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NEW QUESTION: 1
CSVファイルのセットには販売レコードが含まれています。すべてのCSVファイルは同じデータスキーマを持っています。
各CSVファイルには、特定の月の販売レコードが含まれ、ファイル名はsales.csvです。各ファイルは、データが記録された月と年を示すフォルダーに保存されます。フォルダーは、Azure MachineLearningワークスペースでデータストアが定義されているAzureBLOBコンテナー内にあります。フォルダーは、salesという名前の親フォルダーに編成され、次の階層構造を作成します。

月末に、その月のsalesファイルを含む新しいフォルダーがsalesフォルダーに追加されます。
販売データを使用して、次の要件に基づいて機械学習モデルをトレーニングすることを計画しています。
これまでのすべての販売データを、データフレームに簡単に変換できる構造にロードするデータセットを定義する必要があります。
特定の前月より前に作成されたデータのみを使用し、その月以降に追加されたデータを無視する実験を作成できる必要があります。
可能な限り最小数のデータセットを登録する必要があります。
Azure MachineLearningサービスワークスペースに販売データをデータセットとして登録する必要があります。
あなたは何をするべきか？
A. データストアを参照し、毎月各 'sales / mm-yyyy /sales.csv'ファイルを明示的に指定する表形式のデータセットを作成します。毎月sales_datasetという名前でデータセットを登録し、既存のデータセットを置き換えて、登録された月と年を示すmonthという名前のタグを指定します。このデータセットをすべての実験に使用します。
B. データストアを参照し、各 'sales / mm-yyyy /sales.csv'ファイルを明示的に指定する表形式のデータセットを作成します。データセットをsales_datasetという名前で毎月新しいバージョンとして登録し、月という名前のタグで登録した月と年を示します。このデータセットをすべての実験に使用し、必要に応じて月タグに基づいて使用するバージョンを特定します。
C. データストアを参照し、毎月各 'sales / mm-yyyy /sales.csv'ファイルを明示的に指定する新しい表形式のデータセットを作成します。毎月sales_dataset_MM-YYYYという名前のデータセットを、月と年に適切なMM値とYYYY値で登録します。実験には、適切な月固有のデータセットを使用してください。
D. データストアを参照し、パス 'sales / * / sales.csv'を指定する表形式のデータセットを作成し、sales_datasetという名前と、登録された月と年を示すmonthという名前のタグでデータセットを登録します。これを使用します。すべての実験のデータセット。
Answer: D
Explanation:
Specify the path.
Example:
The following code gets the workspace existing workspace and the desired datastore by name. And then passes the datastore and file locations to the path parameter to create a new TabularDataset, weather_ds.
from azureml.core import Workspace, Datastore, Dataset
datastore_name = 'your datastore name'
# get existing workspace
workspace = Workspace.from_config()
# retrieve an existing datastore in the workspace by name
datastore = Datastore.get(workspace, datastore_name)
# create a TabularDataset from 3 file paths in datastore
datastore_paths = [(datastore, 'weather/2018/11.csv'),
(datastore, 'weather/2018/12.csv'),
(datastore, 'weather/2019/*.csv')]
weather_ds = Dataset.Tabular.from_delimited_files(path=datastore_paths)

NEW QUESTION: 2
Northern Trail Outfitters needs to make synchronous callouts "available to promise" services to query product availability and reserve inventory during customer checkout process.
Which two considerations should an integration architect make when building a scalable integration solution?
Choose 2 answers
A. The typical and worst-case historical response times.
B. The maximum query cursors open per user on the service.
C. How many concurrent service calls are being placed.
D. The number batch jobs that can run concurrently.
Answer: B,D

NEW QUESTION: 3
Exhibit:

Based on the DSCP field (first 6 bits of the ToS field), packets can be classified into how many types?
A. 0
B. 1
C. 2
D. 3
Answer: B

NEW QUESTION: 4
You must configure a Cisco ASA 5500 Series as an NTP client by using authentication. Drag and drop the configuration steps from the left into the correct order on the right.

Answer:
Explanation:

Explanation