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NEW QUESTION: 1
Given the SAS data set WORK.ONE:

And the SAS data set WORK.TWO: The following program is submitted:


What is the first observation in the SAS data set WORK.BOTH?

A. Option D
B. Option C
C. Option A
D. Option B
Answer: C

NEW QUESTION: 2
AWSによって完全に管理される共有責任モデルのコンポーネントは次のうちどれですか？
A. オペレーティングシステムソフトウェアのパッチ
B. 多要素認証の実施
C. データの暗号化
D. 物理的なデータセンター資産の監査
Answer: D
Explanation:
Of course, Amazon is responsible for auditing physical data center assets and resources since it is the property of Amazon Inc. Customers have no access to physical sites, hence they are not responsible for maintaining physical data center assets.

NEW QUESTION: 3
マルチクラスの画像分類の深層学習モデルを作成します。
モデルは、パブリックWebポータルからフェッチされた新しい画像データで毎月再トレーニングする必要があります。 Azure Machine Learningパイプラインを作成して、新しいデータをフェッチし、画像のサイズを標準化し、モデルを再トレーニングします。
パイプラインのスケジュールを構成するには、Azure Machine Learning SDKを使用する必要があります。
どの4つのアクションを順番に実行する必要がありますか。回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Publish the pipeline.
To schedule a pipeline, you'll need a reference to your workspace, the identifier of your published pipeline, and the name of the experiment in which you wish to create the schedule.
Step 2: Retrieve the pipeline ID.
Needed for the schedule.
Step 3: Create a ScheduleRecurrence..
To run a pipeline on a recurring basis, you'll create a schedule. A Schedule associates a pipeline, an experiment, and a trigger.
First create a schedule. Example: Create a Schedule that begins a run every 15 minutes:
recurrence = ScheduleRecurrence(frequency="Minute", interval=15)
Step 4: Define an Azure Machine Learning pipeline schedule..
Example, continued:
recurring_schedule = Schedule.create(ws, name="MyRecurringSchedule",
description="Based on time",
pipeline_id=pipeline_id,
experiment_name=experiment_name,
recurrence=recurrence)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-schedule-pipelines

NEW QUESTION: 4
Refer to the exhibit.

Which option describes the reason for this message in a GLBP configuration?
A. Incorrect GLBP IP address
B. Unavailable GLBP active forwarder
C. Layer 2 loop
D. HSRP configured on same interface as GLBP
Answer: C

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