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NEW QUESTION: 1
A company is launching a new multinational AEM site. The new site will has a large pool of authors all over the world. The company needs to be sure it can handle the load.
The load requirement for the new site are as follows:
* A daily load scaling from 100 to 1000 authors
* Create multiple pages and live copies (including ASM rollouts)
* Update 1000 tags to each new pages
What can the DevOps Engineer do to make sure the AEM instance can handle the load?
A. Use Adobe Tough day 2
B. Set up a cold standby instance
C. Set up auto scaling
D. Use standard Cloud Manager tests
Answer: A
NEW QUESTION: 2
What will cause the HBAs to be reported in the UNKNOWN pool in a ControlCenter environment?
A. SDM agent not running on the server that owns the HBA
B. Master Agent not running on the host that owns the HBA
C. SDM agent not installed in the infrastructure
D. Host agent not running on the server that owns the HBA
Answer: D
NEW QUESTION: 3
Pythonで機械学習モデルを作成しています。 提供されたデータセットには、いくつかの数値列と1つのテキスト列が含まれています。 テキスト列は、製品のカテゴリを表します。 製品カテゴリは常に次のいずれかになります。
*自転車
* 車
* バン
*ボート
scikit-learn Pythonパッケージを使用して回帰モデルを構築しています。
scikit-learn Pythonパッケージと互換性があるようにテキストデータを変換する必要があります。
コードセグメントをどのように完成させる必要がありますか？ 回答するには、回答エリアで適切なオプションを選択します。
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
Box 1: pandas as df
Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.
Box 2: transpose[ProductCategoryMapping]
Reshape the data from the pandas Series to columns.
Reference:
https://datascienceplus.com/linear-regression-in-python/
