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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Pig Development | 40% | - Integration with HCatalog and Hive - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining - User-defined functions (UDFs) and optimization |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Apache Hive Development | 35% | - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning - Hive architecture, metastore, and table management - Data types, serialization, and file formats |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question #1
You need to perform statistical analysis in your MapReduce job and would like to call methods in the
Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is
the best way to make this library available to your MapReducer job at runtime?
A. Have your system administrator copy the JAR to all nodes in the cluster and set its location in the
HADOOP_CLASSPATH environment variable before you submit your job.
B. When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
C. Package your code and the Apache Commands Math library into a zip file named JobJar.zip
D. Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and
then set the HTTP_JAR_URL environment variable to its location.
Question #2
Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and
monitoring application resource usage?
A. ApplicationMaster
B. TaskTracker
C. ApplicationMasterService
D. NodeManager
E. ResourceManager
F. JobTracker
Question #3
Which of the following tool was designed to import data from a relational database into HDFS?
A. Ambari
B. Flume
C. Sqoop
D. HCatalog
Question #4
The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:
A. IdentityReducer
B. Combine
C. IdentityMapper
D. Default Partitioner
E. Speculative Execution
Question #5
You want to Ingest log files Into HDFS, which tool would you use?
A. Ambari
B. Flume
C. Sqoop
D. HCatalog
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: D | Question #3 Correct Answer: C | Question #4 Correct Answer: E | Question #5 Correct Answer: B |
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