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NEW QUESTION: 1
Which of these are valid load balancing algorithms on the Stingray Traffic Manager (STM)? (Select 3)
A. Perceptive
B. Weighted Round Robin
C. Least Recently Used
D. First-in, First-out
E. Fastest Response Time
Answer: A,B,E
NEW QUESTION: 2
Which of the following should be considered to mitigate data theft when using CAT5 wiring?
A. Multimode fiber
B. CCTV
C. Environmental monitoring
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 Table storage
B. Azure Notification Hubs
C. A single SQL database in Azure
D. Azure Queue storage
Answer: A
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