You need to configure VM1 to connect to SAN1
You have a server named Server1 that runs Windows Server 2012 R2. Server1 has the Hyper-V server role
installed. Server1 is connected to two Fibre Channel SANs and is configured as shown in the following table.
You have a virtual machine named VM1.
You need to configure VM1 to connect to SAN1.
What should you do first?
Which virtual machine settings should you configure?
Your network contains two Hyper-V hosts that run Windows Server 2012 R2. The Hyper-V hosts contain
several virtual machines that run Windows Server 2012 R2.
You install the Network Load Balancing feature on the virtual machines.
You need to configure the virtual machines to support Network Load Balancing (NLB).
Which virtual machine settings should you configure?
You need to ensure that if a physical NIC fails on Serv…
You have a Hyper-V host named Server1 that runs Windows Server 2012 R2. Server1 has the virtual switches
listed in the following table.
You create a virtual machine named VM1.VM1 has two network adapters. One network adapter connects to
vSwitch1. The other network adapter connects to vSwitch2.You configure NIC teaming on VM1.
You need to ensure that if a physical NIC fails on Server1, VM1 remains connected to the network.
What should you do on Server1?
Which two commands should you run from Windows PowerShell?
Your network contains an Active Directory domain named adatum.com. The domain contains a member server
named Host1. Host1 runs Windows Server 2012 R2 and has the Hyper-V server role installed.
Host1 hosts two virtual machines named VM5 and VM6. Both virtual machines connect to a virtual switch
named Virtual1.
On VM5, you install a network monitoring application named Monitor1.
You need to capture all of the inbound and outbound traffic to VM6 by using Monitor1.
Which two commands should you run from Windows PowerShell? (Each correct answer presents part of the
solution. Choose two.)
Which type of virtual hard disk should you create on th…
You have a server named Server1 that runs Windows Server 2012 R2. Server1 has the Hyper-V server role
installed.
An iSCSI SAN is available on the network.
Server1 hosts four virtual machines named VM1, VM2, VM3, and VM4.
You create a LUN on the SAN to host the virtual hard drive files for the virtual machines.
You need to create a 3-TB virtual hard disk for VM1 on the LUN. The solution must prevent VM1 from being
paused if the LUN runs out of disk space.
Which type of virtual hard disk should you create on the LUN?
You need to recommend which processing model must be us…
HOTSPOT
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related
data.
Litware has a health tracking application that sends health-related data from a user’s personal device to
Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States,
Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure
resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from
devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive
view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by
using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each
activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users’ activities can be reported to Azure by using an
open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity
based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the
users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date
fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers
must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to
Azure.
The health tracking application uses the features of a live dashboard to provide historical and trending.You need to recommend which processing model must be used to process the following types of data:
The top three activities per user on rainy days
The top three activities per user during the last 24 hours
The top activities per geographic region during last 24 hours
The most common sequences of three activities in a row for all of the users
Which processing model should you recommend for each date type? To answer, select the appropriate options
in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
What is the best recommendation to achieve the goal?
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related
data.
Litware has a health tracking application that sends health-related data from a user’s personal device to
Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States,
Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure
resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from
devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive
view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by
using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each
activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users’ activities can be reported to Azure by using an
open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity
based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the
users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date
fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers
must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to
Azure.
You extend the dashboard of the health tracking application to summarize fields across several users.
You need to recommend a file format for the activity data in Azure that meets the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.
Select the BEST answer.
You need to resolve the issue that causes the slow resp…
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related
data.
Litware has a health tracking application that sends health-related data from a user’s personal device to
Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States,
Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure
resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from
devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive
view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by
using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Eachactivity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users’ activities can be reported to Azure by using an
open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity
based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the
users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date
fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers
must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to
Azure.
Users report that when they access data that is more than one year old from a dashboard, the response time is
slow.
You need to resolve the issue that causes the slow response when visualizing older data.
What should you do?
What is the best recommendation to achieve the goal?
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related
data.
Litware has a health tracking application that sends health-related data from a user’s personal device to
Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States,
Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure
resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from
devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive
view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by
using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each
activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users’ activities can be reported to Azure by using an
open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity
based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the
users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date
fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers
must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to
Azure.
You need to recommend a permanent Azure Storage solution for the activity data. The solution must meet the
technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.
Select the BEST answer.
What should you recommend?
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related
data.
Litware has a health tracking application that sends health-related data from a user’s personal device to
Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States,
Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure
resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from
devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive
view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by
using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each
activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users’ activities can be reported to Azure by using an
open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity
based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the
users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date
fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers
must be prevented from accessing the private information of the users.When the Litware health tracking application asks users how they feel, their responses must be reported to
Azure.
You need to recommend a data transfer solution to support the business goals.
What should you recommend?