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NEW QUESTION: 1
Cisco IOS NetFlow gathers data that can be used in which three of these? (Choose three.)
A. network monitoring
B. authentication
C. accounting
D. network planning
E. authorization
Answer: A,C,D
Explanation:
NetFlow captures a rich set of traffic statistics. These traffic statistics include user, protocol, port, and type of service (ToS) information that can be used for a wide variety of purposes such as network application and user monitoring, network analysis and planning, security analysis, accounting and billing, traffic engineering, and NetFlow data warehousing and data mining.
Network Application and User Monitoring
NetFlow data enables you to view detailed, time- and application-based usage of a network. This information allows you to plan and allocate network and application resources, and provides for extensive near real-time network monitoring capabilities. It can be used to display traffic patterns and application-based views. NetFlow provides proactive problem detection and efficient troubleshooting, and it facilitates rapid problem resolution. You can use NetFlow information to efficiently allocate network resources and to detect and resolve potential security and policy violations.
Network Planning
NetFlow can capture data over a long period of time, which enables you to track and anticipate network growth and plan upgrades. NetFlow service data can be used to optimize network planning, which includes peering, backbone upgrade planning, and routing policy planning. It also enables you to minimize the total cost of network operations while maximizing network performance, capacity, and reliability. NetFlow detects unwanted WAN traffic, validates bandwidth and quality of service (QoS) usage, and enables the analysis of new network applications. NetFlow offers valuable information that you can use to reduce the cost of operating the network.
Denial of Service and Security Analysis
You can use NetFlow data to identify and classify denial of service (DoS) attacks, viruses, and worms in real-time. Changes in network behavior indicate anomalies that are clearly reflected in NetFlow data. The data is also a valuable forensic tool that you can use to understand and replay the history of security incidents.
Accounting and Billing
NetFlow data provides fine-grained metering for highly flexible and detailed resource utilization accounting. For example, flow data includes details such as IP addresses, packet and byte counts, timestamps, type-of-service, and application ports. Service providers might utilize the information for billing based on time-of-day, bandwidth usage, application usage, or quality of service. Enterprise customers might utilize the information for departmental chargeback or cost allocation for resource utilization.
Reference: http://www.cisco.com/c/en/us/td/docs/ios-xml/ios/netflow/configuration/12-4t/nf-12-4tbook/ios-netflow-ov.html
NEW QUESTION: 2
Which of these is not an agentless data source for AppTransaction Xpert?
A. WAN accelerator
B. Cisco NAM blade
C. AppResponse Xpert
D. F5 load balancer
Answer: C
NEW QUESTION: 3
ある企業では、オンプレミスのデータセンターに、毎月1週間に何千ものジョブを並行して実行し、ペタバイトの画像を処理する高性能コンピューティング（HPC）クラスターがあります。イメージは、災害復旧サイトに複製されたネットワークファイルサーバーに保存されます。オンプレミスのデータセンターは容量に達しており、クラスターをより有効に活用するために1か月にわたってジョブを分散させ始め、ジョブの完了を遅らせています。
同社はSolutions Architectに、現在の5,000コアと10ペタバイトのデータ容量を超える規模でAWS上で費用対効果の高いソリューションを設計するよう依頼しました。このソリューションでは、管理のオーバーヘッドを最小限に抑え、現在のレベルの耐久性を維持する必要があります。
どのソリューションが会社の要件を満たしますか？
A. Sparkを使用してAmazon S3からデータを取得するオンデマンドとリザーブドインスタンスタスクノードの組み合わせでAmazon EMRクラスターを作成します。 Amazon DynamoDBを使用して、Amazon EMRクラスターで処理する必要があるジョブのリストを管理します。
B. 生データをAmazon S3に保存し、AWS BatchとManaged Compute Environmentsを使用してSpot Fleetsを作成します。 AWS Batch Job Queuesにジョブを送信して、処理のためにAmazon S3からAmazon EBSボリュームにオブジェクトをプルダウンしてから、結果をAmazon S3に書き込みます。
C. 処理する必要があるジョブをキューに入れるために、処理するジョブのリストをAmazon SQSに送信します。 Spot Fleetを使用して、キューの深さに基づいて自動的に拡張される、多様なAmazon EC2ワーカーインスタンスのクラスターを作成します。 Amazon EFSを使用して、クラスター内のすべてのインスタンスで共有するすべてのデータを保存します。
D. Amazon Elastic Container Registryにジョブの実行可能ファイルを含むコンテナーを作成します。
Auto ScalingグループのSpot FleetでAmazon ECSを使用します。生データをAmazon EBS SC1ボリュームに保存し、その出力をAmazon S3に書き込みます。
Answer: C