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NEW QUESTION: 1
Azure Machine Learning Studioで実験を作成します。 10,000行を含むトレーニングデータセットを追加します。最初の9,000行はクラス0（90パーセント）を表します。
残りの1,000行はクラス1（10パーセント）を表します。
トレーニングセットは、2つのクラス間の不均衡です。 5つのデータ行を使用して、クラス1のトレーニング例の数を4,000に増やす必要があります。 Synthetic Minority Oversampling Technique（SMOTE）モジュールを実験に追加します。
モジュールを構成する必要があります。
どの値を使用する必要がありますか？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: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

NEW QUESTION: 2
In Data Transfer from SAP Cloud for Customer to SAP BW, which of the following upload modes are
supported?
Please choose the correct answer.
Response:
A. Delta upload
B. Delta with limited upload
C. Delta with init upload
D. Full upload
Answer: D

NEW QUESTION: 3
Your EMR job processes a single 2 TB data file stored on Amazon Simple Storage Service (S3).
The EMR job runs on two On-Demand core nodes and three On-Demand task nodes. What can you do to reduce the time it takes for the job to complete? Choose the correct answer:
A. Use spot instances instead of on-demand for the core nodes
B. Use versioning on the S3 bucket.
C. Adjust the number of simultaneous mapper tasks.
D. Use a VPC to launch the core and task nodes
Answer: C
Explanation:
When your cluster runs, Hadoop creates a number of map and reduce tasks. These determine the number of tasks that can run simultaneously during your cluster. Run too few tasks and you have nodes sitting idle; run too many and there is significant framework overhead.
Reference:
http://docs.aws.amazon.com/emr/latest/DeveloperGuide/TaskConfiguration_H1.0.3.html