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NEW QUESTION: 1
分類タスクを解決しています。
データセットが不均衡です。
あなたは、分類精度を向上させるためにAzureの機械学習Studioのモジュールを選択する必要があります。
あなたはどちらのモジュールを使用する必要がありますか？
A. 順列機能の重要性
B. フィッシャー線形判別分析。
C. フィルタに基づく機能の選択
D. の合成少数オーバーサンプリング技術（撃ち）
Answer: D
Explanation:
Explanation
Use the SMOTE module in Azure Machine Learning Studio (classic) to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
You connect the SMOTE module to a dataset that is imbalanced. There are many reasons why a dataset might be imbalanced: the category you are targeting might be very rare in the population, or the data might simply be difficult to collect. Typically, you use SMOTE when the class you want to analyze is under-represented.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
NEW QUESTION: 2
You provision an Oracle Java Cloud Service instance with the following configuration:
cluster size of 2
compute shape set to OC4 (2 OCPUs and 15 GB memory)
load balancer enabled with a compute shape set to OC5 (4 OCPUs and 30 GB memory)
Oracle Database Cloud - Database as a Service instance with a compute shape set to OC4 (2 OCPUs
and 15 GB memory)
How many Oracle Compute Units (OCPUs) will be consumed?
A. 0
B. 1
C. 2
D. 3
E. 4
F. 5
G. 6
Answer: C
NEW QUESTION: 3
Which of the following is the MOST reliable way to ensure network security incidents are Identified as soon as possible'
A. Install stateful inspection firewalls
B. Tram help desk staff to identify and prioritize security incidents
C. Conduct workshops and training sessions with end users.
D. Collect and correlate IT Infrastructure event logs
Answer: D
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