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NEW QUESTION: 1
会社には、オンプレミスのMicrosoft SQL Serverインスタンスがあります。
データエンジニアリングチームは、SQL ServerインスタンスからAzure Blobストレージにデータをコピーするプロセスの実装を計画しています。プロセスは、データのライフサイクルを調整および管理する必要があります。
SQL Serverインスタンスに接続するようにAzure Data Factoryを構成する必要があります。
順番に実行する必要がある3つのアクションはどれですか?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エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
ステップ1:Azure Data Factoryをデプロイする
データファクトリを作成し、データファクトリUIを起動して、データファクトリにパイプラインを作成する必要があります。
ステップ2:オンプレミスネットワークから、自己ホスト型ランタイムをインストールして構成します。
パブリックにアクセスできないSQL Serverデータベースからコピーデータを使用するには、自己ホスト型統合ランタイムをセットアップする必要があります。
ステップ3:リンクされたサービスを構成して、SQL Serverインスタンスに接続します。
参照:
https://docs.microsoft.com/en-us/azure/data-factory/connector-sql-server

NEW QUESTION: 2
You are developing a linear regression model in Azure Machine Learning Studio. You run an experiment to compare different algorithms.
The following image displays the results dataset output:

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the image.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

NEW QUESTION: 3
Which function do you use to calculate variances?
Please choose the correct answer.
Response:
A. EPMExecuteAPl
B. EPMMemberProperty
C. EPMComparison
D. EPMMemberOffset
Answer: C

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