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NEW QUESTION: 1
A brand manager in a consumer food products organization suspected that several days of the point-of-sale data on the spreadsheet from one grocery chain were missing. The best approach for detecting missing rows in spreadsheet data would be to:
A. Compare product identification codes for consecutive periods.
B. Review store identification code and identify missing product identification codes.
C. Sort on product identification code and identify missing product identification codes.
D. Compare product identification codes by store for consecutive periods.
Answer: D
NEW QUESTION: 2
You have a Hyper-V host named Server1 that runs Windows Server 2016. Server1 has a virtual disk file named Disk1.vhdx that contains an installation of Windows Server 2016.
You create a virtual disk file named Disk2.vhdx that is configured as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
Answer:
Explanation:
Explanation
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およびStream2のAzureイベントハブ
B. Stream1用のAzure Cosmos DBおよびStream2用のAzureイベントハブ
C. Stream1のAzureイベントハブとStream2のAzure Blobストレージ
D. Stream1用のAzure BlobストレージとStream2用のAzure Cosmos DB
E. Stream1およびStream2のAzure Blobストレージ
Answer: C,E
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