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VMware 250-601 - Carbon Black Endpoint Detection and Response Technical Specialist Exam Braindumps

VMware 250-601 - Carbon Black Endpoint Detection and Response Technical Specialist Exam Braindumps

  • Certification Provider:VMware
  • Exam Code:250-601
  • Exam Name:Carbon Black Endpoint Detection and Response Technical Specialist Exam Exam
  • Total Questions:276 Questions and Answers
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NEW QUESTION: 1
A company is setting up a centralized logging solution on AWS and has several requirements. The company wants its Amazon CloudWatch Logs and VPC Flow logs to come from different sub accounts and to be delivered to a single auditing account. However, the number of sub accounts keeps changing. The company also needs to index the logs in the auditing account to gather actionable insight.
How should a DevOps Engineer implement the solution to meet all of the company's requirements?
A. Use Amazon Kinesis Firehose with Kinesis Data Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and stream logs from sub accounts to the Kinesis stream in the auditing account.
B. Use Amazon Kinesis Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Kinesis Data Streams in the sub accounts to stream the logs to the Kinesis stream in the auditing account.
C. Use AWS Lambda to write logs to Amazon ES in the auditing account. Create an Amazon CloudWatch subscription filter and use Amazon Kinesis Data Streams in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.
D. Use AWS Lambda to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Lambda in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.
Answer: A

NEW QUESTION: 2
You have an Azure subscription named Subscrption1 that is associated to an Azure Active Directory (Azure AD) tenant named AAD1.
Subscription1 contains the objects in the following table:

You plan to create a single backup policy for Vault1. To answer, select the appropriate options in the answer area.
NOTE:Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: RG1 only
Box 2: 99 years
With the latest update to Azure Backup, customers can retain their data for up to 99 years in Azure.
Note: A backup policy defines a matrix of when the data snapshots are taken, and how long those snapshots are retained.
The backup policy interface looks like this:

References:
https://docs.microsoft.com/en-us/azure/backup/backup-azure-vms-first-look-arm#defining-a-backup-policy
https://blogs.microsoft.com/firehose/2015/02/16/february-update-to-azure-backup-includes-data-retention-up-to-

NEW QUESTION: 3
サービスリクエストのライフサイクルに関する真の特徴はどれですか?
A. 必要に応じて、ユーザーはサービスリクエストの「クローズ」ステータスを手動で設定できます。
B. ステータスが「解決済み」に設定されている場合、ユーザーはサービスリクエストを再度開くことができます。
C. 「顧客作業」は5つのシードステータスタイプの1つです。
D. 「クローズ」ステータスは、指定された日数後に自動ジョブによって設定されます。
E. ステータスが「クローズ」に設定されている場合、ユーザーはサービスリクエストを再開できます。
Answer: B,D

NEW QUESTION: 4
メディア企業には、デジタルニュースビデオの30 TBのリポジトリがあります。これらのビデオは、オンプレミスのテープライブラリのテープに保存され、Media Asset Management(MAM)システムによって参照されます。会社は、これらのビデオのメタデータを自動化された方法で充実させ、MAM機能を使用して検索可能なカタログに入れたいと考えています。会社は、オブジェクト、風景アイテム、人の顔など、ビデオ内の情報に基づいて検索できる必要があります。各人物の画像を含むビデオに登場した人物の顔を含むカタログが利用可能です。会社はこれらのビデオをAWSに移行したいと考えています。
同社は、AWSとの高速AWS Direct Connect接続を使用しており、現在のファイルシステムからMAMソリューションのビデオコンテンツを直接移動したいと考えています。
最小量の継続的な管理オーバーヘッドを使用し、既存のシステムに最小限の混乱を引き起こすことにより、これらの要件をどのように満たすことができますか?
A. AWS Storage Gateway、オンプレミスのテープゲートウェイアプライアンスをセットアップします。 MAMソリューションを使用して、現在のアーカイブからビデオを抽出し、テープゲートウェイにプッシュします。顔のカタログを使用して、Amazon Rekognitionでコレクションを作成します。 Rekognition Javascript SDKを呼び出すAWS Lambda関数を作成して、Amazon Rekognitionがテープゲートウェイでビデオを処理し、必要なメタデータを取得し、メタデータをMAMソリューションにプッシュします。
B. AWS Storage Gateway、オンプレミスのファイルゲートウェイアプライアンスをセットアップします。 MAMソリューションを使用して、現在のアーカイブからビデオを抽出し、それらをファイルゲートウェイにプッシュします。顔のカタログを使用して、Amazon Rekognitionでコレクションを作成します。 RekognitionがファイルゲートウェイをバッキングするAmazon S3ファイルからビデオをプルし、必要なメタデータを取得し、メタデータをMAMソリューションにプッシュするように、Rekognition Javascript SDKを呼び出すAWS Lambda関数を作成します。
C. Amazon Kinesis Video Streamsを使用してビデオ取り込みストリームを構成します。顔のカタログを使用して、Amazon Rekognitionでコレクションを作成します。 MAMソリューションからのビデオをKinesis Video Streamsにストリーミングします。ストリーミングされた動画を処理するようにAmazon Rekognitionを構成します。次に、ストリームコンシューマを使用して必要なメタデータを取得し、メタデータをMAMソリューションにプッシュします。ビデオをAmazon S3に保存するようにストリームを構成します。
D. OpenCVライブラリを実行するAmazon EC2インスタンスをセットアップします。ビデオ、画像、および顔カタログをオンプレミスライブラリからこのEC2インスタンスにマウントされたAmazon EBSボリュームにコピーします。
ビデオを処理して必要なメタデータを取得し、メタデータをMAMソリューションにプッシュすると同時に、ビデオファイルをAmazon S3バケットにコピーします。
Answer: A

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