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NEW QUESTION: 1
A CEO asks the IT administrator to provide a list of required resources to protect current workloads and the two new SQL servers from a disaster. The Nutanix environment is managed by Prism Central.
Which option explains how to meet the CEO's request?
A. In Capacity Runway, select Optimize Resources and select all VMs that must be protected.
B. Create a new scenario based on a new cluster based on a VM Profile and select Recommend.
C. Create a new Recovery policy by selecting the VM that needs to be protected and get hardware requirements.
D. Create a new project and assign the VMs to it to get compute and storage requirements.
Answer: C

NEW QUESTION: 2
このインターフェイス構成に基づいて、OSPF隣接の予想される状態はどうですか？

A. 2WAY/DROTHER on both routers
B. not established
C. Full on both routers
D. FULL/BDR on R1 and FULL/BDR on R2
Answer: B
Explanation:
Explanation
On Ethernet interfaces the OSPF hello intervl is 10 second by default so in this case there would be a Hello interval mismatch -> the OSPF adjacency would not be established.

NEW QUESTION: 3
In the network shown in the figure below, the router receives a data packet with a destination IP address of 11.0.12.1 from host A.
After this data packet is forwarded by the router, what are the destination MAC and destination IP?

A. MAC-B, 11.0.12.1
B. MAC-D, 11.0.12.1
C. MAC-C, 11.0.12.1
D. MAC-D, 10.0.12.2
Answer: B

NEW QUESTION: 4
ワイヤレスサービスを提供する会社は、ユーザーアクティビティに関するログファイルを保存および分析するためのソリューションを必要としています。現在、ログファイルはAmazonEC2インスタンス上のAmazonLinuxに毎日配信されます。バッチスクリプトは1日に1回実行され、サードパーティツールによる分析に使用されるデータを集約します。サードパーティツールにプッシュされたデータは、エンドユーザー向けの視覚化を生成するために使用されます。バッチスクリプトの保守は面倒であり、増え続けるデータ量をサードパーティのツールに配信するには数時間かかります。同社はコストを削減したいと考えており、開発の労力を最小限に抑え、管理オーバーヘッドを削減する新しいツールを検討する用意があります。同社は、最小限のオーバーヘッドでほぼリアルタイムで分析を保存および実行できる、より機敏なソリューションを構築したいと考えています。このソリューションは、企業のエンドユーザーベースの成長に対応するために、費用効果が高くスケーラブルである必要があります。
どのソリューションが会社の要件を満たしていますか？
A. Amazon EBSに最適化されたEC2インスタンスで実行されているインメモリキャッシュアプ​​リケーションを使用して、ほぼリアルタイムでログデータをキャプチャします。同じEC2インスタンスにAmazonESクラスターをインストールして、ほぼリアルタイムでAmazonEC2に配信されるログファイルを保存します。 Kibanaプラグインをインストールして、ビジュアライゼーションを作成します。
B. AutoScalingグループのEC2インスタンスで実行されているAmazonKinesisエージェントを使用して、データを収集し、Amazon Kinesis DataForehose配信ストリームに送信します。 Kinesis Data Firehose配信ストリームは、データをAmazonESに直接配信します。 Kibanaを使用してデータを視覚化します。
C. EC2インスタンスで実行されているAmazon Kinesisエージェントを使用して、データを収集し、Amazon Kinesis DataFirehose配信ストリームに送信します。 Kinesis Data Firehose配信ストリームは、AmazonS3にデータを配信します。 AWS Lambda関数を使用して、AmazonS3からAmazonESにデータを配信します。 Kibanaを使用してデータを視覚化します。
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html
D. Amazon EC2からのデータをリアルタイムで失敗させるPythonスクリプトを開発し、データをAmazonS3に保存します。 copyコマンドを使用して、AmazonS3からAmazonRedshiftにデータをコピーします。 AmazonEC2で実行されているビジネスインテリジェンスツールをAmazonRedshiftに接続し、ビジュアライゼーションを作成します。
Answer: B