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NEW QUESTION: 1
MongoDBデータベースを使用するWebアプリケーションがあります。 WebアプリケーションをAzureに移行する予定です。
コードと構成の変更を最小限に抑えながら、Cosmos DBに移行する必要があります。
Cosmos DB構成を設計する必要があります。
何をお勧めですか？ 回答するには、回答領域で適切な値を選択してください。
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:

Explanation:
MongoDB compatibility: API
* API: MongoDB API
* Azure Cosmos DB comes with multiple APIs:
* SQL API, a JSON document database service that supports SQL queries. This is compatible with the former Azure DocumentDB.
* MongoDB API, compatible with existing Mongo DB libraries, drivers, tools and applications.
* Cassandra API, compatible with existing Apache Cassandra libraries, drivers, tools, and applications.
* Azure Table API, a key-value database service compatible with existing Azure Table Storage.
* Gremlin (graph) API, a graph database service supporting Apache Tinkerpop's graph traversal language, Gremlin.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/create-mongodb-dotnet

NEW QUESTION: 2
Which of the following protocols supports source-specific multicast (SSM)?
A. ARP
B. DNS
C. BGMP
D. DHCP
Answer: C

NEW QUESTION: 3
モデルトレーニング要件に合わせて、順列機能の重要度モジュールを構成する必要があります。
あなたは何をするべきか？回答するには、回答領域のダイアログボックス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: 500
For Random seed, type a value to use as seed for randomization. If you specify 0 (the default), a number is generated based on the system clock.
A seed value is optional, but you should provide a value if you want reproducibility across runs of the same experiment.
Here we must replicate the findings.
Box 2: Mean Absolute Error
Scenario: Given a trained model and a test dataset, you must compute the Permutation Feature Importance scores of feature variables. You need to set up the Permutation Feature Importance module to select the correct metric to investigate the model's accuracy and replicate the findings.
Regression. Choose one of the following: Precision, Recall, Mean Absolute Error , Root Mean Squared Error, Relative Absolute Error, Relative Squared Error, Coefficient of Determination References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importan