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Seid ihr herzhaft?
NEW QUESTION: 1
A. Option D
B. Option B
C. Option C
D. Option A
Answer: B
Explanation:
Case Study: 5
Northwind traders
Background
Overview
Northwind Electric Cars is the premier provider of private, low-cost transportation in Denver. Northwind drivers are company employees who work together as a team. The founding partners believe that by hiring their drivers as employees, their drivers focus on providing a great customer experience. Northwind Electric
Cars has a reputation for offering fast, reliable, and friendly service, due largely to their extensive network of drivers and their proprietary dispatching software named NorthRide.
Northwind Electric Cars drivers depend on frequent, automatic updates for the NorthRide mobile app. The
Northwind management team is concerned about unplanned system downtime and slow connection speeds caused by high usage. Additionally, Northwind's in-house data storage solution is unsustainable because of the new influx of customer data that is retained. Data backups are made periodically on DVDs and stored on- premises at corporate headquarters.
Apps
NorthRide App
Northwind drivers use the NorthRide app to meet customer pickup requests. The app uses a GPS transponder in each Northwind vehicle and Bing Maps APIs to monitor the location of each vehicle in the fleet in real time. NorthRide allows Northwind dispatchers to optimize their driver coverage throughout the city.
When new customers call, the dispatcher enters their pickup locations into NorthRide. NorthRide identifies the closest available driver. The dispatcher then contacts the driver with the pick-up details. This process usually results in a pick-up time that is far faster than the industry average.
Drivers use NorthRide to track the number of miles they drive and the number of customers they transport.
Drivers also track their progress towards their established goals, which are measured by using key performance indicators (KPIs).
NorthRide App 2.0
Northwind Electric Cars is growing quickly. New callers often wait for their calls to be answered because the dispatchers are contacting their drivers to arrange pickups for other customers.
To support the growth of the business, Northwind's development team completes an overhaul of the
NorthRide system that it has named NorthRide 2.0. When a dispatcher enters a customer's pickup location, the address and driving directions are automatically sent to the driver who is closest to the customer's pickup location.
Drivers indicate their availability on the NorthRide mobile app and can view progress towards their KPI's in real time. Drivers can also record customer ratings and feedback for each pickup.
Business Requirements
Apps
NorthRideFinder App
Northwind Electric Cars needs a customer-facing website and mobile app that allows customers to schedule pickups. Customers should also be able to create profiles that will help ensure the customer gets a ride faster by storing customer information.
Predictor App
Northwind Electric Cars needs a new solution named Predictor. Predictor is an employee-facing mobile app.
The app predicts periods of high usage and popular pickup locations and provides various ways to view this predictive data. Northwind uses this information to better distribute its drivers. Northwind wants to use the latest Azure technology to create this solution.
Other Requirements
On-premises data must be constantly backed up.
*Mobile data must be protected from loss, even if connectivity with the backend is lost.
*Dispatch offices need to have seamless access to both their primary data center and the applications
*and services that are hosted in the Azure cloud.
Connectivity needs to be redundant to on-premises and cloud services, while providing a way for
*each dispatch office to continue to operate even if one or all of the connection options fail.
The management team requires that operational data is accessible 24/7 from any office location.
*Technical Requirements
Apps and Website
NorthRide / NorthRideFinder Apps:
The solution must support on-premises and Azure data storage.
*The solution must scale as necessary based on the current number of concurrent users.
*Customer pickup requests from NorthRideFinder must be asynchronous.
*The customer pickup request system will be high in volume, and each request will have a short life
*span.
Data for NorthRideFinder must be protected during a loss of connectivity.
*NorthRide users must authenticate to the company's Azure Active Directory.
*Northwind Public Website
The customer website must use a WebJob to process profile images into thumbnails
*The customer website must be developed with lowest cost and difficulty in mind.
*The customer website must automatically scale to minimize response times for customers.
*Other Requirements
Data Storage:
The data storage must interface with an on-premises Microsoft SQL backend database.
*A disaster recovery system needs to be in place for large amounts of data that will backup to Azure.
*Backups must be fully automated and managed the Azure Management Portal.
*The recovery system for company data must use a hybrid solution to back up both the on-premises
*Microsoft SQL backend and any Azure storage.
Predictive Routing:
An Azure solution must be used for prediction systems.
*Predictive analytics must be published as a web service and accessible by using the REST API.
*Security:
The NorthRide app must use an additional level of authentication other than the employee's
*password.
Access must be secured in NorthRide without opening a firewall port.
*Company policy prohibits inbound connections from internet callers to the on-premises network.
*Customer usernames in NorthRideFinder cannot exceed 10 characters.
*Customer data in NorthRideFinder can be received only by the user ID that is associated with the
*data.
NEW QUESTION: 2
You need to resolve the log capacity issue.
What should you do?
A. Implement Application Insights Sampling.
B. Change the minimum log level in the host.json file for the function.
C. Set a LogCategoryFilter during startup.
D. Create an Application Insights Telemetry Filter.
Answer: A
Explanation:
Scenario, the log capacity issue: Developers report that the number of log message in the trace output for the processor is too high, resulting in lost log messages.
Sampling is a feature in Azure Application Insights. It is the recommended way to reduce telemetry traffic and storage, while preserving a statistically correct analysis of application data. The filter selects items that are related, so that you can navigate between items when you are doing diagnostic investigations. When metric counts are presented to you in the portal, they are renormalized to take account of the sampling, to minimize any effect on the statistics.
Sampling reduces traffic and data costs, and helps you avoid throttling.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/sampling
NEW QUESTION: 3
Select and Place:
Answer:
Explanation:
Explanation:
An external network, which provides communication between a virtual machine and a physical network by creating an association to a physical network adapter on the virtualization server.
An internal network, which provides communication between the virtualization server and virtual machines.
A private network, which provides communication between virtual machines only.
http://technet.microsoft.com/en-us/library/cc732470%28v=WS.10%29.aspx
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