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NEW QUESTION: 1

A. Capacity Management
B. Service Level Management
C. Configuration Management
D. Availability Management
Answer: A

NEW QUESTION: 2
You need to develop a pipeline for processing dat
a. The pipeline must meet the following requirements.
* Scale up and down resources for cost reduction.
* Use an in-memory data processing engine to speed up ETL and machine learning operations.
* Use streaming capabilities.
* Provide the ability to code in SQL, Python, Scala, and R.
* Integrate workspace collaboration with Git.
What should you use?
A. HDInsight Spark Cluster
B. Azure SQL Data Warehouse
C. HDInsight Hadoop Cluster
D. Azure Stream Analytics
Answer: A
Explanation:
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
You can create an HDInsight Spark cluster using an Azure Resource Manager template. The template can be found in GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing

NEW QUESTION: 3
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。同社は、サービスに登録されている複数のサプライヤーやユーザーから画像を受け取ります。同社はAWSに移行しており、AmazonRekognitionを使用してデータを追加することで既存のメタデータを強化し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AmazonS3に直接アップロードするように指示しました。
ソリューションアーキテクトは、これらの要件をサポートするために何をすべきですか？
A. S3イベント通知に基づいてAWS Lambdaをトリガーし、AmazonRekognition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、AmazonESを使用してインデックスを作成します。 Webフロントエンドを使用して、AmazonESに裏打ちされた検索機能を提供します。
B. 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、AmazonDynamoDBとAmazonCloudSearchにデータを保存し、インデックスを作成します。 CloudSearchに裏打ちされた検索機能を備えたWebフロントエンドを使用します。
C. S3イベント通知に基づいてAWS Lambdaをトリガーし、AmazonRekognition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。
D. S3イベント通知に基づいてAmazonSQSキューを開始します。次に、AmazonSQSにメタデータ情報をAmazonDynamoDBに送信させます。 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とAmazonESにデータを追加します。 Webフロントエンドを使用して、AmazonESに裏打ちされた検索機能を提供します。
Answer: A
Explanation:
Explanation
https://github.com/aws-samples/lambda-refarch-imagerecognition

NEW QUESTION: 4

You are planning the migration of research.contoso.com. You need to identify which tools must be used to perform the migration.
Which tools should you identify?
A. Active Directory Migration Tool version 3.2 (ADMT v3.2) and Active Directory Federation Services (AD FS)
B. Active Directory Lightweight Directory Services (AD LDS) and Group Policy Management Console (GPMC)
C. Active Directory Migration Tool version 3.2 (ADMT v3.2) and Group Policy Management Console (GPMC)
D. Active Directory Federation Services (AD FS) and Microsoft Federation Gateway
Answer: C