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NEW QUESTION: 1
A company has 30 sites and wants allow dynamic IGP protocol, multicast and non IP traffic between sites.
Which topology should the company implement?
A. dmvpn spoke-to-spoke
B. vti
C. dmvpn hub-to-spoke
D. p2p gre
Answer: D

NEW QUESTION: 2
DevOpsエンジニアは、スケーラブルな3層Node.jsアプリケーションをAWSにデプロイする必要があります。アプリケーションは、展開中のダウンタイムがゼロで、以前のバージョンにロールバックできる必要があります。他のアプリケーションも同じMySQLバックエンドデータベースに接続します。
CIOは、ロギングに関する次のガイダンスを提供しています。
*現在のすべてのWebアクセスサーバーログを一元的に表示します。
* Webおよびアプリケーションログをほぼリアルタイムで検索およびフィルタリングします。
*ログデータを3か月間保持します。
これらの要件はどのように満たされるべきですか？
A. アプリケーションをAmazon EC2にデプロイします。 Elastic Load BalancingおよびAuto Scalingを構成します。データベース層にAmazon RDS MySQLインスタンスを使用します。 Amazon Kinesis Data Firehouseを使用してストリーミングログデータをAmazon ESにロードするようにアプリケーションを構成します。 90日ごとに新しいAmazon ESドメインを削除して作成します。
B. AWS Elastic Beanstalkを使用してアプリケーションをデプロイします。 Elastic Load BalancingおよびAuto Scalingの環境タイプを設定します。 Elastic Beanstalkスタックの外側にAmazon RDS MySQLインスタンスを作成します。ログをAmazon CloudWatch LogsにストリーミングするようにElastic Beanstalkログオプションを設定します。保持を90日に設定します。
C. アプリケーションをAmazon EC2にデプロイします。 Elastic Load BalancingおよびAuto Scalingを構成します。データベース層にAmazon RDS MySQLインスタンスを使用します。 Amazon S3にログファイルを保存するようにアプリケーションを構成します。 Amazon EMRを使用して、データを検索およびフィルターします。 Amazon S3ライフサイクルルールを設定して、90日後にオブジェクトを期限切れにします。
D. AWS Elastic Beanstalkを使用してアプリケーションをデプロイします。 Elastic Load BalancingおよびAuto Scalingの環境タイプを設定します。 Elastic Beanstalkスタック内にAmazon RDS MySQLインスタンスを作成します。ログをAmazon CloudWatch LogsにストリーミングするようにElastic Beanstalkログオプションを設定します。保持を90日に設定します。
Answer: D

NEW QUESTION: 3
You need to select a feature extraction method.
Which method should you use?
A. Permutation Feature Importance
B. Mood's median test
C. Kendall correlation
D. Mutual information
Answer: C
Explanation:
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter), is a statistic used to measure the ordinal association between two measured quantities.
It is a supported method of the Azure Machine Learning Feature selection.
Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules

NEW QUESTION: 4
DRAG DROP
You are managing a SharePoint search topology.
An external identity management system handles all user authentication.
SharePoint is not indexing some subdirectories of a public SharePoint site.
You need to ensure that SharePoint indexes the specific subdirectories.
Which three actions should you perform in sequence? (To answer, move the appropriate
actions from the list of actions to the answer area and arrange them in the correct order.)

Answer:
Explanation:

Explanation:
1. Create crawl rule that includes subdirectory path.2. include all items in the path3. Specify a content access account