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NEW QUESTION: 1
A customer is running the Dell Storage Manager (DSM) Suite as a software stack on Microsoft Windows. To reduce the Microsoft licensing costs, the customer wants to switch to the DSM Virtual Appliance.
Which recommended deployment should the customer use?
A. Migrate the DSM database manually
B. Configure as a Primary Data Collector
C. Configure as a Remote Data Collector
D. Migrate from the existing Data Collector
Answer: D
NEW QUESTION: 2
How are business rules implemented in xCP 2.x?
A. using custom process parameters that can be changed by an administrator at runtime
B. using design widgets organized on an HTML form
C. using functional expressions that drive process-flow through user actions and activity triggering
D. using custom code attached to business objects
Answer: C
NEW QUESTION: 3
お客様のネットワークに新しいスイッチをインストールして構成するように求められました。既存のスイッチおよび新しいスイッチへのコンソールアクセスを使用して、正しいデバイス構成を構成および検証します。
New_SwitchをLANトポロジに接続しています。スイッチは部分的に構成されているため、PC1とPC2との通信を有効にするには、残りの構成を完了する必要があります。正しい構成はどれですか？
A. オプションE
B. オプションD
C. オプションB
D. オプションA
E. オプションC
Answer: B
Explanation:
説明
VTP内では、VTPドメイン名が一致する必要があります。したがって、ステップ1は、他のスイッチで正しいVTP名を見つけることです。
SW1にログインし、「show vtp status」コマンドを使用すると、次のように表示されます。
したがって、VTPドメインはCCNPでなければなりません。これにより、選択肢DとEのみが残ります。
また、トポロジ図から、新しいスイッチのeth 0/0がVLNA 100のPCに接続していることがわかります。したがって、このポートはVLAN 100のアクセスポートでなければならず、選択肢Dのみが正しいままであることがわかります。このネットワークでサポートされているVTPバージョンは1、2、3であるため、新しいスイッチでVTPバージョン2または3を設定できます。
NEW QUESTION: 4
If a dataset contains rows with individual people and columns for year of birth, country, and income, how many of the columns are continuous and how many are categorical?
A. 1 continuous and 2 categorical
B. 3 categorical
C. 2 continuous and 1 categorical
D. 3 continuous
Answer: C
Explanation:
Explanation
The columns can be grouped into two types-categorical and continuous columns:
A column is called categorical if its value can only be one of the categories in a finite set. For example, the native country of a person (U.S., India, Japan, etc.) or the education level (high school, college, etc.) are categorical columns.
A column is called continuous if its value can be any numerical value in a continuous range. For example, the capital gain of a person (e.g. $14,084) is a continuous column.
Year of birth and income are continuous columns. Country is a categorical column.
You could use bucketization to turn year of birth and/or income into categorical features, but the raw columns are continuous.
Reference: https://www.tensorflow.org/tutorials/wide#reading_the_census_data