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NEW QUESTION: 1
Which statement BEST describes the value of service strategy to the business?
A. It allows higher volumes of successful change
B. It reduces the duration and frequency of service outages
C. It reduces unplanned costs through optimized handling of service outages
D. It enables the service provider to understand what levels of service will make their customers successful
Answer: D

NEW QUESTION: 2
CheckUserContent関数のバインディングを実装する必要があります。
コードセグメントをどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: [BlobTrigger(..)]
Box 2: [Blob(..)]
Azure Blob storage output binding for Azure Functions. The output binding allows you to modify and delete blob storage data in an Azure Function.
The attribute's constructor takes the path to the blob and a FileAccess parameter indicating read or write, as shown in the following example:
[FunctionName("ResizeImage")]
public static void Run(
[BlobTrigger("sample-images/{name}")] Stream image,
[Blob("sample-images-md/{name}", FileAccess.Write)] Stream imageSmall)
{
}
Scenario: You must create an Azure Function named CheckUserContent to perform the content checks.
The company's data science group built ContentAnalysisService which accepts user generated content as a string and returns a probable value for inappropriate content. Any values over a specific threshold must be reviewed by an employee of Contoso, Ltd.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-storage-blob-output

NEW QUESTION: 3
販売データを含むデータベースがあります。
Stream1およびStream2という名前の2つのデータストリームを使用して、販売データを処理する予定です。 Stream1は発注書データに使用されます。 Stream2は参照データに使用されます。
参照データはCSVファイルに保存されます。
データストリームごとに取り込みソリューションを推奨する必要があります。
どの2つのソリューションをお勧めしますか？それぞれの正解は完全なソリューションです。
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。
A. Stream1のAzureイベントハブとStream2のAzure Blobストレージ
B. Stream1用のAzure Cosmos DBおよびStream2用のAzureイベントハブ
C. Stream1用のAzure BlobストレージとStream2用のAzure Cosmos DB
D. Stream1およびStream2のAzure Blobストレージ
E. Stream1およびStream2のAzureイベントハブ
Answer: A,D
Explanation:
Explanation
Stream1 - Azure Event
Stream2 - Blob Storage
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. Event Hubs provides publishsubscribe capabilities with low latency at massive scale, which makes it appropriate for big data scenarios.
Stream1, Stream2 - Blob Storage
Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources:
Azure Event Hubs
Azure IoT Hub
Azure Blob storage
These input resources can live in the same Azure subscription as your Stream Analytics job or a different subscription.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/real-time-ingestion