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NEW QUESTION: 1
Which protocol to send isi diagnostic gather logs from a Dell WEMC lsilon cluster to Dell EMC Support when the ESRP gateway is unable?
A. FTPS
B. HTTPS
C. FTP
D. SCP
Answer: C

NEW QUESTION: 2

Refer to the exhibit. How will the router handle a packet destined for 192.0.2.156?
A. The router will forward the packet via either Serial0 or Serial1.
B. The router will forward the packet via Serial2.
C. The router will drop the packet.
D. The router will return the packet to its source.
Answer: B
Explanation:
Router has a default router pointed to 192.168.4.1 and this subnet is connected via serial 2 interface. Router does not have router for the 192.0.2.156. so it will use the default gateway 192.168.4.1. A default route identifies the gateway IP address to which the router sends all IP packets for which it does not have a learned or static route.

NEW QUESTION: 3
Which statement about file-level storage is true?
A. It is complicated to implement.
B. Support external boot-up of systems connected to them.
C. It can store files and provide storage required for special applications like database VMFS.
D. It is well suited for bulk file storage.
Answer: D
Explanation:
Explanation/Reference:
Explanation: File level storage systems are well suited for bulk file storage.
Reference: http://www.excitingip.com/2447/advantages-of-file-level-storage-vs-advantages-of-block-level- storage/

NEW QUESTION: 4
Azure Machine Learning Studioを使用してデータセットを分析しています。
各機能列のp値と一意の値カウントを含む統計サマリーを生成する必要があります。
ユーザーはどちらのモジュールを使用できますか？それぞれの正解は完全な解決策を提示します。
注：それぞれの正しい選択には1ポイントの価値があります。
A. データの要約
B. Pythonスクリプトの実行
C. カウントテーブルのエクスポート
D. 線形相関の計算
E. インジケーター値に変換
Answer: C,D
Explanation:
Explanation
The Export Count Table module is provided for backward compatibility with experiments that use the Build Count Table (deprecated) and Count Featurizer (deprecated) modules.
E: Summarize Data statistics are useful when you want to understand the characteristics of the complete dataset. For example, you might need to know:
How many missing values are there in each column?
How many unique values are there in a feature column?
What is the mean and standard deviation for each column?
The module calculates the important scores for each column, and returns a row of summary statistics for each variable (data column) provided as input.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count-table
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-data