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Avaya IP Office™ Platform Implement Online Test
- Exam Number/Code : 77202T
- Exam Name : Avaya IP Office™ Platform Implement Online Test
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
What is a characteristic of POWER9 processor-based virtualized environments?
A. Processors are assigned per whole core.
B. Greater virtualization reduces workload costs.
C. Greater virtualization increases the cost of computing.
D. Resources must be dedicated at the PCIe card level.
Answer: B
NEW QUESTION: 2
Visual Workflowのユースケースはどれですか? 3つの答えを選んでください
A. エージェントのクロスセルプロモーション
B. エージェントの決定ベースのトラブルシューティング
C. 件名に基づくケースキューへの電子メールの割り当て
D. ケース作成中のフィールド検証
E. 発信者の確認と新しいケースの作成
Answer: A,B,E
NEW QUESTION: 3
Your company has a main office in London and a branch office in Seattle. The offices connect to each other by using a WAN link.
In the London office, you have a Distributed File System (DFS) server named FS1 that contains a folder named Folder1.
In the Seattle office, you have a DFS server named FS2.
All servers run Windows Server 2016.
You configure replication of Folder1 to FS2.
Users in both offices frequently add files in Folder1.
You monitor DFS Replication, and you discover excessive replication over the WAN link during business hours.
You need to reduce the amount of bandwidth used for replication during business hours. The solution must ensure that the users can continue to save content to Folder1.
What should you do?
A. Modify the properties of the replication group.
B. Configure the copy of Folder1 on FS2 as read-only.
C. Modify the replicated folder properties of Folder1 on FS1.
D. Modify the quota settings on Folder1 on FS2.
Answer: A
NEW QUESTION: 4
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