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NEW QUESTION: 1
Which type of object do you use to create an offset for Period ID?
Please choose the correct answer.
Response:
A. Attribute transformation with stored key figure
B. Stored key figure with time profile attribute
C. Calculated key figure with IBP_CAGGR function
D. Attribute for time profile level
Answer: A
NEW QUESTION: 2
多くの日常的なシステム管理者のバックアップおよびリカバリアクティビティを自動化するように求められています。
現在の計画は、AWSが管理するソリューションを可能な限り活用し、残りをAWSCUとスクリプトで自動化することです。
スクリプトを使用して最もよく達成できるタスクはどれですか？
A. 未使用または十分に活用されていないEC2インスタンスを自動的に検出して停止します
B. スナップショットを毎月ローテーションして毎日のEBSスナップショットを作成する
C. スナップショットを毎月ローテーションして毎日のROSスナップショットを作成する
D. 自動スケーリングされたEC2インスタンスをAmazon Elastic LoadBalancerに自動的に追加します
Answer: B
NEW QUESTION: 3
あなたは会社のMicrosoft 365管理者です。同社は、フェデレーション認証とAzure AD Connectを実装しています。
以下の各ステートメントについて、ステートメントが真である場合は「はい」を選択します。それ以外の場合は、「いいえ」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:
References:
https://docs.microsoft.com/en-us/azure/security/fundamentals/choose-ad-authn
NEW QUESTION: 4
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