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NEW QUESTION: 1


Answer:
Explanation:

Explanation

Box 1: Azure Machine Learning
Machine learning is a technique of data science that helps computers learn from existing data to forecast future behaviors, outcomes, and trends. Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
Box 2: Azure Cognitive Services
Add vision, speech, language and knowledge capabilities to your apps with artificial intelligence APIs from Cognitive Services.
References:
https://azure.microsoft.com/en-us/services/cognitive-services/
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-weather-forecast-machine-learning

NEW QUESTION: 2
Which of the following factors are related to the coverage range of the AP? (Multiple Choice)
A. Transmission loss
B. AP size
C. Antenna gain
D. AP transmit power
Answer: A,C,D

NEW QUESTION: 3
Which of the following objects deliver a default approval process? (3 correct answers)
A. Opportunity
B. Appointment
C. Ticket
D. Visit
E. Campaign
Answer: A,C,E

NEW QUESTION: 4
Amazon VPC에서 애플리케이션 서버를 위한 네트워크 인프라를 설계하고 있습니다. 사용자는 인터넷 및 온 프레미스 네트워크에서 모든 애플리케이션 인스턴스에 액세스합니다. 온 프레미스 네트워크는 AWS Direct Connect 링크를 통해 VPC에 연결됩니다.
이러한 요구 사항을 충족하기 위해 라우팅을 어떻게 설계해야 합니까?
A. 두 개의 기본 경로로 단일 라우팅 테이블을 구성합니다. 하나는 IGW를 통해 인터넷으로, 다른 하나는 VGW를 통해 온 프레미스 네트워크로. VPC의 모든 서브넷에서 이 라우팅 테이블을 사용하십시오.
B. IGW를 통해 기본 경로로 단일 라우팅 테이블을 구성합니다. AWS Direct Connect 고객 라우터에서 BGP를 통해 기본 경로를 전파합니다. 라우팅 테이블을 모든 VPC 서브넷과 연결합니다.
C. IGW를 통해 기본 경로로 단일 라우팅 테이블을 구성합니다. AWS Direct Connect 고객 라우터에서 BGP를 통해 온 프레미스 네트워크에 대한 특정 경로를 전파합니다. 라우팅 테이블을 모든 VPC 서브넷과 연결합니다.
D. IGW를 통한 기본 경로가 있는 라우팅 테이블과 VGW를 통한 기본 경로가 있는 두 개의 라우팅 테이블을 구성합니다. 두 라우팅 테이블을 각 VPC 서브넷에 연결합니다.
Answer: C