, however, you can request to purchase the Official Exam Voucher separately.
This five-day comprehensive course describes how to execute and manage virtualization set-up in a software-defined datacenter by means of System Center 2016 Virtual Machine Manager. The course as well describes how to monitor the infrastructure by utilizing System Center Operations Manager and shield it by means of Data Protection Manager.
Audience:
This course focuses on the essentials of Microsoft Training and is envisioned for IT specialists and administrators who are accountable for designing, executing, and handling virtualization infrastructure in a software-definite datacenter by utilizing System Center 2016 Virtual Machine Manager. The chief focus of this course is on handling Hyper-V virtualization infrastructure in Windows Server 2016, even though the course similarly covers additional virtualization platforms that can be managed by using Virtual Machine Manager 2016. Virtualization is the formation of a virtual (somewhat than physical) form of an IT environment, comprising an operating system (OS), a storage maneuver, etc. Virtualization takes place on the similar hardware platform afterwards installing precise software – hypervisor. Hyper-V is a mixture hypervisor, which is installed from OS (via Windows wizard of adding roles). Though, all through installation it restructures the OS construction and converts just like a subsequent layer on the physical hardware.
Course Objectives:
After finishing this course, students will be able to:
Explicate the diverse virtualization options.
Install and handle Hyper-V on Windows Server 2016.
Install and organize System Center 2016 Virtual Machine Manager.
Handle storage fabric and fabric updates.
Construct and manage the Virtual Machine Manager library and library objects.
Handle the networking fabric.
Construct and manage virtual machines by utilizing Virtual Machine Manager.
Achieve clouds in Virtual Machine Manager.
Achieve services in Virtual Machine Manager.
Monitor a virtualization setup by using System Center Operations Manager.
Incorporate and achieve Hyper-V Replica and Azure Site Retrieval.
Shield virtualization set-up by using Data Protection Manager.
Outline
More Information
| Subjects | IT Ops & Management |
|---|---|
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 5 Days |
| Language | English |
| SATV Value | 5 |
| VPA Discount | VPA Discount |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
