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NEW QUESTION: 1
Which statement about SMS table spaces is correct?
A. SMS table spaces are recommended when you have small tables that are not likely to grow quickly.
B. Extents are more likely to be contiguous with SMS table spaces than they are with DMS table spaces.
C. The system catalog cannot be stored in an SMS table space.
D. Tables, large objects (LOBs), and indexes can each reside in separate SMS table spaces.
Answer: A

NEW QUESTION: 2
会社に対する攻撃が発生しました。
インストラクション
あなたは次のことを行うように命じられました：
攻撃者のタブレットをクリックして出力を確認することにより、ネットワークで発生している攻撃のタイプを識別します。 （回答領域1）正しいサーバーにドラッグして将来の攻撃の効果を減らすために、資産に実装する必要のある代替コントロールを特定します。 （回答領域2）すべてのオブジェクトが使用されますが、すべてのプレースホルダーが埋められるとは限りません。オブジェクトは一度だけ使用できます。
いつでもシミュレーションの初期状態に戻したい場合は、[すべてリセット]ボタンをクリックしてください。



Answer:
Explanation:

Explanation

NEW QUESTION: 3
次のAzure Stream Analyticsクエリがあります。

次の各文について、文が真の場合は「はい」を選択します。 それ以外の場合は、[いいえ]を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Yes
You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data.
The outcome is a stream that has the same partition scheme. Please see below for an example:
WITH step1 AS (SELECT * FROM [input1] PARTITION BY DeviceID INTO 10),
step2 AS (SELECT * FROM [input2] PARTITION BY DeviceID INTO 10)
SELECT * INTO [output] FROM step1 PARTITION BY DeviceID UNION step2 PARTITION BY DeviceID Note: The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement.
Box 2: Yes
When joining two streams of data explicitly repartitioned, these streams must have the same partition key and partition count.
Box 3: Yes
10 partitions x six SUs = 60 SUs is fine.
Note: Remember, Streaming Unit (SU) count, which is the unit of scale for Azure Stream Analytics, must be adjusted so the number of physical resources available to the job can fit the partitioned flow. In general, six SUs is a good number to assign to each partition. In case there are insufficient resources assigned to the job, the system will only apply the repartition if it benefits the job.
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/