Top Ambari Interview Questions and Answers

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Today, we will see part 2 of top Ambari Interview Questions and Answers. This part contains technical and practical Interview Questions of Ambari, designed by Ambari specialist.

If you are preparing for Ambari Interview then you must go through both parts of Ambari Interview Questions and answers. These all are researched questions which will definitely help you to move ahead.

Still, if you face any confusion in these frequently asked Ambari Interview Questions and Answers, we have provided the link of the particular topic.

Best Ambari Interview Questions and Answers

Following are the most asked Ambari Interview Questions and Answers, which will help both freshers and experienced. Let’s discuss these questions and answers for Apache Ambari –

Que 1. What are the purposes of using Ambari shell?

Ans. Ambari Supports:

  • All the functionalities which are available through Ambari web-app.
  • It supports the context-aware availability of commands.
  • completion of a tab.
  • Also, offers optional and required parameter support.

Que 2. What is the required action you need to perform if you opt for scheduled maintenance on the cluster nodes?

Ans. Especially, for all the nodes in the cluster, Ambari offers Maintenance mode option. Hence before performing maintenance, we can enable the maintenance mode of Ambari to avoid alerts.

Que 3. What is the role of “ambari-qa” user?

Ans. ‘ambari-qa’ user account performs a service check against cluster services that are created by Ambari on all nodes in the cluster.

Que 4. Explain future growth of Apache Ambari?

Ans. We have seen the massive usage of data analysis which brings huge clusters in place, due to increasing demand for big data technologies like Hadoop.

Hence, more visibility companies are leaning towards the technologies like Apache Ambari, for better management of these clusters with enhanced operational efficiency.

In addition, HortonWorks is working on Ambari to make it more scalable. Thus, gaining knowledge of Apache Ambari is an added advantage with Hadoop also.

Que 5. State some Ambari components which we can use for automation as well as integration?

Ans. Especially, for automation and Integration, components of Ambari which are imported are separated into three pieces, such as:

  1. Ambari Stacks
  2. Blueprints of Ambari
  3. Ambari API

However, to make sure that it deals with automation and integration problems carefully, Ambari is built from scratch.

Que 6. In which language is the Ambari Shell is developed?

Ans. In Java language, Ambari shell is developed. Moreover, it is based on Ambari REST client as well as the spring shell framework.

Que 7. State benefits of Hadoop users by using Apache Ambari.

Ans. We can definitely say, the individuals who use Hadoop in their day-to-day work life, the Apache Ambari is a great gift for them.  So, benefits of Apache Ambari:

  1. Simplified Installation process.
  2. Easy Configuration and management.
  3. Centralized security setup process.
  4. Full visibility in terms of Cluster health.
  5. Extendable and customizable.

Que 8. Name some independent extensions that contribute to the Ambari codebase?

Ans. They are:
1. Ambari SCOM Management Pack
2. Apache Slider View

Ambari Interview Questions and Answers for freshers – Q. 1,2,4,6,7,8

Ambari Interview Questions and Answers for experienced – Q. 3,5

Que 9. Can we use Ambari Python Client to use of Ambari API’s?

Ans. Yes.

Que 10. What is the process of creating an Ambari client?

Ans. To create an Ambari client, the code is:

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

Que 11. How can we see all the clusters that are available in Ambari?

Ans. In order to see all the clusters that are available in Ambari, the code is:

all_clusters = client.get_all_clusters()
print all_clusters.to_json_dict()
print all_clusters

Que 12. How can we see all the hosts that are available in Ambari?

Ans. To see all the hosts that are available in Ambari, the code is:

all_hosts = client.get_all_hosts()
print all_hosts
print all_hosts.to_json_dict()

Que 13. Name the three layers, Ambari supports?

Ans. Ambari supports several layers:

  1. Core Hadoop
  2. Essential Hadoop
  3. Hadoop Support

Que 14. What are the different methods to set up local repositories?

Ans. To deploy the local repositories, there are two ways:

  1. Mirror the packages to the local repository.
  2. Else, download all the Repository Tarball and start building the Local repository

Que 15. How to set up local repository manually?

Ans. In order to set up a local repository  manually, steps are:

  1. At very first, set up a host with Apache httpd.
  2. Further download Tarball copy for every repository entire contents.
  3. However, one has to extract the contents, once it is downloaded.

Ambari Interview Questions and Answers for freshers – Q. 13,14,15

Ambari Interview Questions and Answers for experienced – Q. 10,11,12

Que 16. How is recovery achieved in Ambari?

Ans. Recovery happens in Ambari in the following ways:

  • Based on actions

In Ambari after a restart master checks for pending actions and reschedules them since every action is persisted here. Also, the master rebuilds the state machines when there is a restart, as the cluster state is persisted in the database.

While actions complete master actually crash before recording their completion, when there is a race condition. Well,  the actions should be idempotent this is a special consideration taken.

And, those actions which have not marked as complete or have failed in the DB, the master restarts them. We can see these persisted actions in Redo Logs.

  • Based on the desired state

While there is a restart the master tries to make the cluster in the live state as per the desired state as the desired state of the cluster is persisted by the master.

Que 17. How is Ambari different from ZooKeeper?

Ans. Some difference between them are:

Ambari Interview Questions and Answers

Frequently Asked Ambari Interview Questions and Answers – Ambari vs Zookeeper

  • Basic Task

a. Apache Ambari
Monitoring, provisioning and managing Hadoop cluster.
b. Apache ZooKeeper
Maintaining configuration information, naming and synchronizing of the cluster.

  • Nature

a. Apache Ambari
The Web interface
b. Apache Zookeeper
The Open-source server.

Que 18. Name some best features of Ambari.

Ans. Features are:

  • Pre-configured operational metrics
  • User-friendly configuration
  • Authentication
  • Monitoring
  • Platform independent
  • Pluggable component
  • Version management and upgrade
  • Extensibility
  • Failure recovery
  • Security

Que 19. Why Ambari?

Ans. Reasons to learn Apache Ambari are:

  1. It offers administrative Management Capabilities.
  2. Simple to Use and Learn.
  3. There are several Career Opportunities
  4. Lifecycle Management

Que 20. State some highlights of Ambari.

Ans. Key points of this technology are:

  • Instantaneous insight into the health of Hadoop cluster using pre-configured operational metrics.
  • Also, it is very easy to perform installation due to its User-friendly configuration.
  • Basically, through the Hortonworks Data Platform, we can easily install Apache Ambari.
  • Moreover, by visualizing and analyzing jobs and tasks, Dependencies and performances monitored here.
  • By installing Kerberos-based Hadoop clusters, Authentication, authorization, and auditing takes place.
  • Since it is very Flexible and adaptive technology, it is fitting perfectly in the enterprise environment.

Ambari Interview Questions and Answers for freshers – Q. 17,18,19,20

Ambari Interview Questions and Answers for experienced – Q.16

So, this was all in Ambari Interview Questions and Answers. Hope you like this.

Conclusion – Ambari Interview Questions and Answers

So, you have now completed both the parts of Apache Ambari Interview Questions. Hope this helps you. Still, if you think we miss anything, let us know through comments. Keep reading.

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