Answer / Mukesh Kumar

Ambari supports three layers: the stack layer (handles the deployment and management of Hadoop stacks), the service layer (manages individual services within a stack), and the host layer (monitors and manages cluster hosts).

Why Ambari?

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Explain Apache Ambari architecture?

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What are the independent extensions that are contributed to the ambari codebase?

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Is ambari python client can be used to make good use of ambari api’s?

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Explain the core benefits for hadoop users by using the apache ambari?

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

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What is ganglia is used for in ambari?

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What is the feature that they have added in the latest release?

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What is the local repository and where it is useful while using ambari environment?

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Define yum?

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What are the other components of ambari that are important for automation and integration?

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Before deploying the hadoop instance, what are the checks that an individual should do?

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