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NEW QUESTION: 1
Which of the following initiatives and schemes should be undertaken as a formal project?
Select ALL that apply.
A. Managing a national political campaign prior to an election.
B. A boat building company building motor yachts for a small market, generally building about three per month.
C. The design and launch of a new online order service for a global manufacturing company.
D. A head office relocation for an insurance company, involving the move to a new office for 250 staff.
E. A long term health initiative which will put in place procedures to immunize every child in a country as they reach the age of three.
Answer: A,C,D

NEW QUESTION: 2
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

NEW QUESTION: 3
In the realm of artificial intelligence, how has deep learning enabled greater implementation of machine learning?
A. By using algorithmic approaches such as decision tree learning and inductive logic programming.
B. By increasing the size of neural networks and running massive amounts of data through the network to train it.
C. By using hand-coded classifiers like edge detection filters so that a program can identify where an object starts and stops.
D. By hand coding software routines with a specific set of instructions to accomplish a task.
Answer: B