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RUCKUS Certified Networking Implementer

  • Exam Number/Code : RCNI
  • Exam Name : RUCKUS Certified Networking Implementer
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
What is the MOST common component of a vulnerability management framework?
A. Patch management
B. Risk analysis
C. Backup management
D. Threat analysis
Answer: A
Explanation:
Reference: https://www.helpnetsecurity.com/2016/10/11/effective-vulnerability-management-process/

NEW QUESTION: 2
A Windows desktop PC user states that they have sent several print jobs to their locally connected printer, yet none have printed. The printer has no error conditions on the control panel. Which of the following should the technician do FIRST in troubleshooting this problem?
A. Check if Use Printer Offline has been selected.
B. Open the printer properties page and send a test print to it.
C. Clear the print queue of all documents and resend one to test the printer.
D. Power the printer off and on and send one test document to it.
Answer: A

NEW QUESTION: 3
You are designing a solution for a company. The solution will use model training for objective classification.
You need to design the solution.
What should you recommend?
A. interactive Spark queries
B. Power BI models
C. an Azure Cognitive Services application
D. a Spark Streaming job
E. a Spark application that uses Spark MLib.
Answer: E
Explanation:
Explanation
Spark in SQL Server big data cluster enables AI and machine learning.
You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset.
MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for:
* Classification
* Regression
* Clustering
* Topic modeling
* Singular value decomposition (SVD) and principal component analysis (PCA)
* Hypothesis testing and calculating sample statistics
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython