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NEW QUESTION: 1
Refer to the exhibit.

Which two actions does this Python code perform with the Cisco ACI? (Choose two.)
A. It creates an EPG "DevNet_EPG" inside AppProfile "DevNet_App" located in ACI tenant
"DevNet_Tenant" and link the EPG with BridgeDomain "DevNet_BD".
B. It creates a subnet "DevNet_Subnet" inside VRF "DevNet_VRF" located in ACI tenant
"DevNet_Tenant" and sets the network address to "10.10.10.1/24".
C. It creates a subnet "DevNet_Subnet" inside VRF "DevNet_VRF" located in ACI tenant
"DevNet_Tenant" and sets the scope to "private".
D. It creates an EPG "DevNet_EPG" inside VRF "DevNet_VRF" located in ACI tenant "DevNet_Tenant" and link the EPG with BridgeDomain "DevNet_BD".
E. It creates a subnet "DevNet_Subnet" inside AppProfile "DevNet_App" located in ACI tenant
"DevNet_Tenant" and sets the network address to "10.10.10.1/24".
Answer: A,B

NEW QUESTION: 2
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
* Data scientists must build notebooks in a cloud environment
* Data scientists must use automatic feature engineering and model building in machine learning pipelines.
* Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
* Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html

NEW QUESTION: 3
Ihr Unternehmen verfügt über einen Computer mit dem Namen Computer1, auf dem Windows 10 Pro ausgeführt wird.
Das Unternehmen entwickelt eine proprietäre UWP-App (Universal Windows Platform) mit dem Namen App1. App1 ist mit einem Zertifikat einer vertrauenswürdigen Zertifizierungsstelle (CA) signiert.
Sie müssen App1 auf Computer1 seitlich laden.
Was tun? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Reference:
https://www.windowscentral.com/how-enable-windows-10-sideload-apps-outside-store
https://docs.microsoft.com/en-us/windows/application-management/sideload-apps-in-windows-10

NEW QUESTION: 4
An identity feed design for IBM Security Identity Manager (ISIM) makes use of IBM Tivoli
Directory Integrator (ITDI) on Windows. What could be used to schedule the identity feed?
A. Use the scheduler in WebSphere Application Server.
B. Use the scheduler in IBM HTTP Server.
C. Use Windows Scheduler.
D. Setup cron job.
Answer: B