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NEW QUESTION: 1
An optical drive is owned by a VIO Server and shared between multiple IBM i partitions as virtual optical devices.
An administrator wants to use the virtual optical device on an IBM i partition, but WRKHDWRSC *STG shows that the virtual IOP is "Inoperative."
After verifying that the device is correctly allocated to the partition, what action should be taken?
A. Vary off the device on the partition which is currently using the optical drive.
B. On the HMC, select the vSCSI adapter and, under the Advanced option, select the option to Recover the Adapter.
C. On the HMC, modify the host partition profile so that the vSCSI adapter is configured for "Any client partition can connect".
D. In SST, IPL the virtual IOP and vary on the device
Answer: D

NEW QUESTION: 2
SAP S / 4HANA Salesでは、在庫プロセスからの販売のどのステップがオプションですか?この質問には2つの正解があります。
A. 運賃の計算
B. 受注の作成
C. 販売見積の作成
D. 配信を作成します
Answer: A,C

NEW QUESTION: 3
You have a database that contains sales data.
You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data.
The reference data is stored in CSV files.
You need to recommend an ingestion solution for each data stream.
What two solutions should you recommend? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
A. an Azure event hub for Stream1 and Azure Blob storage for Stream2
B. Azure Blob storage for Stream1 and Stream2
C. Azure Blob storage for Stream1 and Azure Cosmos DB for Stream2
D. an Azure event hub for Stream1 and Stream2
E. Azure Cosmos DB for Stream1 and an Azure event hub for Stream2
Answer: A,B
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