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NEW QUESTION: 1
タイプに関する仮想マシンのIPおよびMAC割り当て要件を説明するステートメント
1ハイパーバイザー？
A. 各仮想マシンには一意のIPアドレスが必要ですが、MACアドレスは物理サーバーのアドレスと共有されます。
B. 各仮想マシンが他のノードに到達できるようにするには、一意のIPアドレスとMACアドレスが必要です。
C. 各仮想マシンには一意のIPアドレスが必要ですが、MACアドレスを物理サーバーと共有します
D. 各仮想マシンには一意のMACアドレスが必要ですが、物理サーバーとIPアドレスを共有します。
Answer: B
Explanation:
Explanation
A virtual machine (VM) is a software emulation of a physical server with an operating system.
From an application's point of view, the VM provides the look
and feel of a real physical server, including all its components, such as CPU, memory, and network interface cards (NICs).
The virtualization software that creates VMs and performs the hardware abstraction that allows multiple VMs to run concurrently is known as a hypervisor.
There are two types of hypervisors: type 1 and type 2 hypervisor.
In type 1 hypervisor (or native hypervisor), the hypervisor is installed directly on the physical server. Then instances of an operating system (OS) are installed on the hypervisor. Type 1 hypervisor has direct access to the hardware resources. Therefore they are more efficient than hosted architectures. Some examples of type 1 hypervisor are VMware vSphere/ESXi, Oracle VM Server, KVM and Microsoft Hyper-V.
In contrast to type 1 hypervisor, a type 2 hypervisor (or hosted hypervisor) runs on top of an operating system and not the physical hardware directly. answer 'Each virtual machine requires a unique IP and MAC addresses to be able to reach to other nodes' big advantage of Type 2 hypervisors is that management console software is not required. Examples of type 2 hypervisor are VMware Workstation (which can run on Windows, Mac and Linux) or Microsoft Virtual PC (only runs on Windows).
NEW QUESTION: 2
You are developing a website that helps users locate restaurants in their area from a browser. You created a function named findRestaurants().
The function must:
Get the current latitude and longitude of the user's device
Pass the user's location to findRestaurants()
You must ensure that the application accesses the geolocation information from the device before searching for restaurants.
Which code segment should you use?
A. Option C
B. Option A
C. Option B
D. Option D
Answer: C
Explanation:
Explanation/Reference:
References:
https://developer.mozilla.org/en-US/docs/Web/API/Geolocation/getCurrentPosition
NEW QUESTION: 3
소매 업체에서 기계 학습을 사용하여 신제품을 분류하려고 합니다. 현재 제품의 레이블이 지정된 데이터 세트가 데이터 과학 팀에 제공되었습니다. 데이터 세트에 1,200 개의 제품이 포함되어 있습니다.
제목 크기, 무게 및 가격과 같은 각 제품에 대한 15 가지 기능 각 제품에는 서적, 게임, 전자 제품 및 영화와 같은 6 가지 범주 중 하나에 속하는 것으로 표시되어 있습니다.
교육을 위해 제공된 데이터 세트를 사용하여 신제품을 분류하기 위해 어떤 모델을 사용해야 합니까?
A. objective 매개 변수가 multi로 설정된 XGBoost 모델 : softmax
B. 마지막 계층에 대해 softmax 활성화 기능이 있는 심층 컨볼 루션 신경망 (CNN)
C. RNN (Recurrent Neural Network) 기반의 DeepAR 예측 모델
D. 트리 수가 제품 범주 수와 동일하게 설정된 회귀 포리스트
Answer: A
Explanation:
A XGBoost multi class classification.
https://medium.com/@gabrielziegler3/multiclass-multilabel-classification-with-xgboost-
66195e4d9f2d
CNN is used for image classificaiton problems.