WGU Applied-Probability-and-Statistics Q&A - in .pdf

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  • Exam Name: Applied Probability and Statistics (FZO1 C955)
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NEW QUESTION: 1
Detailed step-by-step instructions to follow during a security incident are considered:
A. Policies
B. Procedures
C. Guidelines
D. Standards
Answer: B

NEW QUESTION: 2
View the exhibit and examine the structure of the SALES, CUSTOMERS, PRODUCTSand TIMEStables.

The PROD_IDcolumn is the foreign key in the SALEStable, which references the PRODUCTStable.
Similarly, the CUST_IDand TIME_IDcolumns are also foreign keys in the SALEStable referencing the CUSTOMERSand TIMEStables, respectively.
Evaluate the following CREATE TABLEcommand:
CREATE TABLE new_sales (prod_id, cust_id, order_date DEFAULT SYSDATE)
AS
SELECT prod_id, cust_id, time_id
FROM sales;
Which statement is true regarding the above command?
A. The NEW_SALEStable would not get created because the DEFAULTvalue cannot be specified in the column definition.
B. The NEW_SALEStable would not get created because the column names in the CREATETABLE command and the SELECTclause do not match.
C. The NEW_SALEStable would get created and all the NOTNULLconstraints defined on the specified columns would be passed to the new table.
D. The NEW_SALEStable would get created and all the FOREIGNKEYconstraints defined on the specified columns would be passed to the new table.
Answer: C

NEW QUESTION: 3
150を超える機能を含むデータセットがあります。 データセットを使用して、サポートベクターマシン(SVM)バイナリ分類器をトレーニングします。
Azure Machine Learning StudioのPermutation Feature Importanceモジュールを使用して、データセットの一連の機能重要度スコアを計算する必要があります。
どの順序でアクションを実行する必要がありますか? 回答するには、すべてのアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Add a Two-Class Support Vector Machine module to initialize the SVM classifier.
Step 2: Add a dataset to the experiment
Step 3: Add a Split Data module to create training and test dataset.
To generate a set of feature scores requires that you have an already trained model, as well as a test dataset.
Step 4: Add a Permutation Feature Importance module and connect to the trained model and test dataset.
Step 5: Set the Metric for measuring performance property to Classification - Accuracy and then run the experiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-support-vector-mac
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importan

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