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NEW QUESTION: 1
顧客がAmazon S3をデータストアとしてのみ使用するアプリケーションを作成しました。顧客がアプリケーションが情報を更新する速度を上げるまで、アプリケーションはうまく機能します。お客様は、アプリケーションがAmazon S3のオブジェクトにアクセスすると、古いデータがときどき表示されると報告しています。
それ以外の場合、アプリケーションロジックが正しいとすると、問題は何でしょうか。
A. アプリケーションは、一意のキーを持つ新しいオブジェクトを書き込むことにより、レコードを更新しています。
B. アプリケーションは、範囲ヘッダーを使用してAmazon S3からオブジェクトの一部を読み取ります。
C. アプリケーションは、並列オブジェクトリクエストを使用してAmazon S3からオブジェクトを読み取ります。
D. アプリケーションは、既存のオブジェクトを同じキーで上書きしてレコードを更新しています。
Answer: B

NEW QUESTION: 2
Get the list of pods of webapp deployment
A. // Get the label of the deployment
kubectl get deploy --show-labels
kubectl get pods -l app=webapp
B. // Get the label of the deployment
kubectl get deploy --show-labels
// Get the pods with that label
kubectl get pods -l app=webapp
Answer: B

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/