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NEW QUESTION: 1
거래를 기록 할 때 다음 중 비용과 손실의 관계를 가장 잘 나타내는 것은 무엇입니까?
A. 손실은 소득에 대한 특별 비용이며, 비용은 소득에 대한 일반적인 비용입니다.
B. 손실은 중요한 항목이지만 비용은 중요하지 않은 항목입니다.
C. 비용은 항상 방지 할 수 있지만 손실은 방지 할 수 없습니다.
D. 손실은 일상 활동 중에 발생하거나 발생하지 않을 수 있는 비용입니다.
Answer: D
Explanation:
Expenses are defined as "decreases in economic benefits during the accounting period in the form of outflows or depletions of assets or incurrence's of liabilities that result in decreases in equity, other than those relating to distributions to equity participants."
Expenses include losses. Thus, losses are not treated as separate elements. Expenses include items arising in the course of ordinary activities. Losses meet the definition of expenses but may or may not occur in the course of ordinary activities. For example, losses may result from the sale of noncurrent assets or from natural disasters.

NEW QUESTION: 2
Ein Unternehmen verfügt über eine lokale Microsoft SQL Server 2017-Infrastruktur. Das SAN (Storage Area Network), das die SQL-Infrastruktur unterstützt, hat die maximale Kapazität erreicht.
Sie müssen eine Lösung empfehlen, um den Speicherbedarf vor Ort zu reduzieren, ohne die Anwendung zu ändern.
Was tun?
A. Konfigurieren Sie die Georeplikation im SAN.
B. Konfigurieren Sie eine Express Route-Verbindung zu Microsoft Azure.
C. Konfigurieren Sie einen Microsoft Azure Key Vault.
D. Konfigurieren Sie die SQL Server Stretch-Datenbank in Microsoft Azure.
Answer: D
Explanation:
Stretch warm and cold transactional data dynamically from SQL Server to Microsoft Azure with SQL Server Stretch Database. Unlike typical cold data storage, your data is always online and available to query. Benefit from the low cost of Azure rather than scaling expensive, on-premises storage.
References:
https://docs.microsoft.com/en-us/sql/sql-server/stretch-database/stretch-database?view=sql-server-2017

NEW QUESTION: 3
同僚が次のコードを使用して、機械学習サービスワークスペースにデータストアを登録します。

ノートブックからデータストアにアクセスするには、コードを記述する必要があります。

Answer:
Explanation:

Explanation:
Box 1: DataStore
To get a specific datastore registered in the current workspace, use the get() static method on the Datastore class:
# Get a named datastore from the current workspace
datastore = Datastore.get(ws, datastore_name='your datastore name')
Box 2: ws
Box 3: demo_datastore
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-access-data

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