AZ-800 learn - Administering Windows Server Hybrid Core Infrastructure Updated: 2023
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Exam Code: AZ-800 Administering Windows Server Hybrid Core Infrastructure learn November 2023 by Killexams.com team|
AZ-800 Administering Windows Server Hybrid Core Infrastructure
Exam Details for AZ-800 Administering Windows Server Hybrid Core Infrastructure:
Number of Questions: The test consists of approximately 40-60 questions.
Time Limit: The total time allocated for the test is 180 minutes (3 hours).
Passing Score: To pass the exam, you must achieve a minimum score of 700 out of 1000.
Exam Format: The test is conducted online and may include various question types such as multiple-choice, scenario-based, and interactive questions.
1. Implementing and Managing Hybrid Networking:
- Configuring Azure Virtual Networks
- Implementing hybrid connectivity with Azure ExpressRoute
- Configuring hybrid network security
2. Implementing and Managing Azure Active Directory:
- Integrating on-premises Active Directory with Azure AD
- Implementing Azure AD Connect
- Managing Azure AD identities and access
3. Implementing and Managing Hybrid Identity:
- Configuring Azure AD Connect for hybrid identity
- Implementing Azure AD Connect Health
- Implementing Azure Multi-Factor Authentication
4. Implementing and Managing Azure Backup and Site Recovery:
- Implementing Azure Backup for hybrid workloads
- Configuring Azure Site Recovery for hybrid disaster recovery
- Monitoring and managing backup and recovery operations
5. Implementing and Managing Hybrid Virtual Machines:
- Deploying and managing Azure virtual machines
- Configuring Azure VM networking and storage
- Managing hybrid VM connectivity and operations
6. Implementing and Managing Azure Governance and Security:
- Implementing Azure Policy for hybrid infrastructure
- Configuring Azure Security Center for hybrid security
- Monitoring and managing hybrid governance and compliance
1. Implement and manage hybrid networking solutions.
2. Integrate and manage Azure Active Directory.
3. Implement and manage hybrid identity solutions.
4. Implement and manage Azure backup and site recovery.
5. Deploy and manage hybrid virtual machines.
6. Implement and manage Azure governance and security.
The test syllabus covers the following topics:
1. Implementing and Managing Hybrid Networking
- Azure Virtual Networks configuration
- Azure ExpressRoute for hybrid connectivity
- Hybrid network security configuration
2. Implementing and Managing Azure Active Directory
- Integration of on-premises Active Directory with Azure AD
- Azure AD Connect implementation
- Azure AD identity and access management
3. Implementing and Managing Hybrid Identity
- Azure AD Connect configuration for hybrid identity
- Azure AD Connect Health implementation
- Azure Multi-Factor Authentication implementation
4. Implementing and Managing Azure Backup and Site Recovery
- Azure Backup implementation for hybrid workloads
- Azure Site Recovery configuration for hybrid disaster recovery
- Monitoring and management of backup and recovery operations
5. Implementing and Managing Hybrid Virtual Machines
- Deployment and management of Azure virtual machines
- Azure VM networking and storage configuration
- Hybrid VM connectivity and operational management
6. Implementing and Managing Azure Governance and Security
- Azure Policy implementation for hybrid infrastructure
- Azure Security Center configuration for hybrid security
- Monitoring and management of hybrid governance and compliance
|Administering Windows Server Hybrid Core Infrastructure|
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Administering Windows Server Hybrid Core Infrastructure
You need to meet the technical requirements for Server1.
Which users can currently perform the required tasks?
A. Admin1 only
B. Admin3 only
C. Admin1 and Admin3 only
D. Admin1 Admin2. and Admm3
You have an Azure virtual machine named VM1 that runs Windows Server.
You perform the following actions on VM1:
Create a folder named Folder1 on volume C
Create a folder named Folder2 on volume D.
Add a new data disk to VM1 and create a new volume that is assigned drive letter E.
Install an app named App1 on volume E.
You plan to resize VMI.
Which objects will present after you resize VM1 ?
A. Folded and Folder2 only
B. Folder1, volume E, and App1 only
C. Folded only
D. Folded. Folder2. App1, and volume E
You need to implement a name resolution solution that meets the networking requirements.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct
selection is worth one point
A. Create an Azure private DNS zone named corp.fabhkam.com.
B. Create a virtual network link in the coip.fabnkam.com Azure private DNS zone.
C. Create an Azure DNS zone named corp.fabrikam.com.
D. Configure the DNS Servers settings for Vnet1.
E. Enable autoregistration in the corp.fabnkam.com Azure private DNS zone.
F. On DC3, install the DNS Server role.
G. Configure a conditional forwarder on DC3.
You need to configure Azure File Sync to meet the file sharing requirements.
What should you do? To answer, select the appropriate options in the answer area. NOTE Each correct selection is
worth one point.
You need to meet the technical requirements for the site links.
Which users can perform the required tasks?
A. Admin1 only
B. Admin1 and Admin3 only
C. Admin1 and Admin2 only
D. Admin3 only
E. Admin1, Adrrun2. and Admin3
Topic 1, Contoso Ltd
This is a case study. Case studies are not timed separately. You can use as much test time as you would like to
complete each case. However, there may be additional case studies and sections on this exam. You must manage your
time to ensure that you are able to complete all questions included on this test in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case
study. Case studies might contain exhibits and other resources that provide more Information about the scenario that is
described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make
changes before you move to the next section of the exam. After you begin a new section, you cannot return to this
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the
content of the case study before you answer the questions. Clicking these buttons displays information such as
business requirements, existing environment, and problem statements, if the case study has an All Information tab.
note that the information displayed is identical to the information displayed on the subsequent tabs. When you are
ready to answer a question, click the Question button to return to the question.
AD DS Environment
The network contains an on-premises Active Directory Domain Services (AD DS) forest named contoso.com. The
forest contains two domains named contoso.com and canada.contoso.com.
The forest contains the domain controllers shown in the following table.
All the domain controllers are global catalog servers.
The network contains the servers shown in the following table.
A server named Server4 runs Windows Server and is in a workgroup. Windows Firewall on Servei4 uses the private
Server2 hosts three virtual machines named VM1. VM2, and VM3.
VM3 is a file server that stores data in the volumes shown in the following table.
The contoso.com domain has the Group Policies Objects (GPOs) shown in the following table.
The forest contains the users shown in the following table.
The forest contains the groups shown in the following table.
When an administrator signs in to the console of VM2 by using Virtual Machine Connection, and then disconnects
from the session without signing out another administrator can connect to the console session as the currently signed-
Contoso identifies the following technical requirements:
Change the replication schedule for all site links to 30 minutes.
Promote Server1 to a domain controller in canada.contoso.com.
Install and authorize Server3 as a DHCP server.
Ensure that User! can manage the membership of all the groups in ContosoOU3.
Ensure that you can manage Server4 from Server1 by using PowerShell removing.
Ensure that you can run virtual machines on VM1.
Force users to provide credentials when they connect to VM2.
On VM3, ensure that Data Deduplication on all volumes is possible.
You need to meet the technical requirements for VM3
On which volumes can you enable Data Deduplication?
A. D and E only
B. C, D, E, and F
C. D only
D. C and D only
E. D, E, and F only
Which groups can you add lo Group3 and Groups? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.
You need to configure the Group Policy settings to ensure that the Azure Virtual Desktop session hosts meet the
What should you configure?
A. security filtering for the link of GP04
B. security filtering for the link of GPOl
C. loopback processing in 0PO4
D. the Enforced property for the link of GP01
E. loopback processing in GPOl
F. the Enforced property for the link of GP04
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âMicrosoft copilot is that one experience that runs across all our surfaces, understanding your context on the web, on your device and when youâre at work, bringing the right skills to you when you need them,â says Microsoft CEO Satya Nadella.
Microsoft Chairman and CEO Satya Nadella declared an âage of copilotsâ and introduced a host of new technology and products aimed at making the vendor No. 1 in artificial intelligence from the infrastructure layer to data and applications.
CopilotsâMicrosoftâs name for its generative AI tools that can generate text, code and other contentâare the new user interface âthat helps us gain access to the worldâs knowledge and your organizationâs knowledge,â Nadella saidduring his keynote address at Redmond, Wash.-based Microsoftâs annual Ignite conference.
âMost importantly, itâs your agent that helps you act on that knowledge,â Nadella said.
Nadella Talks AI Infrastructure
On the subject of infrastructure, Nadella called Microsoft âthe worldâs best systems company across heterogeneous infrastructureâ with a data center network that is âone of the most advanced and extensive in the world already.â
Microsoftâs hollow core fiber (HCF) technologyâpart of the reason for the vendorâs acquisition of Lumenisity in Decemberâhelps Microsoft deliver a 47 percent improvement in network speed, Nadella said.
Microsoftâs position as a systems company led to one of the vendorâs biggest announcements at Ignite 2023: its first custom, in-house CPU series, Azure Cobalt. Cobalt already powers parts of Microsoft Teams, Azure Communication Services and Azure SQL. The chips will become available to users next year, Nadella said.
When talking about Azureâs capabilities, Nadella called out its MLPerf benchmarking consortium submission of 10,000 H100 GPUsâthree times more than the previous record.
Top500 ranked the Eagle system installed in Azure as the most powerful supercomputer in the public cloud and third including private clouds. Ahead of Eagle was the No. 1 Frontier system based on Hewlett Packard Enterprise Cray architecture and equipped with AMD Epyc processors. The No. 2 Aurora system is based on HPE Cray with Intel Xeon processors.
âThat made news,â Nadella said. âWhat didnât make news is we didnât submit the entirety of our supercomputer. We just submitted only a fraction of our supercomputer. So Iâm thrilled to be No. 3 with that.â
Nadella also showcased the Microsoft Azure Maia AI accelerator, complete with an end-to-end rack to help with AI compute workloadsâ cooling and networking density needs.
âThis architecture allows us to take this rack and put it into existing data center infrastructure and facilities rather than building new ones,â he said.
Nadella On AI Models, Data
A major unveiling around the models that power GenAI was Nadella describing a models-as-a-service offer in Azure. Models-as-a-service will allow âaccess to these large models that are all available as open source as just hosted APIs without you as developers having to provision GPUs so that you can focus on development, not back-end operations,â he said.
He promised Azure AI users the latest in developments from Microsoft-backed OpenAI, the organization behind the ChatGPT text generator and Dall-E image generator.
âAs OpenAI innovates, we will deliver all of that innovation as part of Azure AI,â he said. âAnd we are bringing the very latest of GPT-4âincluding GPT-4 Turbo, GPT-4 Turbo with Visionâto Azure OpenAI Service. âŚ GPT-4 Turbo will be available in Azure open AI Service this week in preview. And the token pricing for the new models will be at parity with OpenAI.â
In data, Microsoft is âintegrating the power of AI across the entirety of the data stack,â Nadella said.
He called the launch of the Microsoft Fabric data platformânow generally availableââour biggest data launch perhaps since SQL Server.â Fabric already has 25,000 customer users.
Fabricâs mirroring capability âis a frictionless way to add existing cloud data warehouses as well as databases to Fabric from Cosmos DB or Azure SQL DBâas well as Mongo and Snowflakeânot only on our cloud, but any cloud to Fabric,â he said.
Microsoft added vector indices to Cosmos DB and PostgreSQL, he said. The vendor also moved the management of AI-powered indices out of the application domain and into the database itself with Azure AI extensions for PostgreSQL.
âThis makes it easy and efficient for developers to use AI to unlock the full potential of all their relational data in the database,â he said.
He called Microsoftâs Azure AI Search âa first-class vector search plus state-of-the-art reranking technology, delivering these very high-quality responses much beyond what you can just get from a vanilla vector search.â
Microsoft The Copilot Company
Nadella said that Microsoft is âthe copilot companyâ and described âa future where there will be a copilot for everyone and everything you do.â
âMicrosoft copilot is that one experience that runs across all our surfaces, understanding your context on the web, on your device and when youâre at work, bringing the right skills to you when you need them,â he said. âJust like, say, today you boot up an operating system to access applications or a browser to navigate to a website, you can invoke a copilot to do all these activities and moreâto shop, to code, to analyze, to learn, to create. We want the copilot to be everywhere you are.â
Users can leverage plugins and GPTsââa new way for anyone to create a tailored version of ChatGPT thatâs more helpful for very specific tasks at work or at home,â Nadella saidâto customize copilots with the new Copilot Studio.
âIt can connect to databases, custom back ends, legacy systems that may even be on-premises,â he said. âAll of this allows you to extend copilot with capabilities unique to your organization and the systems you use every day.â
AI With Mixed Reality, Quantum Computing
The Microsoft CEO ended his keynote with a taste of the next stage in AI: AI with mixed reality and AI with quantum.
Microsoftâs Copilot in Dynamics 365 (D365) Guides, unveiled during Ignite 2023, shows how âthe real world becomes your prompt and interface,â Nadella said.
âPay attention to how not just your voice, but your gesturesâeven where you lookâbecomes a new input and how transformative it can be to someone like a frontline worker using Dynamics 365,â he said.
The technology isnât science fiction, with Siemens and Chevron among the Microsoft customers previewing it. âItâs great to see the power,â he said. âAnd I think itâs going to be even more powerful in the years to come.â
For AI and quantum computing users, Nadella said that Azure Quantum Elements can generate new chemical compounds for simulations just as GenAI applications can generate text.
âJust imagine if you can compress 250 years of progress in chemistry and material science into the next 25 years,â he said. âThatâs truly using the power of AI to change the pace of science. In this example, Iâm just using a Python notebookâI mean, think about it, just a Python notebookâwith Quantum Elements to discover a new coolant, a process that would have taken three years if they just used traditional computational techniques, but it probably takes nine hours now.â
He continued: âI can reason over these results with a copilot, narrow them down, find the most promising candidates. Using Quantum Elements, any scientist can design novel new molecules with unique properties for developing more sustainable chemicals, drugs, advanced materials or batteries. And this is just the very beginning.â
Nadella highlighted Microsoftâs partnership with Photonic to bring quantum computing to networking.
âCombining that infrastructure and bringing it right into Azure takes us one more step closer to the promise of quantum networking and computing inside of Azure,â Nadella said. âAt the end of the day, though, all of this innovation will only be useful if itâs empowering all of us in our careers, in our communities, in our countries. âŚ Just imagine if 8 billion people always had access to a personalized tutor, a doctor that provided them medical guidance, a mentor that gave advice for anything they need. I believe all of thatâs within reach.â
As it ramps up its artificial intelligence (AI) strategy, Microsoft has developed a custom semiconductor, the Maia AI Accelerator, which it will use internally for its Copilot and Azure OpenAI service. There are also plans to make the technology available to Azure customers.
Among the main drivers for developing Maia is greater efficiency and optimisation when servers based on the new semiconductor are used in Microsoft Cloud datacentres.
According to Brian Harry, a Microsoft technical fellow leading the Azure Maia team, the Maia 100 AI Accelerator has been designed specifically for the Azure hardware stack. He claimed this vertical integration â which aligns chip design with the larger AI infrastructure designed for Microsoftâs workloads â can yield huge gains in performance and efficiency.
Sam Altman, CEO of OpenAI, said: âSince first partnering with Microsoft, weâve collaborated to co-design Azureâs AI infrastructure at every layer for our models and unprecedented training needs. We were excited when Microsoft first shared their designs for the Maia chip, and weâve worked together to refine and test it with our models. Azureâs end-to-end AI architecture, now optimised down to the silicon with Maia, paves the way for training more capable models and making those models cheaper for our customers.â
Along with Maia AI, the company also unveiled the Microsoft Azure Cobalt CPU, an Arm-based processor tailored to run general purpose compute workloads on the Microsoft Cloud along with expanding industry partnerships to provide more infrastructure options for customers. These partnerships include a new NC H100 v5 Virtual Machine Series built for Nvidia H100 Tensor Core GPUs and the addition of Nvidia H200 Tensor Core GPU to its fleet next year to support larger model inferencing with no increase in latency.
Microsoft has also added AMD-powered AI hardware to its portfolio in ND MI300 virtual machines, which it said are designed to accelerate the processing of AI workloads for high-range AI model training and generative inferencing. ND MI300 uses AMDâs latest GPU, the AMD Instinct MI300X.
Scott Guthrie, executive vice-president of Microsoftâs Cloud + AI Group, said: âMicrosoft is building the infrastructure to support AI innovation, and we are reimagining every aspect of our datacentres to meet the needs of our customers. At the scale we operate, itâs important for us to optimise and integrate every layer of the infrastructure stack to maximise performance, diversify our supply chain and supply customers infrastructure choice.â
There is growing evidence that the computational power required to run AI workloads and, in particular, large language models, consumes huge amounts of energy.
In February,Â research firm SemiAnalysis suggested OpenAI required 3,617 of Nvidiaâs HGX A100 servers, with a total of 28,936 graphics processing units, to support ChatGPT, implying an energy demand of 564 MWh per day. The research estimated that ChatGPT costs $694,444 per day to run.
A accurate New York Times article quoted a researcher who predicts the electricity needed to run AI could increase the worldâs carbon emissions significantly, but this would depend on whether the datacentres are powered by fossil fuels or renewable energy resources.
Wes McCullough, corporate vice-president of hardware product development, said choosing Arm technology was a key element in Microsoftâs sustainability goal.
âThe architecture and implementation is designed with power efficiency in mind,â he said. âWeâre making the most efficient use of the transistors on the silicon. Multiply those efficiency gains in servers across all our datacentres, it adds up to a pretty big number.â
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