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NEW QUESTION: 1
A corporate environment includes an on-premise deployment of Exchange Server 2010 SP1 and an Active
Directory Domain Services (AD DS) domain.
The company plans to move some users to a cloud-based Exchange Server 2010 SP1 environment.
The migration process must meet the following requirements:
-Integrate the on-premise environment with the cloud-based environment.
-Migrate all existing mailbox items.
-Authenticate all users by using their AD DS credentials.
-Share calendar availability information among all users.
You need to recommend a tool for gathering information and verifying that the requirements can be met.
Which tool should you recommend?
A. Exchange Pre-Deployment Analyzer
B. Exchange Deployment Assistant
C. Exchange Remote Connectivity Analyzer
D. Exchange Best Practices Analyzer
Answer: B
Explanation:

NEW QUESTION: 2
A company has an application running on Amazon EC2 instances in a private subnet that connects to a third-party service provider's public HTTP endpoint through a NAT gateway. As request rates increase, new connections are starting to fail. At the same time, the ErrorPortAllocation Amazon CloudWatch metric count for the NAT gateway is increasing.
Which of the following actions should improve the connectivity issues? (Choose two.)
A. Allocate additional elastic IP addresses to the NAT gateway.
B. Create additional NAT gateways in the public subnet and split client instances into multiple private subnets, each with a route to a different NAT gateway.
C. Request that the third-party service provider implement HTTP keepalive.
D. Create additional NAT gateways and update the private subnet route table to introduce the new NAT gateways.
E. Implement TCP keepalive on the client instances.
Answer: B,E

NEW QUESTION: 3
緊急道路対応車両が自動的に発送されるようにする必要があります。
処理システムをどのように設計する必要がありますか？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：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box1: API App

* Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a stream of messages. HDInsight Kafka stores streams of data in topics for a configurable of time.
* Kafka consumer, Azure Databricks, picks up the message in real time from the Kafka topic, to process the data based on the business logic and can then send to Serving layer for storage.
* Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a data source for presentation and action layer.
* Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the serving layer as well. For example, we can expose APIs based on the service layer data for third party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns, as shown in the following image:

References:
https://docs.microsoft.com/bs-cyrl-ba/azure/architecture/example-scenario/data/realtime-analytics-vehicle-iot?vie