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SAS Predictive Modeling Using SAS Enterprise Miner 14
- Exam Number/Code : A00-255
- Exam Name : SAS Predictive Modeling Using SAS Enterprise Miner 14
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
A. Transactional Memory (TM)
B. CAPI
C. L4 cache
D. Agnostic Memory interface
Answer: A
Explanation:
Reference;http://whywebsphere.com/2015/02/27/ibm-websphere-applicationserver-beats-oracle-weblogic-with-record-specjenterprise-2010-benchmark-result-on-latestintel-haswell-ep-processors/
NEW QUESTION: 2
Azure Machine Learning Serviceを使用して、ニューラルネットワーク分類モデルのハイパーパラメーター探索を自動化しています。
次の要件に従ってランダムサンプリングを使用してハイパーパラメーターを自動的に調整するには、ハイパーパラメーター空間を定義する必要があります。
*学習率は、平均値が10、標準偏差が3の正規分布から選択する必要があります。
*バッチサイズは16、32、64でなければなりません。
*維持確率は、0.05から0.1の範囲の均一な分布から選択された値でなければなりません。
Azure Machine Learning ServiceのPython APIのparam_samplingメソッドを使用する必要があります。
コードセグメントをどのように完成させる必要がありますか? 回答するには、回答エリア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:
In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Example:
from azureml.train.hyperdrive import RandomParameterSampling
param_sampling = RandomParameterSampling( {
"learning_rate": normal(10, 3),
"keep_probability": uniform(0.05, 0.1),
"batch_size": choice(16, 32, 64)
}
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters
NEW QUESTION: 3
You are using Dynamics 365 Sales.
You need to pull data into a Power BI report for your team. The City and State columns must be combined to form one column on the report.
Which function would you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Export data to Microsoft Excel.
B. Import the data.
18912E1457D5D1DDCBD40AB3BF70D5D
C. Create a view.
D. Use Power Query to merge columns.
Answer: D
Explanation:
Reference:
https://docs.microsoft.com/en-us/power-bi/desktop-shape-and-combine-data