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NEW QUESTION: 1
Which blades and or features are not supported in R80?
A. Identity Awareness
B. SmartEvent Maps
C. SmartConsole Toolbars
D. SmartEvent
Answer: B

NEW QUESTION: 2
Who owns the program?
A. Project manager
B. Program manager
C. Program sponsor
D. Program director
Answer: D

NEW QUESTION: 3
Which statement regarding the routing functions of the Cisco ASA is true running software version 9.2?
A. The translations table cannot override the routing table for new connections
B. The ASA supports policy-based routing with route maps
C. In a failover pair of ASAs, the standby firewall establishes a peer relationship with OSPF neighbors
D. Routes to the Null0 interface cannot be configured to black-hole traffic
Answer: A

NEW QUESTION: 4
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