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NEW QUESTION: 1
Match the correct SSD type to each given use case.
Answer:
Explanation:
Explanation
Latency sensitive OLTP application - SSDs used for DB log files - Write Intensive (WI)
50/50 read/write file server - SSD's used for tiering - mixed use (MU)
Long-term data storage and look up/retrieval application - SSDs used for All Flash Array Storage - Read Intensive (RI) Software Defined Storage Application - SSDs used for caching spinning media - Read Intensive (RI) Data Warehouse Application - SSDs used for frequently access data lookups - Write Intensive (WI)
NEW QUESTION: 2
When Multi-point Resource Management Center in multi-user mode, it can assign different users different permissions, only users with the appropriate permissions to perform the appropriate action.
A. False
B. True
Answer: B
NEW QUESTION: 3
ネットワークエンジニアが自己登録ゲストポータルをセットアップするために使用するISE1.3環境
A. ポリシー>承認>ゲストポータル
B. セキュリティ>アクセス制御リスト>ゲストポータル
C. ゲストアクセス>構成>ゲストポータル
D. ポリシー>設定>ゲストポータル
Answer: C
NEW QUESTION: 4
AccessibilityToHighway列の欠落データを置き換える必要があります。
Clean Missing Dataモジュールをどのように構成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
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。
Answer:
Explanation:
Explanation:
Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or "Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data