Showing posts with label agent HDFS. Show all posts
Showing posts with label agent HDFS. Show all posts

November 17, 2021

Top 20 Apache Ambari interview Questions & Answers

  

Ques: 1). Describe Apache Ambari's main characteristics.

Answer:

Apache Ambari is an Apache product that was created with the goal of making Hadoop applications easier to manage. Ambari assists in the management of the Hadoop project.

  • Provisioning is simple.
  • Project management made simple
  • Monitoring of Hadoop clusters
  • Availability of a user-friendly interface
  • Hadoop management web UI
  • RESTful API support

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Ques: 2). Why do you believe Apache Ambari has a bright future?

Answer:

With the growing need for big data technologies like Hadoop, we've witnessed a surge in data analysis, resulting in gigantic clusters. Companies are turning to technologies like Apache Ambari for better cluster management, increased operational efficiency, and increased visibility. Furthermore, we've noted how HortonWorks, a technology titan, is working on Ambari to make it more scalable. As a result, learning Hadoop as well as technologies like Apache Ambari is advantageous.

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Ques: 3). 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:

1. The installation process is simplified
2. Configuration and overall management is simplified
3. It has a centralized security setup process
4. It gives out full visibility in terms of Cluster health
5. It is extensively extendable and has an option to customize if needed.

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Ques: 4). What Are The Checks That Should Be Done Before Deploying A Hadoop Instance?

Answer:

Before actually deploying the Hadoop instance, the following checklist should be completed:

  • Check for existing installations
  • Set up passwordless SSH
  • Enable NTP on the clusters
  • Check for DNS
  • Disable the SELinux
  • Disable iptables

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Ques: 5 As a Hadoop user or system administrator, why should you choose Apache Ambari?

Answer:

Using Apache Ambari can provide a Hadoop user with a number of advantages.

A system administrator can use Ambari to – Install Hadoop across any number of hosts using a step-by-step guide supplied by Ambari, while Ambari handles Hadoop installation setup.

Using Ambari, centrally administer Hadoop services across the cluster.

Using the Ambari metrics system, efficiently monitor the state and health of a Hadoop cluster. Furthermore, the Ambari alert framework sends out timely notifications for any system difficulties, like as disc space issues or node status.

 

Ques: 6). Can you explain Apache Ambari architecture?

Answer:

Apache Ambari consists of following major components-

  • Ambari Server
  • Ambari Agent
  • Ambari Web

Apache Ambari Architecture

The all metadata is handled by the Ambari server, which is made up of a Postgres database instance as indicated in the diagram. The Ambari agent is installed on each computer in the cluster, and the Ambari server manages each host through it.

An Ambari agent is a member of the host that delivers heartbeats from the nodes to the Ambari server, as well as numerous operational metrics, to determine the nodes' health condition.

Ambari Web UI is a client-side JavaScript application that performs cluster operations by regularly accessing the Ambari RESTful API. Furthermore, using the RESTful API, it facilitates asynchronous communication between the application and the server.

 

Ques: 7). Apache Ambari supports how many layers of Hadoop components, and what are they?

Answer: 

Apache Ambari supports three tiers of Hadoop components, which are as follows:

1. Hadoop core components

  • Hadoop Distributed File System (HDFS)
  • MapReduce

2. Essential Hadoop components

  • Apache Pig
  • Apache Hive
  • Apache HCatalog
  • WebHCat
  • Apache HBase
  • Apache ZooKeeper

3. Components of Hadoop support

  • Apache Oozie
  • Apache Sqoop
  • Ganglia
  • Nagios

 

Ques: 8). What different sorts of Ambari repositories are there?

Answer: 

Ambari Repositories are divided into four categories, as below:

  1. Ambari: Ambari server, monitoring software packages, and Ambari agent are all stored in this repository.
  2. HDP-UTILS: The Ambari and HDP utility packages are stored in this repository.
  3. HDP: Hadoop Stack packages are stored in this repository.
  4. EPEL (Enterprise Linux Extra Packages): The Enterprise Linux repository now includes an extra set of software.

 

Ques: 9). How can I manually set up a local repository?

Answer:

When there is no active internet connection available, this technique is used. Please follow the instructions below to create a local repository:

1. First and foremost, create an Apache httpd host.
2. Download a Tarball copy of each repository's entire contents.
3. After it has been downloaded, the contents must be extracted.

 

Ques: 10). What is a local repository, and when are you going to utilise one?

Answer:

A local repository is a hosted place for Ambari software packages in the local environment. When the enterprise clusters have no or limited outbound Internet access, this is the method of choice.

 

Ques: 11). What are the benefits of setting up a local repository?

Answer: 

First and foremost by setting up a local repository, you can access Ambari software packages without internet access. Along with that, you can achieve benefits like –

Enhanced governance with better installation performance

Routine post-installation cluster operations like service start and restart operations

 

Ques: 12). What are the new additions in Ambari 2.6 versions?

Answer:

Ambari 2.6.2 added the following features:

  • It will protect Zeppelin Notebook SSL credentials
  • We can set appropriate HTTP headers to use Cloud Object Stores with HDP
  • Ambari 2.6.1 added the following feature:
  • Conditional Installation of  LZO packages through Ambari
  • Ambari 2.6.0 added the following features:
  • Distributed mode of Ambari Metrics System’s (AMS) along with multiple Collectors
  • Host Recovery improvements for the restart
  • moving masters with minimum impact and scale testing
  • Improvement in Data Archival & Purging in Ambari Infra

 

Ques: 13). List Out The Commands That Are Used To Start, Check The Progress And Stop The Ambari Server?

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

 

Ques: 14). What all tasks you can perform for managing host using Ambari host tab?

Answer: 

Using Hosts tab, we can perform the following tasks:

  • Analysing Host Status
  • Searching the Hosts Page
  • Performing Host related Actions
  • Managing Host Components
  • Decommissioning a Master node or Slave node
  • Deleting a Component
  • Setting up Maintenance Mode
  • Adding or removing Hosts to a Cluster
  • Establishing Rack Awareness

 

Ques: 15). What all tasks you can perform for managing services using Ambari service tab?

Answer: 

Using Services tab, we can perform the following tasks:

  • Start and Stop of All Services
  • Display of Service Operating Summary
  • Adding a Service
  • Configuration Settings change
  • Performing Service Actions
  • Rolling Restarts
  • Background Operations monitoring
  • Service removal
  • Auditing operations
  • Using Quick Links
  • YARN Capacity Scheduler refresh
  • HDFS management
  • Atlas management in a Storm Environment

 

Ques: 16). Is there a relationship between the amount of free RAM and disc space required and the number of HDP cluster nodes?

Answer: 

Without a doubt, it has. The amount of RAM and disc required depends on the number of nodes in your cluster. In typically, 1 GB of memory and 10 GB of disc space are required for each node. Similarly, for a 100-node cluster, 4GB of memory and 100GB of disc space are required. To get all of the details, you'll need to look at a specific version.

 

Ques: 17). What tasks you can skill for managing services using the Ambari subsidiary bank account?

Answer: 

using the Services report, we can do the bearing in mind tasks:

  • Start and Stop of All Services
  • Display of Service Operating Summary
  • Adding a Service
  • Configuration Settings regulate
  • Performing Service Actions
  • Rolling Restarts
  • Background Operations monitoring
  • Service removal
  • Auditing operations
  • Using Quick Links
  • YARN Capacity Scheduler refresh
  • HDFS presidency
  • Atlas approach in a Storm Environment

 

Ques: 18). What is the best method for installing the Ambari agent on all 1000 hosts in the HDP cluster?

Answer: 

Because the cluster contains 1000 nodes, we should not manually install the Ambari agent on each node. Instead, we should set up a password-less ssh connection between the Ambari host and all of the cluster's nodes. To remotely access and install the Ambari Agent, Ambari Server hosts employ SSH public key authentication.

 

Ques: 19). What can I do if I have admin capabilities in Ambari?

Answer: 

Becoming a Hadoop Administrator is a difficult job. On HadoopExam.com, you can find all of the available Hadoop Admin training for HDP, Cloudera, and other platforms (visit now). You can create a cluster, manage the users in that cluster, and create groups if you are an Ambari Admin. All of these permissions are granted to the default admin user. You can grant the same or different permissions to another user even if you are an Amabari administrator.

 

Ques: 20).  How is recovery achieved in Ambari?

Answer:

Recovery happens in Ambari in the moreover ways:

Based in remarks to activities

In Ambari after a restart master checks for pending undertakings and reschedules them previously all assimilation out is persisted here. Also, the master rebuilds the come clean machines at the back there is a restart, as the cluster market is persisted in the database. While lawsuit beautifies master actually catastrophe in the in front recording their take keep busy, along amid there is a race condition. The events, on the other hand, should be idempotent, which is a unique consideration. And the master restarts any behavior that has not been marked as occurring or has failed in the database. These persistent behaviors are seen in Redo Logs.

Based approaching the desired make known

While the master attempts to make the cluster flesh and blood publicise, you will be encircled by more to in as per the intended freshen appendix, as the master persists in the desired own going in savings account to for of the cluster.