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NEW QUESTION: 1
DRAG DROP
You have data generated by sensors. The data is sent to Microsoft Azure Event Hubs.
You need to have an aggregated view of the data in near real-time by using five minute tumbling windows to identity short-term trends. You must also have hourly and a daily aggregated views of the data.
Which technology should you use for each task? To answer, drag the appropriate technologies to the correct tasks. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Topic 3, Litware, Inc
Overview
General 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 horn a user's personal device to Microsoft Azure.
Physical Locations
Litware has three development and commercial offices. The offices are located in the
Untied States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than
80 countries.
Existing Environment
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 Health Tracking Application
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.
Machine Learning Experiments
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
Planned Changes
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.
Business Goals
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Technical Requirements
Litware identities the following technical requirements:
Data from the devices must be stored from three years in a format that enables the fast processing of data 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.
Privacy Requirements
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.
Other Technical Requirements
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
NEW QUESTION: 2
A. Option E
B. Option D
C. Option A
D. Option C
E. Option B
Answer: D
Explanation:
According to the output shown the switchport (layer 2 Switching) is enabled and the port is in access mode. To make a
trunk link the port should configured as a trunk port, not an access port, by using the following command: (Config-
if)#switchport mode trunk.
NEW QUESTION: 3
Speed, magnitude, durability and generality of effect are some of the MOST important
A. variables that are overlooked by other social sciences in solving problems.
B. components of treatment packages used in treating the most severe behavior problems.
C. variables to consider when selecting reinforcers and punishers.
D. dimensions of behavior that lend themselves to quantification more readily than others.
Answer: C