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Hortonworks HADOOP-PR000007 試験シラバストピック:

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) 認定 HADOOP-PR000007 試験問題：

1. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?

A) Pig
B) Flume
C) fuse-dfs
D) Hive
E) Hue
F) Sqoop
G) Oozie

2. Consider the following two relations, A and B.

Which Pig statement combines A by its first field and B by its second field?

A) C = JOIN A by al, B by b2;
B) C = JOIN A SO, B $1;
C) C = DOIN B BY a1, A by b2;
D) C = JOIN A a1, B b2;

3. Workflows expressed in Oozie can contain:

A) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.
B) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks.
C) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
D) Sequences of MapReduce and Pig. These sequences can be combined with other actions including
forks, decision points, and path joins.

4. You are developing a MapReduce job for sales reporting. The mapper will process input keys
representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

A) The key and value types specified in the JobConf.setMapInputKeyClass and
JobConf.setMapInputValuesClass methods
B) The data types specified in HADOOP_MAP_DATATYPES environment variable
C) The InputFormat used by the job determines the mapper's input key and value types.
D) The mapper-specification.xml file submitted with the job determine the mapper's input key and value
types.

5. You want to understand more about how users browse your public website, such as which pages they
visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you
gather this data for your analysis?

A) Channel these clickstreams inot Hadoop using Hadoop Streaming.
B) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
C) Ingest the server web logs into HDFS using Flume.
D) Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
E) Sample the weblogs from the web servers, copying them into Hadoop using curl.

質問と回答：