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NEW QUESTION: 1
What are theresponsibilities of a cluster leader in a cluster of Aruba Mobility Controllers (MCs)? (Choose two.)
A. To automatically load balance clients if the load across cluster members changes
B. To manage the configuration of cluster members
C. To identify primary and secondary Mobility Controllers for APs
D. To create a table to determine how a wireless client maps to a cluster member
E. Toidentify a backup cluster leader for redundancy
Answer: A,C
NEW QUESTION: 2
You are designing a solution based on the lambda architecture.
The solution has the following layers;
Batch
Speed
Serving
You are planning the data ingestion process and the query execution.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: No
Box 2: No
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.
Box 3: Yes.
We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka.
Interactive Queries allows you to get more than just processing from streaming.
Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer).
Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing), Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft Power BI for reporting and visualization (serving layer).
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 Machine Learning Studioに移動し、ワークスペースを作成します。
B. 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。
C. 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。
D. 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。
E. 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。
Answer: A,C,D
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
Ein Mitarbeiter, der wegen Missbrauchs des Internets, wie z. B. P2P-Dateifreigabe oder Video- / Audio-Streaming, strafbar ist, erhält keine Warnung für die Begehung einer solchen Handlung, sondern direkt eine IR.
A. Richtig
B. Falsch
Answer: A