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NEW QUESTION: 1
Given:

Which inserted at line 11, will provide the following output?
[21, 15, 11]
A. Ust.removelf(e -> e%2 = 0);
B. list.removelf(e -> e%2 != 0);
C. None of the above.
D. list.remove(e -> e%2 = 0);
E. list.removelf(e > e%2 != 0);
Answer: A
Explanation:
In output we can see that only odd numbers present, so we need to remove only even numbers to get expected output. From Java SE 8, there is new method call removelf which takes predicate object and remove elements which satisfies predicate condition. Predicate has functional method call take object and check if the given condition met or not, if met it returns true, otherwise false. Option C we have passed correct lambda expression to check whether the number is odd or even that matches to the functional method of predicate interface. Option A is incorrect as it is invalid lambda expression. Option B is incorrect as it removes all odd numbers. Option D is incorrect as there is no remove method that takes predicate as argument. https://docs.oracle.eom/javase/8/docs/api/java/util/ArrayList.html

NEW QUESTION: 2
ネットワークエンジニアが2つのスイッチ間のファイバー接続を構成しました。接続はEtherChannelとして設定されています。デバイスの電源をオンにした直後に、ファイバーポートが無効になります。最も可能性の高い原因は何ですか？
A. スパニングツリーがポートを無効にしました。
B. EtherChannel構成が正しくありません。
C. UDLD標準モードがインターフェースにセットアップされました。
D. UDLDアグレッシブモードがポートにセットアップされています。
Answer: D

NEW QUESTION: 3
You need to recommend the appropriate strategy for the data mining application. What should you recommend?
A. Configure multiple on-premises cluster that runs multiple Azure virtual machines to connect by using an Azure virtual private network (VPN).
B. Configure a cluster of high-performance computing virtual machines (VMs) that use the largest number of cores. Ensure that the VMs are instantiated in the same Azure datacenter.
C. Configure an on-premises cluster that runs multiple Azure virtual machines that is located in the central office.
D. Configure a cluster of high-performance computing virtual machines (VMs) that use the largest number of cores. Ensure that the VMs are instantiated in different Azure datacenters that are distributed across the same affinity group.
Answer: C
Explanation:
Explanation
Scenario: Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the existing on-premises cluster with a cloud-based solution.
* The data mining solution must support the use of hundreds to thousands of processing cores.
* Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine must always have eight or more processor cores available.
* Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the demand of the analysis.
* Virtual machines must use remote memory direct access to improve performance.
Topic 4, Northwind Electric CarsBackground
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.