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NEW QUESTION: 1
現在、DevOpsプロセスの一部としてJIRA、Jenkins、およびOctopusを使用しています。
これらのツールに代わるものとしてAzure DevOpsを使用する予定です。
各ツールを置き換えるためにどのAzure DevOpsサービスを使用する必要がありますか？ 回答するには、回答領域で適切なオプションを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
JIRA: Release pipelines
Atlassian's Jira Software is a popular application that helps teams to plan, track, and manage software releases, whereas Octopus Deploy helps teams automate their development and operations processes in a fast, repeatable, and reliable manner. Together, they enable teams to get better end-to-end visibility into their software pipelines from idea to production.
Jenkins: Repos
One way to integrate Jenkins with Azure Pipelines is to run CI jobs in Jenkins separately. This involves configuration of a CI pipeline in Jenkins and a web hook in Azure DevOps that invokes the CI process when source code is pushed to a repository or a branch.
Octopus: Build pipelines
References:
https://octopus.com/blog/octopus-jira-integration
https://www.azuredevopslabs.com/labs/vstsextend/jenkins/
NEW QUESTION: 2
Ann, a college professor, was recently reprimanded for posting disparaging remarks re-grading her coworkers on a web site. Ann stated that she was not aware that the public was able to view her remakes. Which of the following security-related trainings could have made Ann aware of the repercussions of her actions?
A. Use of social networking
B. Data Labeling and disposal
C. Role-based training
D. Use of P2P networking
Answer: A
NEW QUESTION: 3
The use of a seasonal index as a forecasting technique measures the ratio of the:
A. average demand for all periods to the average seasonal demand.
B. average seasonal demand to the average demand for all periods.
C. standard deviation of the seasonal demand to the standard deviation of demand for all periods.
D. average seasonal demand to the standard deviation of the demand for all periods.
Answer: B
NEW QUESTION: 4
Which of the following need to be assumed to convert a transition probability matrix for a given time period to the transition probability matrix for another length of time:
I. Time invariance
II. Markov property
III. Normal distribution
IV. Zero skewness
A. I, II and IV
B. III and IV
C. I and II
D. II and III
Answer: C
Explanation:
Explanation
Time invariance refers to all time intervals being similar and identical, regardless of the effects of business cycles or other external events. The Markov property is the assumption that there is no ratings momentum, and that transition probabilities are dependent only upon where the rating currently is and where it is going to.
Where it has come from, or what the past changes in ratings have been, have no effect on the transition probabilities.
Rating agencies generally provide transition probability matrices for a given period of time, say a year. The risk analyst may need to convert these into matrices for say 6 months, 2 years or whatever time horizon he or she is interested in. Simplifying assumptions that allow him to do so using simple matrix multiplication include these two assumptions - time invariance and the Markov property. Thus Choice 'c' is the correct answer. The other choices (normal distribution and zero skewness) are non-sensical in this context.