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NEW QUESTION: 1
モバイルゲーム会社は、AmazonEC2インスタンスでアプリケーションサーバーを実行しています。サーバーは、15分ごとにプレーヤーから更新を受信します。モバイルゲームは、最後の更新以降にゲームで行われた進行状況のJSONオブジェクトを作成し、JSONオブジェクトにApplication LoadBalacerを送信します。
モバイルゲームをプレイすると、ゲームのアップデートが失われます。同社は、更新を順番に取得するための永続的な方法を作成したいと考えています。
ソリューションアーキテクトは、システムを分離するために何を推奨する必要がありますか？
A. Amazon Kinesis Dataストリームを使用してデータをキャプチャし、JSONオブジェクトをAmazonS3に保存します。
B. Amazon Simple Notification Service（Amazon SNS）を使用してデータをキャプチャし、EC2インスタンスを使用してApplication LoadBalancerに送信されたメッセージを処理します。
C. Amazon Kinesis Data Firehouseを使用してデータをキャプチャし、JSONオブジェクトをAmzonS3に保存します
D. Amazon Simple Queue Service（Amzon SQS）FIFOキューを使用してデータをキャプチャし、EC2インスタンスを使用してキュー内のメッセージを処理します。
Answer: D
NEW QUESTION: 2
「Exhibit」ボタンを押して、「Transformation SourceXMLDocument」を表示および変換します。 「XSLTスタイルシート」の（1）に属するものを正しく説明している回答を選択して、「変換後のXMLドキュメント」を導き出します。
[XSLTスタイルシート]
<xsl：stylesheet version = "1。0" xmlns：xsl = "http：//www。w3。org/ 1999 / xsl / Transform"> <xsl：template match = "/">
<商品>
<xsl：apply-templates select = "（1）__________" />
</ product>
</ xsl：template>
<xsl：template match = "name">
<xsl：value-of select = "。" />
</ xsl：template>
</ xsl：stylesheet>
A. //名前
B. / name
C. / productW Courier Newlr Z
D. 製品/名前
Answer: A,D
NEW QUESTION: 3
A. From DNS Manager, configure Event Logging.
B. From Local Group Policy Editor, configure Audit Policy.
C. From Windows PowerShell, run the Enable-DnsServerPolicy cmdlet.
D. From DNS Manager, configure Monitoring.
E. From Event Viewer, configure DNS-Server Applications and Services Logs.
Answer: E
Explanation:
Explanation
References:
https://www.yourdigitalmind.com/tutorials/how-to-enable-dns-logging-and-diagnostics-in-windows-server-2012
NEW QUESTION: 4
You have the following Azure Stream Analytics query.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
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
Streaming Units (SUs) represents the computing resources that are allocated to execute a Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job.
In general, the best practice is to start with 6 SUs for queries that don't use PARTITION BY.
Here there are 10 partitions, so 6x10 = 60 SUs is good.
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/
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption