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NEW QUESTION: 1
Drag and drop the characteristics from the left onto the correct storage systems on the right.

Answer:
Explanation:

Explanation

2,4,5 - NAS 1,3 - SAN

NEW QUESTION: 2
企業は、フィールドエンジニアがさまざまな程度の複雑さでいくつかのタスクを実行できるようにするために、一連のモバイルアプリケーションを作成する必要があります。
各オプションをその答えに一致させます。
手順：回答するには、適切なアプリの種類を左側の列から右側の定義にドラッグします。各アプリタイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。
注：正しい一致はそれぞれ1ポイントの価値があります。


Answer:
Explanation:

Explanation:
Box 1: canvas
Both model-driven and canvas apps allow you to easily build business apps. They both share access to the Common Data Service providing standard and custom entities. Canvas apps start with your user experience, crafting a highly tailored interface with the power of a blank canvas and connecting it to 200 data sources. Canvas apps can be built for web, mobile, and tablet applications. Model-driven apps start with your data model - building up from the shape of your core business data and processes in the Common Data Service to model forms, views, and other components. Model-driven apps automatically generate great UI that is responsive across devices.
Box 2: model-driven
Reference:
https://powerapps.microsoft.com/sv-se/blog/introducing-model-driven-apps/

NEW QUESTION: 3
You are planning a design pattern based on the Lambda architecture as shown in the exhibit.

Which Azure service should you use for the hot path?
A. Azure Data Factory
B. Azure Databricks
C. Azure SQL Database
D. Azure Database for PostgreSQL
Answer: B
Explanation:
Explanation
In Azure, all of the following data stores will meet the core requirements supporting real-time processing:
* Apache Spark in Azure Databricks
* Azure Stream Analytics
* HDInsight with Spark Streaming
* HDInsight with Storm
* Azure Functions
* Azure App Service WebJobs
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.

References:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-l
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/stream-processing