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NEW QUESTION: 1
When designing the identity and access control portions for the enterprise campus network, which of these solutions would be the most appropriate solution to consider?
A. ACLs in the core layer
B. Cisco Security MARS
C. NetFlow
D. 802.1X
Answer: D
Explanation:
Explanation


NEW QUESTION: 2
You set the following parameters in the parameter file and restart the database instance:

Which two statements are true? (Choose two.)
A. The value of the MEMORY_MAX_TARGETparameter remains zero for the database instance.
B. The lower limits of the PGA_AGGREGATE_TARGETand SGA_TARGETparameters are set to 90 MB and
270 MB respectively.
C. The MEMORY_MAX_TARGETparameter is automatically set to 500 MB.
D. The PGA_AGGREGATE_TARGETand SGA_TARGETparameters are automatically set to zero.
E. The instance does not start up because Automatic Memory Management (AMM) is enabled but PGA_AGGREGATE_TARGETand SGA_TARGETparameters are set to nonzero values.
Answer: B,C

NEW QUESTION: 3
ワイヤレスサービスを提供する会社には、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ソリューションが必要です。
現在、ログファイルはAmazon EC2インスタンスのAmazon Linuxに毎日配信されます。バッチスクリプトは、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するために1日に1回実行されます。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。バッチスクリプトは保守が面倒で、増え続けるデータ量をサードパーティツールに配信するのに数時間かかります。同社はコストの削減を望んでおり、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。会社は、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、より俊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、費用対効果と拡張性が必要です。
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 EC2からのデータをリアルタイムで失敗させ、Amazon S3にデータを保存するPythonスクリプトを開発します。 copyコマンドを使用して、Amazon S3からAmazon Redshiftにデータをコピーします。 Amazon EC2で実行されているビジネスインテリジェンスツールをAmazon Redshiftに接続し、視覚化を作成します。
B. Amazon EBSに最適化されたEC2インスタンスで実行されるメモリ内キャッシュアプ​​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Amazon ESクラスターをインストールして、ほぼリアルタイムでAmazon EC2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、視覚エフェクトを作成します。
C. Auto Scalingグループの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 Data Forehose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Amazon ESに直接配信します。 Kibanaを使用してデータを視覚化します。
D. 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 Data Firehose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Amazon S3に配信します。 AWS Lambda関数を使用して、Amazon S3からAmazon ES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。
Answer: C
Explanation:
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html A: Not real time.
C: Not sure if in-memory caching will help in terms of logs and not DB? Anyway installing ES cluster on the same EC2 instance means the ES is not managed and will increase overhead.
D: ES already has direct integration with Firehose, there is no need to transfer to S3 first unless it needs to retain the data for long period of time for analysis
https://aws.amazon.com/elasticsearch-service/?nc=sn&loc=1

NEW QUESTION: 4
Azure Resource ManagerでRG1という名前のリソースグループを作成します。
RG1のリソースが削除されないようにする必要があります。
どの設定を使うべきですか?回答するには、回答領域で適切な設定を選択します。

Answer:
Explanation:

Explanation

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