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NEW QUESTION: 1
Which of the following belong to the family of generalized extreme value distributions:
I. Frechet
II. Gumbel
III. Weibull
IV. Exponential
A. All of the above
B. I, II and III
C. II and III
D. IV
Answer: B
Explanation:
Explanation
Extreme value theory focuses on the extreme and rare events, and in the case of VaR calculations, it is focused on the right tail of the loss distribution. In very simple and non-technical terms, EVT says the following:
1. Pull a number of large iid random samples from the population,
2. For each sample, find the maximum,
3. Then the distribution of these maximum values will follow a Generalized Extreme Value distribution.
(In some ways, it is parallel to the central limit theorem which says that the the mean of a large number of random samples pulled from any population follows a normal distribution, regardless of the distribution of the underlying population.) Generalized Extreme Value (GEV) distributions have three parameters: (shape parameter), (location parameter) and (scale parameter). Based upon the value of , a GEV distribution may either be a Frechet, Weibull or a Gumbel. These are the only three types of extreme value distributions.
NEW QUESTION: 2
CLI接続のあるファブリック内の2つのSN6000スイッチのファームウェアをアップグレードしています。最初のスイッチでアップグレードがアクティブになるのを待たずに、2番目のスイッチへのファームウェアのインストールを開始しました。
2番目のスイッチにファームウェアをインストールするにはどうすればよいですか？
A. 最初のスイッチでホットリセットを実行して、2番目のスイッチでインストールを開始します
B. 最初のスイッチがアクティブになった後、2番目のスイッチでホットリセットを実行します
C. 2番目のスイッチのファームウェアを更新する前に、最初のスイッチのアップグレードを再度アクティブ化します
D. 2番目のスイッチにファームウェアをインストールする前に、最初のスイッチに接続されているデバイスを再初期化します
Answer: B
NEW QUESTION: 3
Random prefixes on folders in S3 ensure higher throughput on read and write in S3.
Choose the correct answer:
A. True
B. False
Answer: A
Explanation:
If you introduce some randomness in your key name prefixes, the key names, and therefore the I/O load, will be distributed across more than one partition. If you anticipate that your workload will consistently exceed 100 requests per second, you should avoid sequential key names. If you must use sequential numbers or date and time patterns in key names, add a random prefix to the key name. The randomness of the prefix more evenly distributes key names across multiple index partitions. Examples of introducing randomness are provided later in this topic.
Reference:
http://docs.aws.amazon.com/AmazonS3/latest/dev/request-rate-perf-considerations.html