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NEW QUESTION: 1
Which two statements are true regarding integrations between OFSC and DBaaS?
A. DBaaS integration enables OFSC to act as a system of record for activity data.
B. Customers with a BICS instance can use DBaaS as a data source for data migration to extend the current BICS data limit.
C. Integration supports the transfer of OFSC data directly into DBaaS either in bulk once per day or automatically in real-time.
D. Integration enables automatic bulk import of DBaaS data directly into OFSC as part of the Daily Upload file.
Answer: B,C

NEW QUESTION: 2
キャンバスアプリを作成しています。
ユーザーは、Power Appsアプリの各画面のボタンをクリックして、次の画面に進みます。
ユーザーに表示される次の画面を選択するアクションを実装する必要があります。
どのイベントを処理する必要がありますか？
A. OnSelect
B. ScreenTransition
C. OnCheck
D. OnLoad
Answer: D

NEW QUESTION: 3
At a project kickoff meeting, several team members acted unprofessionally. The project manager would like to set expectations for team interaction. Which of the following would BEST accomplish this?
A. MOU
B. Team contract
C. Corrective action plan
D. User acceptance policy
E. SLA
Answer: B

NEW QUESTION: 4
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