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NEW QUESTION: 1
Before deploying IT Analytics service on Linux, you should identify the existence and version of which four libraries or software packages?
A. libaio
B. glib
C. bstat
D. libstdc
E. perl
F. systat
G. curl
Answer: A,B,D,F
NEW QUESTION: 2
You want a requisition file to capture information about whether a candidate is willing to relocate. What process should you follow to get this information into the requisition file? (Choose the best answer.)
A. Create a user-defined form to capture the information, then add that form to a section within the requisition file.
B. Create a user-defined field to capture the information, add that field to a user-defined form, and then add that form to a section within the requisition file.
C. Create a requisition file to capture information about candidate relocation.
D. Add the Relocation standard field to a user-defined form, and then add that form to a section within the requisition file.
Answer: D
NEW QUESTION: 3
A. Option D
B. Option B
C. Option C
D. Option A
Answer: B
Explanation:
Explanation
https://supportforums.cisco.com/t5/intrusion-prevention-systems-ids/correct-placement-of-ids-ips-in-network-arc
NEW QUESTION: 4
Azure Machine Learning Studioで多重線形回帰モデルを作成しています。
いくつかの独立変数は高度に相関しています。
すべてのデータに対して効果的な特徴エンジニアリングを行うための適切な方法を選択する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation:
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selection
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform
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