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最新的 HCAHD Apache-Hadoop-Developer 免費考試真題:

1. You have user profile records in your OLPT database, that you want to join with web logs you have already ingested into the Hadoop file system. How will you obtain these user records?

A) Ingest with Flume agents
B) HDFS command
C) Pig LOAD command
D) Ingest with Hadoop Streaming
E) Hive LOAD DATA command
F) Sqoop import

2. Which one of the following files is required in every Oozie Workflow application?

A) Oozie.xml
B) Config-default.xml
C) Workflow.xml
D) job.properties

3. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.

A) There is no difference in output between the two settings.
B) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
C) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
D) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.

4. In a MapReduce job, the reducer receives all values associated with same key. Which statement best describes the ordering of these values?

A) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.
B) The values are in sorted order.
C) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.
D) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.

5. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Communicates directly with the active NameNode to maintain the state of the active NameNode.
B) Receives the same block reports as the active NameNode.
C) Runs on the same machine and shares the memory of the active NameNode.
D) Processes all client requests and block reports from the appropriate DataNodes.

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