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NEW QUESTION: 1
Which process works with change management to ensure only authorized components are used?
A. Service asset and configuration management
B. Knowledge management
C. Financial management for IT services
D. Service portfolio management
Answer: A

NEW QUESTION: 2
A company recently experienced a DDoS attack that prevented its web server from serving content. The website is static and hosts only HTML, CSS, and PDF files that users download.
Based on the architecture shown in the image, what is the BEST way to protect the site against future attacks while minimizing the ongoing operational overhead?

A. Move all the files to an Amazon S3 bucket. Create a CloudFront distribution in front of the bucket and terminate the web server.
B. Move all the files to an Amazon S3 bucket. Have the web server serve the files from the S3 bucket.
C. Launch a second Amazon EC2 instance in a new subnet. Launch an Application Load Balancer in front of both instances.
D. Launch an Application Load Balancer in front of the EC2 instance. Create an Amazon CloudFront distribution in front of the Application Load Balancer.
Answer: B

NEW QUESTION: 3
The frequency distribution for operational risk loss events can be modeled by which of the following distributions:
I. The binomial distribution
II. The Poisson distribution
III. The negative binomial distribution
IV. The omega distribution
A. I and III
B. I, II and III
C. I, II, III and IV
D. I, III and IV
Answer: B
Explanation:
Explanation
The binomial, Poisson and the negative binomial distributions can all be used to model the loss event frequency distribution. The omega distribution is not used for this purpose, therefore Choice 'a' is the correct answer.
Also note that the negative binomial distribution provides the best model fit because it has more parameters than the binomial or the Poisson. However, in practice the Poisson distribution is most often used due to reasons of practicality and the fact that the key model risk in such situations does not arise from the choice of an incorrect underlying distribution.