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NEW QUESTION: 1
外部アプリケーションからWebフックを使用してトリガーされるAzure関数を開発しています。
Azure Functionはリクエストの本文でJSONデータを受け取ります。
呼び出し側アプリケーションは、URLの一部としてアカウントIDを送信します。 URLの末尾の数字は整数です。
URLの形式は次のようになります。/ api / account / 1
Azure Functionは、キーやトークンを要求せずにすべての着信要求を受け付ける必要があります。
Azure Functionの属性を完成させる必要があります。
どのようにしてコードを完成させるべきですか?回答するには、回答領域で適切なオプションを選択します。
注:それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation:

説明


NEW QUESTION: 2
Which VirusScan policy configures the option "Allow this system to make remote console connections to other systems'?
A. Unwanted Programs
B. On-Access Scanner
C. Quarantine Manager
D. User interface
Answer: D

NEW QUESTION: 3
During the sbuctured network troubleshooting process, in which of the following phases is the fault reported or advertised to other departments? (Multiple Choice)
A. Troubleshooting assessment
B. Information collection
C. Cause list
D. Fault identification
Answer: A,B,C,D

NEW QUESTION: 4
Einstein Discoveryストーリーを構築するためのデータセットには、潜在的に関連する予測変数である72のフィールドが含まれています。
有意義で堅牢なモデルを実現するために、上位予測子を評価するためのベストプラクティスと考えられるアプローチはどれですか?
A. すべての予測子を使用してストーリーを構築し、Einstein Discoveryが上位の予測子を表示することを示します。
B. このデータセットは大きすぎるため、Einstein Discoveryで使用できません。少ない予測変数で新しいデータセットを要求します。
C. データの準備に戻り、ストーリーを作成するためにフィールドの数を30未満に減らします。
D. 予測子の最初のセットでストーリーを構築し、どの予測子がストーリーにとって重要かを評価します。次に、重要度の低いものを削除し、最初の実行で省略された予測子を追加して、その影響を評価します。
Answer: D
Explanation:
説明
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4

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