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NEW QUESTION: 1
Donaghy Management Company (DMC) manages several funds only available to high net worth individuals. In preparation for an upcoming meeting, the firm has circulated among its managers the information in Figure 1 on objectives and market expectations relevant to each of three funds.
Figure 1: Fund Strategies and Market Expectations

The manager of Fund A has collected data on put and call options on the broad market index underlying his strategy. The option data are presented in Figure 2. All options presented have the same expiration date.
Figure 2: Option Data for the Broad Market Index

During the meeting, the manager of Fund B states that in order to enhance returns for the fund, he intends to implement a box-spread strategy. The manager explains the strategy by stating, "The ending price of the asset underlying the box-spread strategy has no impact on the payoff of the strategy.
Thus, if the market price of the strategy implies a rate of return greater than the risk-free rate, an arbitrage opportunity exists." Also during the meeting, DMC's president questioned the manager of Fund C about the mechanics of his hedging strategy. The manager explained the strategy with the following comments:
Comment 1: "The hedge position is established to reduce the exposure to certain equity positions by writing call options on those equity positions. The necessary number of short option positions per share of stock held is calculated as the inverse of the option delta." Comment 2: "The hedge position only requires adjusting in the event of a price or volatility change in the underlying and is effective for small changes in the price of the underlying security." Determine whether the comments made by the manager of Fund C with respect to determining the hedge position and adjusting the hedge position are correct.
A. Both Comment 1 and Comment 2 are correct.
B. Only Comment 2 is correct.
C. Only Comment 1 is correct.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The manager of Fund C is correct regarding the method of determining the delta hedge position (Comment
1), but is not correct regarding adjustments to the delta hedge position (Comment 2). In a delta hedge, a short position in call options is offset with a long position in the underlying security (or vice versa). The delta of the option is used as the hedge ratio and is approximately equal to the change in option price divided by the change in the price of the underlying security. The number of shares of stock to purchase to establish the delta hedged position is calculated as:
#Short Call Options x Option Delta = #Shares to Purchase
Rearranging the equation, we see that the option delta can be thought of as the number of shares to purchase per call option sold short.
Option Delta = #Shares to Purchase / #Short Call Options
Since Fund C already holds positions in the shares of the underlying securities, the manager will need to write the call options. We can rearrange the equation above one more time to determine that the number of call options to short per share of the underlying held is equal to the inverse of the option delta.
#Short Call Options / #Shares to Purchase = 1 / Option Delta
The delta of a call option will change in response to a change in any of the variables affecting the option value (i.e., volatility, time, price of the underlying, etc.). Any time the delta of the option changes, the delta hedge must be adjusted. In addition, the hedge is an approximation and is only effective for small changes in the price of the underlying security. (Study Session 15, LOS 43-d)

NEW QUESTION: 2
조직의 복잡한 건설 프로젝트를 관리하고 있습니다. 자원 관리 계획의 일부로 자원이 일정 기간 동안 작동하도록 예약 된 시간을 나타내는 막대 도표를 작성합니다. 이 차트는 다음과 같이 알려져 있습니다.
A. 관리도
B. 자원 분석 구조
C. 자원 달력
D. 리소스 히스토그램
Answer: D

NEW QUESTION: 3
Refer to exhibit.

Customer has a pair of Cisco Nexus7010s switches and connected to a single Cisco Nexus5548 switch via vPC. Customer has a combination of M1 and F1 I/O Modules in Cisco Nexus7010s.
Why is the design described not supported?
A. Need to add another Cisco Nexus5548 switch to the topology to make this work.
B. vPC does not support split control plane
C. You can not configure a vPC peer link to configure two devices as vPCs
D. Mixing I/O Modules on the Same Side of a Peer Link is not supported
Answer: D

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services.
The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
End of repeated scenario.
You plan to share the Machine Learning workspace with the other users.
You are evaluating whether to assign the User role or the Owner role to several of the users.
Which three actions can be performed by the users who are assigned the User role? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Invite users to the workspace.
B. Create, open, modify, and delete web services.
C. Create, open, modify, and delete experiments.
D. Delete users from the workspace.
E. Access notebooks.
F. Create, open, modify, and delete datasets.
Answer: B,C,F
Explanation:
Explanation/Reference:
Explanation:
Once a Machine Learning workspace is created, you can invite users to your workspace and share access to your workspace and all of its experiments. We support two roles of users:
User - A workspace user can create, open, modify and delete datasets, experiments and web services

in the workspace.
Owner - An owner can invite, remove, and list users with access to the workspace, in addition to what a

user can do. He/she also have access to Notebooks.
References: https://github.com/anthonychu/azure-content/blob/master/articles/machine-learning/machine- learning-create-workspace.md