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NEW QUESTION: 1
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.
Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers
A. Use selection binding in the filters section of the step "Region_1."
B. Enable the option "Apply filters from faceting" in the step "Region_1."
C. Use selection binding in the filters section of the step "Step_pie_1."
D. Enable the option "Apply filters from faceting" in the step "Step_pie_1."
Answer: C,D
NEW QUESTION: 2
Your customer wants to see the competencies in the Career Worksheet. Where do the competencies originate?
A. Development Plan
B. Future Role
C. Current Role
D. Suggested Role
Answer: C
NEW QUESTION: 3
新しいAzureサブスクリプションを作成します。サブスクリプションではリソースはプロビジョニングされません。
Azure MachineLearningワークスペースを作成する必要があります。
この目標を達成するための3つの可能な方法は何ですか？それぞれの正解は完全な解決策を提示します。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. Azure ML SDKライブラリを使用し、name、subscription_id、およびresource_groupパラメーターを指定してWorkspace.getメソッドを呼び出すPythonコードを実行します。
B. Microsoft.MachineLearningServices /ワークスペースリソースとその依存関係を含むAzureリソース管理テンプレートを使用します。
C. Azure ML SDKライブラリを使用し、name、subscription_id、resource_group、locationパラメーターを指定してWorkspace.createメソッドを呼び出すPythonコードを実行します。
D. Azure Machine Learning Studioに移動し、ワークスペースを作成します。
E. Azure MachineLearning拡張機能を備えたAzureコマンドラインインターフェイス（CLI）を使用して、-nameおよび--locationパラメーターを指定してaz group create関数を呼び出し、次に-wおよび-を指定してazmlワークスペースcreate関数を呼び出します。 gワークスペース名とリソースグループのパラメーター。
Answer: B,D,E
Explanation:
B: You can use an Azure Resource Manager template to create a workspace for Azure Machine Learning.
Example:
{"type": "Microsoft.MachineLearningServices/workspaces",
...
C: You can create a workspace for Azure Machine Learning with Azure CLI Install the machine learning extension.
Create a resource group: az group create --name <resource-group-name> --location <location> To create a new workspace where the services are automatically created, use the following command: az ml workspace create -w <workspace-name> -g <resource-group-name> D: You can create and manage Azure Machine Learning workspaces in the Azure portal.
Sign in to the Azure portal by using the credentials for your Azure subscription.
In the upper-left corner of Azure portal, select + Create a resource.
Use the search bar to find Machine Learning.
Select Machine Learning.
In the Machine Learning pane, select Create to begin.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-workspace-template
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace-cli
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace
NEW QUESTION: 4
nice -5 / usr / bin / prog
A. Option C
B. Option A
C. Option B
D. Option D
Answer: C