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NEW QUESTION: 1
Which two options are advantages when using NPIV? (Choose two.)
A. NPV-enabled physical N-Port can subsequently issue additional commands to register more WWPNs and receive more N-Port IDs (one for each WWPN).
B. NPIV-enabled physical N-Port can subsequently issue additional commands to register more WWPNs and receive more N-Port IDs (one for each WWPN).
C. allows 'multiple' single physical N-Port to have multiple WWPNs, and therefore multiple
N-Port IDs, associated with it
D. N-Port on the physical host would have only a single WWPN (and N-Port ID).
E. allows a single physical N-Port to have single WWPNs, and therefore single N-Port IDs, associated with it
F. allows a 'single' physical N-Port to have multiple WWPNs, and therefore multiple N-Port
IDs, associated with it
Answer: B,F
NEW QUESTION: 2
以下の各ステートメントについて、そのステートメントが正しい場合は「はい」を選択してください。そうでなければ、いいえを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
NEW QUESTION: 3
You are designing an Azure application that stores data.
You have the following requirements:
* The data storage system must support storing more than 500 GB of data.
* Data retrieval must be possible from a large number of parallel threads.
* Threads must not block each other.
You need to recommend an approach for storing data.
What should you recommend?
A. Azure Queue storage
B. Azure Notification Hubs
C. Azure Table storage
D. A single SQL database in Azure
Answer: C
Explanation:
* Azure Table Storage can be useful for applications that must store large amounts of nonrelational data, and need additional structure for that data. Tables offer key-based access to unschematized data at a low cost for applications with simplified data-access patterns. While Azure Table Storage stores structured data without schemas, it does not provide any way to represent relationships between the data.
* As a solution architect/developer, consider using Azure Table Storage when:
/ Your application stores and retrieves large data sets and does not have complex relationships that require server-side joins, secondary indexes, or complex server-side logic.
/ You need to achieve a high level of scaling without having to manually shard your dataset.
References: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx