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NEW QUESTION: 1
Julia Chen, a portfolio manager for U.S.-based Dane Investments, has just established a short position in Swiss franc currency futures as part of a currency overlay strategy. The position consists of 100,000 contracts with an initial margin of $4,000, a maintenance margin of $2,500, and a contract price of 0.9120 USD/CHF. If the futures price on the subsequent two days is 0.9300, and 0.8928, respectively, what will be her margin account balance at the end of the second day?
A. $7,720
B. $6,200
C. $4,000
Answer: B

NEW QUESTION: 2
REST APIでサポートされているエンコード方式はどれですか？ （2つ選択してください）
A. XML
B. EBCDIC
C. YAML
D. SGML
E. JSON
Answer: A,E
Explanation:
https://www.cisco.com/c/en/us/td/docs/switches/datacenter/aci/apic/sw/2-x/rest_cfg/2_1_x/b_Cisco_APIC_REST_API_Configuration_Guide/b_Cisco_APIC_REST_API_Configuration_Guide_chapter_01.html Reference:
https://www.cisco.com/c/en/us/td/docs/switches/datacenter/nexus1000/sw/5_x/rest_api_config/b_Cisco_N1KV_VMware_REST_API_Config_5x/b_Cisco_N1KV_VMware_REST_API_Config_5x_chapter_010.pdf The Application Policy Infrastructure Controller (APIC) REST API is a programmatic interface that uses REST architecture. The API accepts and returns HTTP (not enabled by default) or HTTPS messages that contain JavaScript Object Notation (JSON) or Extensible Markup Language (XML) documents.

NEW QUESTION: 3
An HTML form contains this form element:
<input type="image" name="myImage" src="image.png" />
The user clicks on the image to submit the form. How can you now access the relative coordinates of the mouse click?
A. $_FILES['myImage']['x'] and $_FILES['myImage']['y']
B. $_POST['myImage_x'] and $_POST['myImage_y']
C. $_POST['myImage.x'] and $_POST['myImage.y']
D. $_POST['myImage']['x'] and $_POST['myImage']['y']
Answer: B

NEW QUESTION: 4
機械学習のタイプを適切なシナリオに一致させます。
答えるには、適切な機械学習タイプを左側の列から右側のシナリオにドラッグします。
各機械学習タイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation
Box 1: Regression
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Box 2: Classification
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Box 3: Clustering
Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression