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Exam Code: AWS-Developer Dumps

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NEW QUESTION: 1
What debug file would you check to see what IKE version is being used?
A. vpnd.elg
B. debug.txt
C. fwpnd.elg
D. vpn.txt
Answer: A

NEW QUESTION: 2
A company is planning an upgrade from vSphere 4.x to vSphere 5. They currently have three dual CPU servers licensed for ESXi 4.1 Advanced
Each server has 256GB of RAM installed.
Their virtual machines are sized three ways. Light. 1v CPU, 4GB RAM Medium. 2v CPU, 8GB RAM Heavy. 4 vCPU, 12GB RAM
The Production workload consists of. 20 Light servers 20 Medium servers 2 Heavy servers
The Development workload consists of. 10 Light servers 10 Medium servers
How will vSphere 5 licensing impact their upgrade? (Choose two.)
A. A license upgrade will be needed to add vCPUs to the Heavy servers.
B. They will be restricted from powering on additional virtual machines.
C. They will be able to reduce their power consumption.
D. They will need to purchase additional ESXi licenses.
Answer: B,C
Explanation:
Reference:http://www.gabesvirtualworld.com/vsphere-5-licensing-with-vram-isn%E2%80%99tthat-bad-at-all/

NEW QUESTION: 3
Maurice Taylor, CFA, FRM, is responsible for managing risk in his firm's commodity portfolios. Taylor has extensive experience in the risk management field and as a result has been appointed the task of mentoring entry-level employees. Steven Jacobs is a newly hired Financial Analyst who has been assigned to research the company's risk management process. To verify the accuracy of his findings he consults Taylor. Taylor agrees to thoroughly review Jacobs* findings and volunteers to contribute his knowledge to enhance any part of the report that mentions Taylor's department.
A week later Jacobs, submits his report to his supervisor without reading Taylor's suggestions. Some excerpts from the report are as follows;
* "Many portfolio managers use a ratio that compares the average alpha to the standard deviation of alpha to measure risk-adjusted performance. This ratio can be used to rank their ability to generate excess returns on a consistent basis."
"The main difference between risk governance and risk budgeting is that risk governance is concerned with policies and standards, whereas risk budgeting is concerned with allocating risk."
* "In an ERM system individual portfolio managers are charged with measuring, managing, and monitoring their portfolio risk as well as determining their optimal amount of capital at risk. With this information upper management gains a better overall picture of the firm's risk."
* "The two general categories of risk are financial and non-financial risks. Financial risks include market risk and credit risk. Non-financial risks include settlement risk, regulatory risk, model risk, liquidity risk, operations risk, and political risk." Jacobs' supervisor thanks him for the report and assigns him the next task of researching the firm's VAR calculation methodologies. His supervisor is wondering if the firm should switch to the Monte Carlo Method from the Historical Method. Jacobs again decides to consult Taylor for his expertise. Taylor agrees that using the Monte Carlo Method would be useful since it incorporates returns distributions rather than single point estimates of risk and return- This may be appropriate for Taylor's portfolios since commodity returns can exhibit skewed distributions. Taylor, however, informs Jacobs that there are also advantages to using historical VAR including that it is based on modern portfolio theory (MPT).
Jacobs uses the firm's small cap value portfolio to illustrate the calculation of VAR. The value of the portfolio is $140 million and it has an annual expected return of 12.10%. The annual standard deviation of returns is 18.20%. Assuming a standard normal distribution, 5% of the potential portfolio values are more than 1.65 standard deviations below the expected return.
Jacobs completes his research report on VAR by adding an appendix section on extensions of VAR. He states that one extension that can be particularly valuable in risk management measures the impact of a single asset on the portfolio VAR. This measure captures the effects of the correlations of the individual assets on the overall portfolio VAR.
In the first statement in his research report, Jacobs is most likely describing the:
A. RoMAD ratio.
B. Sortino ratio.
C. information ratio.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The information ratio is calculated as average excess return (alpha) divided by the standard deviation of alpha (a.k.a. tracking error, active risk, or tracking risk). The information ratio shows nor only the managers ability to generate alpha, but his or her ability to consistently generate alpha. The greater the volatility of alpha compared to the average alpha, the less consistent the manager's performance. That is, as the information ratio decreases, the distribution of the manager's alpha increases (i.e., widens) relative to his average alpha. As the distribution of alpha increases the probability of a zero or negative alpha in any single measurement period increases. A higher information ratio, therefore, generally indicates a superior ability to consistently generate alpha over time. (Study Session 17, LOS 47.p)

NEW QUESTION: 4
Match the types of data to the appropriate Azure data services.
To answer, drag the appropriate data types from the column on the left to its service on the right. Each data type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:
Explanation:

Explanation

Box 1: Image files
Azure Blob storage is suitable for image files.
Box 2:Key/value pairs
Azure CosmosDB table API is a key-value storage hosted in the cloud.
Box 3: Relationship between employees
One-to-many relationships between business domain objects occur frequently: for example, one department has many employees. There are several ways to implement one-to-many relationships in the Azure Table service.


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