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NEW QUESTION: 1
Which of the following utilities can be used in Linux to view a list of users' failed authentication attempts?
A. killlog
B. wronglog
C. faillog
D. badlog
Answer: C
Explanation:
var/log/faillog - This Linux log fi le contains failed user logins. You'll find this log useful when tracking attempts to crack into your system.
/var/log/apport.log This log records application crashes. Sometimes these can reveal attempts to compromise the system or the presence of a virus or spyware.

NEW QUESTION: 2
What can return a result on an output pin?
A. BroadcastSignalOperation
B. AddVariableValueAction
C. SendObjectAction
D. CallBehaviorAction
E. DestroyObjectAction
Answer: D

NEW QUESTION: 3
The cluster ha modify -configured true command will trigger which two actions? (Choose two.)
A. The storage can failover from one node to the other.
B. The ability for the nodes in an HA pair to execute an auto-giveback.
C. SVM failover from any node in the cluster to any other node.
D. The ability for the hosts connected to a node to failover to another HA pair.
Answer: A,D

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

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