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Amazon MLS-C01 - AWS Certified Machine Learning - Specialty Exam Braindumps

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  • Exam Name:AWS Certified Machine Learning - Specialty Exam Exam
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NEW QUESTION: 1
You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.
You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements:
Alert teachers if a student seems angry or distracted.
Identify each student in the classrooms for attendance purposes.
Allow the teachers to log the text of conversations between themselves and the students.
Which Cognitive Services should you recommend?
A. Computer Vision, Speech to Text, and Text Analytics
B. Text Analytics, QnA Maker, and Computer Vision
C. Video Indexer, Speech to Text, and Face API
D. Computer Vision, Text Analytics, and Face API
E. Video Indexer, Face API, and Text Analytics
Answer: C
Explanation:
Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models.
Face API enables you to search, identify, and match faces in your private repository of up to 1 million people.
The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise.
These emotions are understood to be cross-culturally and universally communicated with particular facial expressions.
Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. This service is powered by the same recognition technology that Microsoft uses for Cortana and Office products, and works seamlessly with the translation and text-to- speech.
Incorrect Answers:
Computer Vision or the QnA is not required.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text

NEW QUESTION: 2
In an xinetd configuration file, which attribute specifies the network address that will be used to provide the service?
Answer:
Explanation:
bind, interface

NEW QUESTION: 3
オンプレミスのデータセンターとAzureサブスクリプションがあります。データセンターには2つのVPNデバイスが含まれています。
サブスクリプションには、VNet1という名前のAzure仮想ネットワークが含まれています。 VNet1にはゲートウェイサブネットが含まれています。
サイト間VPNを作成する必要があります。ソリューションでは、Azure VPNゲートウェイの単一インスタンスに障害が発生するか、単一のオンプレミスVPNデバイスに障害が発生しても、障害が2分を超える中断を引き起こさないようにする必要があります。
Azureに必要なパブリックIPアドレス、仮想ネットワークゲートウェイ、およびローカルネットワークゲートウェイの最小数はいくつですか?回答するには、回答エリアで適切なオプションを選択します。
注:各正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: 4
Two public IP addresses in the on-premises data center, and two public IP addresses in the VNET.
The most reliable option is to combine the active-active gateways on both your network and Azure, as shown in the diagram below.

Box 2: 2
Every Azure VPN gateway consists of two instances in an active-standby configuration. For any planned maintenance or unplanned disruption that happens to the active instance, the standby instance would take over (failover) automatically, and resume the S2S VPN or VNet-to-VNet connections.
Box 3: 2
Dual-redundancy: active-active VPN gateways for both Azure and on-premises networks References:
https://docs.microsoft.com/en-us/azure/vpn-gateway/vpn-gateway-highlyavailable

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