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Apache Flume Online Assessment test

Topics Covered

Streaming Data, Unit of Data, Flume Agent, HDFS Locations, Source, Sink, Decorator

Useful for hiring

Hadoop DBA (Flume)
Big Data Developer

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Test details:

Flume Pre hiring Test enables employers and recruiters to identify potential hires by evaluating working skills and job readiness. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.

Test Details: 20 minutes

15 Application Questions

05 Theory Questions

The combination of Application and Theory questions helps to evaluate Technical as well as practical Skills of Candidates

Test description:

Flume Test assists employers in evaluating the job skills of flume developer before an interview. Flume is one of the available services which is efficiently used for collecting and moving large amounts of log data. It is designed in such a way that it copies streaming data from various web servers. Using Flume, we can store it in any centralized stores such as HDFS and HBase. The Apache Flume Online Test is specially designed to check application and practical skills of a Flume developer – as per Industry Standards.

Flume Assessment Test contains questions on following Topics:

Streaming Data
Unit of Data
Flume Agent
HDFS Locations
Source
Sink
Decorator

Apache Flume Interview Test is designed by our subject matter experts to evaluate the job skills of applicant and their knowledge of Flume. Using powerful reporting, you can have a detailed analysis of the test results to help you make a better hiring decision and predict the candidate’s performance.

The test contains MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, True or False.

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What is the purpose of this command?
bin/flume-ng avro-client -H localhost -p 41414 -F /usr/logs/log.10

- send the contents of /usr/logs/log.10 to the Flume source listening on that ports with Avro client
- send the contents of /usr/logs/log.10 to the Flume source listening on that ports with Avro server
- send the contents of /usr/logs/log.10 to the HDFS
- send the contents of /usr/logs/log.10 to the datanode

Assume we have code snippet, what is the purpose of code?

// Setup properties for the load balancing
Properties props = new Properties();
props.put("client.type", "default_loadbalance");
// List of hosts (space-separated list of user-chosen host aliases)
props.put("hosts", "h1 h2 h3");
// host/port pair for each host alias
String host1 = "hoang.ngo.org:41414";
String host2 = "hoang.ngo.org:41414";
String host3 = " hoang.ngo.org:41414";
props.put("hosts.h1", host1);
props.put("hosts.h2", host2);
props.put("hosts.h3", host3);
props.put("host-selector", "random"); // For random host selection
// props.put("host-selector", "round_robin"); // For round-robin host
// // selection
props.put("backoff", "true"); // Disabled by default.

props.put("maxBackoff", "10000"); // Defaults 0, which effectively
// becomes 30000 ms

// Create the client with load balancing properties
RpcClient client = RpcClientFactory.getInstance(props);

- For scale out host in Flume
- For load balancing RPC client
- For high availability of Flume
- None of the mentioned

Which property in Thrift source of Flume to provide the keytab location used by the Thrift Source in combination with the agent-principal to authenticate to the kerberos KDC?

- Agent-keytab
- Keytab-Agent
- Agent-principal
- Principal-Agent

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