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NEW QUESTION: 1
Your company has a private cloud that contains a System Center 2012 Service Manager infrastructure.
You need to create a service level objective (SLO) for incidents that have a priority value of
1.What should you create first?
A. A queue
B. A service template
C. A subscription
D. A service offering
Answer: A
NEW QUESTION: 2
HOTSPOT
You implement a callback function by using JavaScript.
You need to process the returned XML data.
How should you complete the relevant code? (To answer, select the appropriate option from each drop- down list in the answer area.)
Answer:
Explanation:
* Example:
httpRequest.onreadystatechange = function() {
// inline function to check the status
// of our request
// this is called on every state change
if (httpRequest.readyState === 4 &&
httpRequest.status === 200) {
callback.call(httpRequest.responseXML);
// call the callback function
}
};
// call the function
some_function2("text.xml", function() {
console.log(this);
});
Reference: understand callback functions in Javascript
NEW QUESTION: 3
Which prefix is matched by the command ip prefix-list name permit 10.8.0.0/16 ge 24 le 24?
A. 10.8.0.0/23
B. 10.8.0.0/24
C. 10.9.1.0/24
D. 10.8.0.0/16
Answer: B
Explanation:
Explanation/Reference:
Explanation:
With prefix lists, the ge 24 term means greater than or equal to a /24 and the le 24 means less than or equal to /24, so only a /24 is both greater than or equal to 24 and less than or equal to 24. This translate to any prefix in the 10.8.x.0/24 network, where X is any value in the 0-255 range.
Only the choice of 10.8.0.0.24 matches this.
NEW QUESTION: 4
写真共有および出版会社は、毎日10,000〜150,000枚の画像を受け取ります。会社は、サービスに登録されている複数のサプライヤーとユーザーから画像を受け取ります。会社はAWSに移行しており、Amazon Rekognitionを使用してデータを追加することにより、既存のメタデータを充実させたいと考えています。
以下は追加データの例です。
クラウド移行プログラムの一環として、同社は既存の画像データをAmazon S3にアップロードし、ユーザーに画像を直接Amazon S3にアップロードするように指示しました。
これらの要件をサポートするために、ソリューションアーキテクトは何をすべきですか？
A. S3イベント通知に基づいてAWS Lambdaをトリガーし、Amazon Rekognitionを使用して追加のメタデータを作成します。 Amazon RDS MySQL Multi-AZを使用してメタデータ情報を保存し、Lambdaを使用してインデックスを作成します。 Lambdaがサポートする検索機能を備えたWebフロントエンドを使用します。
B. S3イベント通知に基づいてAWS Lambdaをトリガーし、Amazon Rekognitionを使用して追加のメタデータを作成します。 Amazon DynamoDBを使用してメタデータを保存し、Amazon ESを使用してインデックスを作成します。ウェブフロントエンドを使用して、Amazon ESがサポートする検索機能を提供します。
C. Amazon Kinesisを使用して、S3イベントに基づいてデータをストリーミングします。 Amazon EC2で実行されているアプリケーションを使用して、画像からメタデータを抽出します。次に、データをAmazon DynamoDBおよびAmazon CloudSearchに保存し、インデックスを作成します。 CloudSearchがサポートする検索機能を備えたWebフロントエンドを使用します。
D. S3イベント通知に基づいてAmazon SQSキューを開始します。次に、Amazon SQSからメタデータ情報をAmazon DynamoDBに送信します。 Amazon EC2で実行されているアプリケーションは、APIを使用してAmazon Rekognitionからデータを抽出し、DynamoDBおよびAmazon ESにデータを追加します。ウェブフロントエンドを使用して、Amazon ESがサポートする検索機能を提供します。
Answer: B
Explanation:
https://github.com/aws-samples/lambda-refarch-imagerecognition