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NEW QUESTION: 1
チームは、フィールドと一致しない列名を持つファイルをデータ拡張にインポートしたいと考えています。ファイルデータをデータ拡張のフィールド名に合わせるには、どのステップが必要ですか？
A. 区切り文字を選択します
B. 新しいインポート定義に名前を付けます
C. ファイル内の属性をマップします
D. 適切な日付形式を選択します
Answer: C
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are using Azure Machine Learning to run an experiment that trains a classification model.
You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. You configure a HyperDriveConfig for the experiment by running the following code:
You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted.
Solution: Run the following code:
Does the solution meet the goal?
A. No
B. Yes
Answer: B
NEW QUESTION: 3
You want to schedule a job to rebuild a table's indexes after a bulk insert, which must be scheduled as soon as a file
containing data arrives on the system.
What would you do to accomplish this?
A. Create a job array and add a job for bulk insert and a job to rebuild indexes to the job array.
B. Create a file watcher for the bulk inserts and then create a job to rebuild indexes.
C. Create an event-based job for the file arrival event, then create a job for bulk insert, and then create a job to
rebuild indexes.
D. Create a file watcher and an event-based job for bulk insert and then create another job to rebuild indexes on the
table.
Answer: D