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NEW QUESTION: 1
会社は、毎週および毎月の報告のために結果をデータウェアハウスシステムに供給する非同期の夜間プロセスを持っています。プロセスは一連のAmazon EC2インスタンス上で実行されています。 SysOps管理者は、このプロセスの実行コストを削減する方法を特定するよう求められています。
最も費用対効果の高いソリューションは何ですか？
A. Auto ScalingグループでOn-Demand EC2インスタンスを使用します
B. スポットインスタンスを使用してEC2インスタンスに入札する
C. EC2インスタンスをプレースメントグループに入れます
D. 予約済みインスタンスを使用して容量を確保する
Answer: A

NEW QUESTION: 2
You implement a SQL Server 2008 Integration Services (SSIS) package. The package contains the following components:
-
A data flow task contained in a For Loop container
-
A Flat File destination component that uses a Flat File connection manager
-
An OnError event handler
When an error occurs in the package, you plan to write diagnostic information from an expression
that includes the version of the package to a text file.
You need to ensure that the required information is written to the text file.
What should you do?
A. Use the VersionGUID variable.
B. Use the TaskID variable.
C. Use the SourceID variable.
D. Use the ExecutionGUID variable.
Answer: A

NEW QUESTION: 3
An organization uses Azure Machine Learning service and wants to expand their use of machine learning.
You have the following compute environments. The organization does not want to create another compute environment.

You need to determine which compute environment to use for the following scenarios.
Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios. Each compute environment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: nb_server

Box 2: mlc_cluster
With Azure Machine Learning, you can train your model on a variety of resources or environments, collectively referred to as compute targets. A compute target can be a local machine or a cloud resource, such as an Azure Machine Learning Compute, Azure HDInsight or a remote virtual machine.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-training-targets