Apache Ambari is used to develop a software for provisioning, managing and monitoring Hadoop Clusters. As per web analytics Apache Ambari is considered to be of three layers Core Hadoop, Essential Hadoop and Hadoop Support. Many companies are awaiting for Apache Ambari job candidates for several roles to optimize user experience on their websites using Apache Ambari. Apache Ambari job description might consists of developing a tool using the methodologies of the technology to monitor and support the clusters in Hadoop. Wisdomjobs created interview questions exclusively for the candidates who are in search of job. Do check our page for Apache Ambari interview questions to get set for the interview.
Question 1. What Are The Three Layers Where The Hadoop Components Are Actually Supported By Ambari?
Answer :
The three layers that are supported by Ambari are below:
Question 2. What Is Apache Ambari?
Answer :
The Apache Ambari is nothing but a project which is solely focused to make life simple while using Hadoop management system.
This software helps or provides comfort zone in terms of the following aspect:
Question 3. What Are The Areas Where Ambari Helps The System Administrators To Do?
Answer :
With the help of Ambari, system administrators will be able to do the following easily, they are:
Answer :
The Apache Ambari is compatible with 64-bit version and the following are the operating systems that go well with Ambari implementation:
Answer :
The latest version of Ambari that is available in the market is Ambari 2.5.2. Within, this version they have added a feature called: Cross stack upgrade support.
Question 6. What Is Repository?
Answer :
A repository is nothing but space where it hosts the software packages which can be used for download and plus install.
Answer :
The Yum is nothing but a package manager which actually fetches the software packages from the repository.
On RHEL/CentOS, typically “yum”,
ON SLES, typically “Zipper”.
Question 8. What Is A Local Repository And When It Is Useful While Using Ambari Environment?
Answer :
A local repository is nothing but a hosted space in the local environment. Usually, when the machines don't have an active internet connection or have restricted or very limited network access a local repository should be set up. With this setup, the user will be able to obtain Ambari and HDP software packages.
Question 9. How Many Types Of Ambari Repositories Are Available?
Answer :
The types of Ambari Repositories are listed below:
Question 10. What Are The Different Methods To Set Up Local Repositories?
Answer :
There are two ways to deploy the local repositories. It actually depends on your active Internet connection and based on that we can execute it.
Question 11. How To Set Up Local Repository Manually?
Answer :
This process is only used when there is no active internet connection is not available.
So to set up a local repository, please follow the below steps:
Question 12. What Are The Tools That Are Needed To Build Ambari?
Answer :
The following tools are needed to build Ambari:
Question 13. What Are The Independent Extensions That Are Contributed To The Ambari Codebase?
Answer :
The independent extensions that are contributed to the Ambari Codebase are as follows:
Question 14. Is Ambari Python Client Can Be Used To Make Good Use Of Ambari Api’s?
Answer :
Yes, Ambari Python client can be used to make good use of Ambari API’s.
Question 15. What Is The Process Of Creating Ambari Client?
Answer :
The following code will do help you to create an Ambari client:
from ambari_client.ambari_api import AmbariClient
headers_dict={'X-Requested-By':'mycompany'} #Ambari needs X-Requested-By header
client = AmbariClient("localhost", 8080, "admin", "admin", version=1,http_header=headers_dict)
print client.version
print client.host_url
print"n"
Question 16. How Can We See All The Clusters That Are Available In Ambari?
Answer :
all_clusters = client.get_all_clusters()
print all_clusters.to_json_dict()
print all_clusters
Question 17. How Can We See All The Hosts That Are Available In Ambari?
Answer :
all_hosts = client.get_all_hosts()
print all_hosts
print all_hosts.to_json_dict()
print"n"
Question 18. What Does Ambari Shell Can Provide?
Answer :
The Ambari shell can provide an interactive and handy command line tool which actually supports the following:
Question 19. What Are The Core Benefits For Hadoop Users By Using Apache Ambari?
Answer :
The Apache Ambari is a great gift for individuals who use Hadoop in their day to day work life.
With the use of Ambari, Hadoop users will get the core benefits:
Question 20. What Are The Different Life Cycle Commands In Ambari?
Answer :
The Ambari has a defined life cycle commands and they are as follows:
Question 21. What Are The Tools That Are Used In Ambari Monitoring?
Answer :
Ambari Monitoring tools actually use two different open source projects for its monitoring purposes,
they are as follows:
Question 22. What Is Ganglia Is Used For In Ambari?
Answer :
It is one of the tools that is used in Ambari, it is mainly used for the following purpose:
Question 23. What Is Nagios Is Used In Ambari?
Answer :
It is one of the tools that is used in Ambari, it is mainly used for the following purpose:
Answer :
The other components of Ambari that are imported for Automation and Integration are actually divided into three pieces of information:
Actually, Ambari is built from scratch to make sure that it deals with Automation and Integration problems carefully.
Question 25. In Which Language Is The Ambari Shell Is Developed?
Answer :
The shell is developed in Java and it actually based on Ambari REST client and the spring shell framework.
Question 26. Before Deploying The Hadoop Instance, What Are The Checks That An Individual Should Do?
Answer :
The following is the list of items that need to be checked before actually deploying the Hadoop instance:
Answer :
The following are the commands that are used to do the following activities:
To start the Ambari server
ambari-server start
To check the Ambari server processes
ps -ef | grep Ambari
To stop the Ambari server
ambari-server stop
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