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NEW QUESTION: 1
EIGRP接続の問題をトラブルシューティングすると、接続されている2つのEIGRPルータがEIGRPネイバーになっていないことがわかります。 2つのルータ間のpingは成功しました。 次にチェックすべきことは何ですか？
A. EIGRPのhelloタイマーとholdタイマーが完全に一致していることを確認してください。
B. show ip EIGRP trafficコマンドを使用して、EIGRPブロードキャストパケットが2つのルータ間でドロップされていないことを確認します。
C. EIGRPがローカルおよび隣接ルータの適切なネットワークに対して有効になっていることを確認します。
D. show ip EIGRP peerコマンドを使用して、EIGRPブロードキャストパケットが2つのルータ間でドロップされていないことを確認します。
Answer: C

NEW QUESTION: 2
組織は大容量のハッシュタグデータのストリームをリアルタイムで処理する必要があり、特定のタグに関する洞察を得るためにデータに対してカスタムSQLクエリを実行する必要があります。組織はこのソリューションに弾力性が必要であり、クラスターを管理したくないと考えています。
これらの要件を満たすAWSサービスは次のうちどれですか？
A. Amazon Kinesis Data Analytics
B. Amazon Elasticsearch Service
C. Amazon Redshift
D. アマゾンアテナ
Answer: A
Explanation:
Explanation
The streaming source for your application. You can select either a Kinesis data stream or a Kinesis Data Firehose data delivery stream as the streaming source. In the input configuration, you map the streaming source to an in-application input stream. The in-application stream is like a continuously updating table upon which you can perform the SELECT and INSERT SQL operations. In your application code, you can create additional in-application streams to store intermediate query results.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Kinesis Data Analytics takes care of everything required to run your real-time applications continuously and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming applications consume. There is no minimum fee or setup cost.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html

NEW QUESTION: 3
You are using SQL Server Data Tools to develop a SQL Server Integration Services (SSIS) project. The first package that you create in this project contains a package connection that accesses a flat file. Additional packages in the project must also access this file. You need to define and reuse the flat file connection in all project packages. What should you do?
A. Convert the package Connection Manager in the first package to a project Connection Manager.
B. Copy the package Connection Manager and paste it into the second package.
C. Set the ProtectionLevel property of the package Connection Manager to DontSaveSensitive to reuse the flat file connection.
D. Convert the project to the Package Deployment model.
Answer: A