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NEW QUESTION: 1
Examine the IPS sensor configuration shown in the exhibit, and then answer the question below.

What are the expected actions if traffic matches this IPS sensor? (Choose two.)
A. The sensor will block all attacks for Windows servers.
B. The sensor will reset all connections that match these signatures.
C. The sensor will not block attackers matching the A32S.Botnet signature.
D. The sensor will gather a packet log for all matched traffic.
Answer: A,D

NEW QUESTION: 2
最高情報セキュリティ責任者（CISO）は、サーバーデータを消費するローカルデータセンターへのDDoS攻撃が長引いた場合でも、組織が業務を継続できるかどうかを懸念しています。 CISOがこのリスクを軽減するために最も推奨する可能性が高いのは次のうちどれですか？
A. すべてのエンドユーザークエリに対してチャレンジレスポンステストを実装します。
B. ホットサイトのフェイルオーバー場所を実装します。
C. データセンターで利用可能な帯域幅をアップグレードします。
D. 地理的に分散したクラウドデータセンターに移行します。
E. 顧客に完全なSaaSオファリングに切り替えます。
Answer: B

NEW QUESTION: 3
会社のソリューションを設計しています。このソリューションでは、客観的な分類にモデルトレーニングを使用します。
ソリューションを設計する必要があります。
何をお勧めしますか？
A. Azure Cognitive Servicesアプリケーション
B. Spark Streamingジョブ
C. Power BIモデル
D. インタラクティブなSparkクエリ
E. Spark MLibを使用するSparkアプリケーション。
Answer: E
Explanation:
Spark in SQL Server big data cluster enables AI and machine learning.
You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset.
MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for:
* Classification
* Regression
* Clustering
* Topic modeling
* Singular value decomposition (SVD) and principal component analysis (PCA)
* Hypothesis testing and calculating sample statistics
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython