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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Hive Development | 35% | - Data types, serialization, and file formats - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning - Hive architecture, metastore, and table management |
| Topic 2: Hadoop Fundamentals & HDFS | 20% | - HDFS file operations, permissions, and data management - Hadoop 2.0 architecture & YARN |
| Topic 3: Apache Pig Development | 40% | - User-defined functions (UDFs) and optimization - Pig Latin syntax, data loading, and storage - Integration with HCatalog and Hive - Data transformation, filtering, grouping, and joining |
| Topic 4: 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:
1. You want to Ingest log files Into HDFS, which tool would you use?
A) Flume
B) Sqoop
C) HCatalog
D) Ambari
2. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers
A) Job Tracker
B) Task Tracker
C) Applications Manager
D) Scheduler
3. Determine which best describes when the reduce method is first called in a MapReduce job?
A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called only after all intermediate data has been copied and sorted.
B) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal
performance for map-only or reduce-only jobs.
C) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called as soon as the intermediate key-value pairs start to arrive.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The programmer can configure in the job what percentage of the intermediate data should arrive before
the reduce method begins.
4. Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which
is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will
run?
A) 100
B) 200
C) 64
D) 640
5. Workflows expressed in Oozie can contain:
A) Sequences of MapReduce and Pig. These sequences can be combined with other actions including
forks, decision points, and path joins.
B) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.
C) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks.
D) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C,D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |



