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NEW QUESTION: 1
デザイナーを使用して新しいAzure Machine Learningパイプラインを作成しています。
パイプラインは、Webサイトで公開されているコンマ区切り値（CSV）ファイルのデータを使用してモデルをトレーニングする必要があります。このファイルのデータセットを作成していません。
最小限の管理作業で、CSVファイルからデザイナーパイプラインにデータを取り込む必要があります。
Designerのどのモジュールをパイプラインに追加する必要がありますか？
A. データセット
B. CSVに変換
C. データを手動で入力します
D
D. データのインポート
Answer: A
Explanation:
Explanation
The preferred way to provide data to a pipeline is a Dataset object. The Dataset object points to data that lives in or is accessible from a datastore or at a Web URL. The Dataset class is abstract, so you will create an instance of either a FileDataset (referring to one or more files) or a TabularDataset that's created by from one or more files with delimited columns of data.
Example:
from azureml.core import Dataset
iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 'train-dataset/iris.csv')]) Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-your-first-pipeline

NEW QUESTION: 2
Routers R1 and R2 are configured for HSRP as shown below:
Router R1:
interface ethernet 0
ip address 20.6.2.1 255.255.255.0
standby 35 ip 20.6.2.21
standby 35 priority 100
interface ethernet 1
ip address 20.6.1.1.2 255.255.255.0
standby 34 ip 20.6.1.21
Router R2:
interface ethernet 0
ip address 20.6.2.2 255.255.255.0
standby 35 ip 20.6.2.21
interface ethernet 1
ip address 20.6.1.1.1 255.255.255.0
standby 34 ip 20.6.1.21
standby 34 priority 100
You have configured the routers R1 & R2 with HSRP. While debugging router R2 you notice very frequent HSRP group state transitions. What is the most likely cause of this?
A. failure to set the command standby 35 preempt
B. physical layer issues
C. no spanning tree loops
D. use of non-default HSRP timers
Answer: B

NEW QUESTION: 3
You can view the camera's name, code, IP address, model, status and more in NetEco Video menu.
A. True
B. False
Answer: A

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