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NEW QUESTION: 1
Which of these are valid load balancing algorithms on the Stingray Traffic Manager (STM)? (Select 3)
A. Least Recently Used
B. Perceptive
C. Fastest Response Time
D. Weighted Round Robin
E. First-in, First-out
Answer: B,C,D

NEW QUESTION: 2
Which of the following should be considered to mitigate data theft when using CAT5 wiring?
A. Environmental monitoring
B. Multimode fiber
C. CCTV
D. EMI shielding
Answer: D
Explanation:
EMI Shielding refers to the process of preventing electronic emissions from your computer systems from being used to gather intelligence and preventing outside electronic emissions from disrupting your information-processing abilities. Thus all wiring should be shielded to mitigate data theft.

NEW QUESTION: 3
正しいテキスト
新しい時間トリガー（「時間依存のワークフローアクション」の一部である「ルールトリガー日の3時間後」など）をワークフロールールに追加できない場合、「時間トリガーの追加」ボタンを使用します。
Answer:
Explanation:
ワークフロールールがアクティブな場合
そのワークフロールールの既存のタイムトリガーのいずれかで実行するためのタイムベースのワークフローアクションが保留中の場合（タイムトリガー保留のフィールド更新ワークフローアクションは「ルールトリガー日の1時間後」など）。 そのため、ワークフロールールを無効にしても十分ではありません。 時間ベースのワークフローアクションが保留中のレコードを削除すると（可能な場合）、[Add Time Trigger]ボタンが再びアクティブになります。 c。 ワークフロールールを実行する場合

NEW QUESTION: 4
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