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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Pig Development | 40% | - Data transformation, filtering, grouping, and joining - User-defined functions (UDFs) and optimization - Integration with HCatalog and Hive - Pig Latin syntax, data loading, and storage |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Apache Hive Development | 35% | - Hive architecture, metastore, and table management - Data types, serialization, and file formats - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning |
| Data Ingestion & Ecosystem Integration | 5% | - Workflow orchestration with Oozie - Sqoop and Flume usage basics |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper
that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters.
For each one of these characters, you will emit the character as a key and an InputWritable as the value.
As this will produce proportionally more intermediate data than input data, which two resources should
you expect to be bottlenecks?
- A. Processor and disk I/O
- B. Processor and RAM
- C. Processor and network I/O
- D. Disk I/O and network I/O
Correct Answer: D 🗳️
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 SO, B $1;
- B. C = DOIN B BY a1, A by b2;
- C. C = JOIN A by al, B by b2;
- D. C = JOIN A a1, B b2;
Correct Answer: C 🗳️
You need to run the same job many times with minor variations. Rather than hardcoding all job
configuration options in your drive code, you've decided to have your Driver subclass
org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
- A. hadoop setproperty mapred.job.name=Example MyDriver input output
- B. hadoop MyDriver mapred.job.name=Example input output
- C. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
- D. hadoop "mapred.job.name=Example" MyDriver input output
- E. hadoop MyDrive -D mapred.job.name=Example input output
Correct Answer: E 🗳️
Indentify the utility that allows you to create and run MapReduce jobs with any executable or script as the
mapper and/or the reducer?
- A. Sqoop
- B. Flume
- C. Oozie
- D. mapred
- E. Hadoop Streaming
Correct Answer: E 🗳️
Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and
monitoring application resource usage?
- A. JobTracker
- B. ApplicationMaster
- C. ResourceManager
- D. ApplicationMasterService
- E. NodeManager
- F. TaskTracker
Correct Answer: E 🗳️
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