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NEW QUESTION: 1
You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
age,city,income,home_owner
21,Chicago,50000,0
35,Seattle,120000,1
23,Seattle,65000,0
45,Seattle,130000,1
18,Chicago,48000,0
You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
* the number of observations in the dataset
* a box plot of income by home_owner
* a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: log
The number of observations in the dataset.
run.log(name, value, description='')
Scalar values: Log a numerical or string value to the run with the given name. Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Box 2: log_image
A box plot of income by home_owner.
log_image Log an image to the run record. Use log_image to log a .PNG image file or a matplotlib plot to the run. These images will be visible and comparable in the run record.
Example: run.log_image("ROC", plot=plt)
Box 3: log_table
A dictionary containing the city names and the average income for each city.
log_table: Log a dictionary object to the run with the given name.

NEW QUESTION: 2

A. Option C
B. Option D
C. Option B
D. Option A
Answer: C

NEW QUESTION: 3
John Green, CFA, is a sell-side technology analyst at Federal Securities, a large global investment banking and advisory firm. In many of his recent conversations with executives at the firms he researches, Green has heard disturbing news. Most of these firms are lowering sales estimates for the coming year. However, the stock prices have been stable despite management's widely disseminated sales warnings. Green is preparing his quarterly industry analysis and decides to seek further input. He calls Alan Volk, CFA, a close friend who runs the Initial Public Offering section of the investment banking department of Federal Securities.
Volk tells Green he has seen no slowing of demand for technology IPOs. "We've got three new issues due out next week, and two of them are well oversubscribed." Green knows that Volk's department handled over 200 IPOs last year, so he is confident that Volk's opinion is reliable. Green prepares his industry report, which is favorable. Among other conclusions, the report states that "the future is still bright, based on the fact that 67% of technology IPOs are oversubscribed." Privately, Green recommends to Federal portfolio managers that they begin selling all existing technology issues, which have "stagnated," and buy the IPOs in their place.
After carefully evaluating Federal's largest institutional client's portfolio, Green contacts the client and recommends selling all of his existing technology stocks and buying two of the upcoming IPOs, similar to the recommendation given to Federal's portfolio managers. Green's research has allowed him to conclude that only these two IPOs would be appropriate for this particular client's portfolio. Investing in these IPOs and selling the current technology holdings would, according to Green, "double the returns that your portfolio experienced last year." Federal Securities has recently hired Dirks Bentley, a CFA candidate who has passed Level 2 and is currently preparing to take the Level 3 CFA® exam, to reorganize Federal's compliance department.
Bentley tells Green that he may be subject to CFA Institute sanctions due to inappropriate contact between analysts and investment bankers within Federal Securities. Bentley has recommended that Green implement a firewall to rectify the situation and has outlined the key characteristics for such a system.
Bentley's suggestions are as follows:
1. Any communication between the departments of Federal Securities must be channeled through the compliance department for review and eventual delivery. The firm must create and maintain watch, restricted, and rumor lists to be used in the review of employee trading.
2. All beneficial ownership, whether direct or indirect, of recommended securities must be disclosed in writing.
3. The firm must increase the level of review or restriction of proprietary trading activities during periods in which the firm has knowledge of information that is both material and nonpublic.
Bentley has identified two of Green's analysts, neither of whom have non-compete contracts, who are preparing to leave Federal Securities and go into competition. The first employee, James Ybarra, CFA, has agreed to take a position with one of Federal's direct competitors. Ybarra has contacted existing Federal clients using a client list he created with public records. None of the contacted clients have agreed to move their accounts as Ybarra has requested. The second employee, Martha Cliff, CFA, has registered the name Cliff Investment Consulting (CIC), which she plans to use for her independent consulting business.
For the new business venture, Cliff has developed and professionally printed marketing literature that compares the new firm's services to that of Federal Securities and highlights the significant cost savings that will be realized by switching to CIC. After she leaves Federal, Cliff plans to target many of the same prospects that Federal Securities is targeting, using an address list she purchased from a third-party vendor. Bentley decides to call a meeting with Green to discuss his findings.
After discussing the departing analysts. Green asks Bentley how to best handle the disclosure of the following items: (1) although not currently a board member. Green has served in the past on the board of directors of a company he researches and expects that he will do so again in the near future; and (2) Green recently inherited put options on a company for which he has an outstanding buy recommendation.
Bentley is contemplating his response to Green.
Which of BentJey's recommendations regarding the key characteristics of a firewall are inconsistent with those recommended by CFA Institute Standards of Professional Conduct?
A. Characteristic 2.
B. Characteristic 1.
C. Characteristic 3.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
While disclosures such as the one detailed in Characteristic 2 are required by CFA Institute Standards of Professional Conduct, this disclosure has nothing to do with restricting information How between different departments and is not one of the minimum requirements of a firewall as laid out by Standard 11(A) Material Nonpublic Information. The minimum elements include control of interdepartmental communication through a clearance area such as the compliance or legal department; use of restricted, watch, and rumor lists to review employee trades; documentation of procedures that restrict information sharing between departments and of enforcement of such procedures; and heightened review of proprietary trading during periods in which the firm has knowledge of material nonpublic information.
(Study Session 1, LOS 2.a)

NEW QUESTION: 4
外部監査は、プロジェクトが予定より6〜12か月遅れていると結論付けています。プロジェクトマネージャーとプロジェクトチームは同意しますプロジェクトマネージャーは次に何をすべきですか？
A. 作業分解図（WBS）を改訂します。
B. 変更要求プロセスを開始します。
C. リスクレジスタを更新します。
D. 新しいプロジェクトスケジュールのベースラインを設定します。
Answer: C