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NEW QUESTION: 1
A customer is considering implementing Nova link for critical Enterprise workloads.
Where will Nova link run?
A. In a separate Linux partition.
B. On the HMC.
C. As a job in each dual VIOS.
D. As an appliance connected to the FSP
Answer: C
Explanation:
Explanation/Reference:
Reference https://www.ibm.com/developerworks/community/wikis/home?lang=en#!/wiki/Power%
20Systems/page/Introducing%20PowerVM%20NovaLink

NEW QUESTION: 2
開発者は、PaymentProcessorインターフェイスで支払い用に定義されたものに準拠する小切手処理支払い機能を提供するCheckPaymentProcessorクラスを実装する必要があります。パブリックインターフェイスPaymentProcessor {void pay（Decimal amount）; PaymentProcessorインターフェースクラスを使用するための正しい実装はどれですか？
A. パブリッククラスCheckPaymentProcessorはPaymentProcessorを拡張します{
public void pay（Decimal amount）;
}
B. パブリッククラスCheckPaymentProcessorはPaymentProcessorを実装します{
public void pay（Decimal amount）;
}
C. パブリッククラスCheckPaymentProcessorはPaymentProcessorを拡張します{
public void pay（Decimal amount）{}
}
D. パブリッククラスCheckPaymentProcessorはPaymentProcessorを実装します{
public void pay（Decimal amount）{}
}
Answer: D

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 Table storage
B. Azure Queue storage
C. A single SQL database in Azure
D. Azure Notification Hubs
Answer: A
Explanation:
Explanation/Reference:
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:
a) 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.
b) You need to achieve a high level of scaling without having to manually shard your dataset. Azure Table Storage and Windows Azure SQL Database - Compared and Contrasted References: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx