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NEW QUESTION: 1
Your customer has many eliminating entries to eliminate intercompany balances. The General Ledger does not include a purpose-built Consolidation feature. How would you automate the process of creating eliminating entries, assuming your customer is not using Oracle Hyperion Financial Close Management?
A. There is no way to automate this process if the customer is not using Oracle Hyperion Financial Close Management
B. Use the spreadsheet template that is accessed from the "Create Journal in Spreadsheet" task and import the spreadsheet with the eliminating entries every period
C. Use the General Ledger's Calculation Manager to define an allocation definition to eliminate entries that you can generate every period
D. Create a manual journal that includes the eliminating entries, and then create a copy of the journal batch every period
Answer: C

NEW QUESTION: 2
プロジェクトマネージャーはどのようにしてプロジェクトチームの開発を評価できますか？
A. 各チームメンバーの個人的なスキル評価を完了する
B. 毎週のミーティングを開催して、すべてのメンバーを参加させます
C. チームのパフォーマンス評価を作成する
D. チームメンバーに表彰を授与
Answer: C

NEW QUESTION: 3
Which command would you use to deploy applications to the Cloud Foundry environment?
A. cf publish
B. cf push
C. cf apps
D. cf start
Answer: B

NEW QUESTION: 4
You need to resolve a notification latency issue.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point
A. Set Always On to false
B. Ensure that the Azure Function is using an App Service plan.
C. Ensure that the Azure Function is set to use a consumption plan.
D. Set Always On to true.
Answer: B,D
Explanation:
Explanation
Azure Functions can run on either a Consumption Plan or a dedicated App Service Plan. If you run in a dedicated mode, you need to turn on the Always On setting for your Function App to run properly. The Function runtime will go idle after a few minutes of inactivity, so only HTTP triggers will actually "wake up" your functions. This is similar to how WebJobs must have Always On enabled.
Scenario: Notification latency: Users report that anomaly detection emails can sometimes arrive several minutes after an anomaly is detected.
Anomaly detection service: You have an anomaly detection service that analyzes log information for anomalies. It is implemented as an Azure Machine Learning model. The model is deployed as a web service.
If an anomaly is detected, an Azure Function that emails administrators is called by using an HTTP WebHook.
References:
https://github.com/Azure/Azure-Functions/wiki/Enable-Always-On-when-running-on-dedicated-App-Service-Pl