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NEW QUESTION: 1
管理する.NETアプリケーションがElasticBeanstalkで実行されています。
開発者は、発生する問題をデバッグするためにアプリケーションログファイルにアクセスする必要があると言っています。
インフラストラクチャはスケールアップおよびスケールダウンします。
開発者がログファイルにのみアクセスできるようにするにはどうすればよいですか？
A. アプリケーションのweb.configファイルでログファイルのローテーションを有効にするように開発者に依頼します
B. ElasticBeanstalk構成内でS3へのログファイルローテーションを有効にする
C. Elastic Beanstalkによって起動された各インスタンスに接続し、ログファイルをS3にローテーションするWindowsスケジュールタスクを作成します。
D. ElasticBeanstalkから直接ログファイルにアクセスします
Answer: B
Explanation:
The EC2 instances in your Elastic Beanstalk environment generate logs that you can view to troubleshoot issues with your application or configuration files. Logs created by the web server, application server, Elastic Beanstalk platform scripts, and AWS CloudFormation are stored locally on individual instances and can be easily retrieved with the environment management console or the EB CLI. You can also enable log rotation to Amazon S3.
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.logging.html
NEW QUESTION: 2
Sales、Customer、Date、Productという名前の4つのテーブルを含むスタースキーマに販売データがあります。
Salesテーブルには、購入日と出荷日が含まれています。
ほとんどの場合、購入日を使用してデータを分析しますが、両方の日付で個別に、または一緒にデータを分析します。
分析をサポートするには、インポートされたデータセットを設計する必要があります。このソリューションでは、モデルのサイズとデータソースに対するクエリの数を最小限に抑える必要があります。
どのデータモデリング設計を使用する必要がありますか？
A. 購入日の販売と日付の間にアクティブな関係を作成し、出荷日の非アクティブな関係を作成します。
B. Microsoft Power BIの自動日付/時刻機能を使用し、日付テーブルをインポートしないでください。
C. Power Queryで日付クエリを複製し、両方の日付テーブル間でアクティブな関係を使用します。
D. Dateテーブルで、Power Queryの参照クエリを使用し、モデリングビューでSalesと両方のDateテーブルの間にアクティブな関係を作成します。
Answer: A
Explanation:
Explanation
Only one relationship can be active.
Note: If you query two or more tables at the same time, when the data is loaded, Power BI Desktop attempts to find and create relationships for you. The relationship options Cardinality, Cross filter direction, and Make this relationship active are automatically set.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-create-and-manage-relationships
NEW QUESTION: 3
Examine this output from a debug flow:
Which statements about the output are correct?
(Choose two.)
Response:
A. FortiGate received a TCP SYN/ACK packet.
B. The packet was allowed by the firewall policy with the ID 00007fc0.
C. The source IP address of the packet was translated to 10.0.1.10.
D. FortiGate routed the packet through port 3.
Answer: C,D
NEW QUESTION: 4
What are the benefit of using Netflow? (Choose three.)
A. Accounting/Billing
B. Network, Application & User Monitoring
C. Security Analysis
D. Network Planning
Answer: A,B,C
Explanation:
NetFlow traditionally enables several key customer applications including:
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Network Monitoring - NetFlow data enables extensive near real time network monitoring capabilities. Flow-based analysis techniques may be utilized to visualize traffic patterns associated with individual routers and switches as well as on a network-wide basis (providing aggregate traffic or application based views) to provide proactive problem detection, efficient troubleshooting, and rapid problem resolution.
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Application Monitoring and Profiling - NetFlow data enables network managers to gain a detailed, time-based, view of application usage over the network. This information is used to plan, understand new services, and allocate network and application resources (e.g. Web server sizing and VoIP deployment) to responsively meet customer demands.
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User Monitoring and Profiling - NetFlow data enables network engineers to gain detailed understanding of customer/user utilization of network and application resources. This information may then be utilized to efficiently plan and allocate access, backbone and application resources as well as to detect and resolve potential security and policy violations.
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Network Planning - NetFlow can be used to capture data over a long period of time producing the opportunity to track and anticipate network growth and plan upgrades to increase the number of routing devices, ports, or higher- bandwidth interfaces. NetFlow services data optimizes network planning including peering, backbone upgrade planning, and routing policy planning. NetFlow helps 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) and allows the analysis of new network applications. NetFlow will give you valuable information to reduce the cost of operating your network.
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Security Analysis - NetFlow identifies and classifies DDOS attacks, viruses and worms in real-time. Changes in network behavior indicate anomalies that are clearly demonstrated in NetFlow data. The data is also a valuable forensic tool to understand and replay the history of security incidents.
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Accounting/Billing - NetFlow data provides fine-grained metering (e.g. flow data includes details such as IP addresses, packet and byte counts, timestamps, type-of-service and application ports, etc.) for highly flexible and detailed resource utilization accounting.
Service providers may utilize the information for billing based on time-of-day, bandwidth usage, application usage, quality of service, etc. Enterprise customers may utilize the information for departmental charge-back or cost allocation for resource utilization.
