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Vendor: Salesforce

Exam Code: Analytics-Con-301 Dumps

Questions and Answers: 104

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NEW QUESTION: 1
Your team is responsible for an AWS Elastic Beanstalk application.
The business requires that you move to a continuous deployment model, thus releasing updates to the application multiple times per day with zero downtime.
What should you do to enable this and still be able to roll back to the previous version almost immediately in an emergency?
A. Create a second Elastic Beanstalk environment that runs the new application version, and swap the environment CNAMEs
B. Create a second Elastic Beanstalk environment with the new application version, and configure the old environment to use the HTTP 301 response code to redirect clients to the new environment.
C. Configure the application to poll for a new application version in your code repository; download and install the new version to each running Elastic Beanstalk instance.
D. Enable roiling updates in the Elastic Beanstalk environment and set an appropriate pause time for application startup.
Answer: A

NEW QUESTION: 2

A. Option B
B. Option F
C. Option D
D. Option E
E. Option A
F. Option C
Answer: A,C,F
Explanation:


NEW QUESTION: 3
クラウドでの電子情報開示に関して、最もやりがいのあるのは次のうちどれですか。
A. データ所有者、コントローラー、プロセッサーなどの役割の識別
B. 法医学分析
C. データストレージの分散
D. 国際法の複雑さ
Answer: B
Explanation:
Forensic analysis is the least challenging of the answers provided as it refers to the analysis of data once it is obtained. The challenges revolve around obtaining the data for analysis due to the complexities of international law, the decentralization of data storage or difficulty knowing where to look, and identifying the data owner, controller, and processor.

NEW QUESTION: 4
Which of the following distributions is generally not used for frequency modeling for operational risk
A. Poisson
B. Binomial
C. Negative binomial
D. Gamma
Answer: D
Explanation:
Explanation
Frequency modeling is performed using discrete distributions that have a positive integer as a resultant - this allows for the number of events per period of time to be modeled. Of the distributions listed above, Poisson, negative binomial and binomial can be used for modeling frequency distributions. The Poisson and negative binomial distributions are encountered the most in practice.
The gamma distribution is a continuous distribution and cannot be used for frequency modeling.


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