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NEW QUESTION: 1

A. Option A
B. Option B
C. Option D
D. Option C
Answer: B

NEW QUESTION: 2
You are the office manager for a plumbing company. According to customer feedback, technicians are showing up late and are taking a very long time on service calls. You want to research the matter further.
You need a report that displays the number of service activities by owner. Which report should you use?
A. Progress Against Goals report
B. Service Activity Volume report
C. Account Service Overview report
D. Case Summary Table report
Answer: B
Explanation:
Ref:http://www.powerobjects.com/blog/2010/10/12/service-scheduling-part-3-of-3-formicrosoft-dynamics-crm/

NEW QUESTION: 3
複数の開発者と顧客の間で共有されるA）ソリューションを構築する必要があります。
単一のユーザーエクスペリエンス内で、コードの記述、コードのホスト、およびランタイムのドキュメント化を計画します。
ソリューションをホストする環境を構築します。
次に、どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API.
To create a notebook
* Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook.
Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook's primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html
https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook