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NEW QUESTION: 1
What effect does enabling GNA on an Isilon node pool have for SSDs?
A. Allows node pools without SSDs to use SSDs in other node pools for metadata read acceleration
B. Allows SSDs in all node pools to be used as L3 cache and shared between node pools
C. Allows SSDs in the same node pool as the data to be used for metadata read acceleration
D. Enables cluster-wide read/write metadata acceleration utilizing all SSDs
Answer: A

NEW QUESTION: 2
HOTSPOT
You create a virtual network named fabVNet01.
You design the virtual network to include two subnets, one named DNS-subnet and one named Apps-subnet, as shown in the exhibit. (Click the Exhibits button.)

In the table below, identify the number of IP addresses that will be available for virtual machines (VMs) or cloud services in each subnet. Make only one selection in each column.

Answer:
Explanation:

NEW QUESTION: 3
When network administrators observe an increased amount of web traffic without an increased number of financial transactions, the company is MOST likely experiencing which of the following attacks?
A. DoS
B. Bluejacking
C. ARP cache poisoning
D. Phishing
Answer: A

NEW QUESTION: 4
GoogleCloudでレコメンデーションエンジンを使用するアプリケーションを開発しています。ソリューションでは、過去の視聴回数に基づいて新しい動画を顧客に表示する必要があります。ソリューションでは、顧客が視聴したビデオ内のエンティティのラベルを生成する必要があります。設計では、数TBのデータに関する他の顧客の好みからのデータに基づいて、非常に高速なフィルタリングの提案を提供できる必要があります。あなたは何をするべきか？
A. Cloud Video IntelligenceAPIを呼び出してラベルを生成するアプリケーションを構築します。 Cloud Bigtableにデータを保存し、予測されたラベルをフィルタリングしてユーザーの表示履歴に一致させ、設定を生成します。
B. Spark MLlibを使用して分類モデルを構築およびトレーニングし、ラベルを生成します。 Spark MLlibを使用して2番目の分類モデルを構築およびトレーニングし、顧客の好みに一致するように結果をフィルタリングします。 CloudDataprocを使用してモデルをデプロイします。アプリケーションからモデルを呼び出します。
C. Spark MLlibを使用して複雑な分類モデルを構築およびトレーニングし、ラベルを生成して結果をフィルタリングします。
CloudDataprocを使用してモデルをデプロイします。アプリケーションからモデルを呼び出します。
D. Cloud Video IntelligenceAPIを呼び出してラベルを生成するアプリケーションを構築します。 Cloud SQLにデータを保存し、予測されたラベルを結合およびフィルタリングして、ユーザーの表示履歴と一致させ、設定を生成します。
Answer: A