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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Apache Pig Development | 40% | - Pig Latin syntax, data loading, and storage - Integration with HCatalog and Hive - User-defined functions (UDFs) and optimization - Data transformation, filtering, grouping, and joining |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Apache Hive Development | 35% | - HiveQL queries, joins, aggregations, and partitioning - Performance tuning and indexing - Data types, serialization, and file formats - Hive architecture, metastore, and table management |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A) At least 500.
B) It depends on the number of reduces in the job.
C) At most 500.
D) Between 500 and 1000.
E) Exactly 500.
2. To use a lava user-defined function (UDF) with Pig what must you do?
A) Pass arguments to the constructor of UDFs implementation class
B) Define an alias to shorten the function name
C) Put the JAR file into the user's home folder in HDFS
D) Register the JAR file containing the UDF
3. Given the following Pig command:
logevents = LOAD 'input/my.log' AS (date:chararray, levehstring, code:int, message:string);
Which one of the following statements is true?
A) The logevents relation represents the data from the my.log file, using a tab as the parsing delimiter
B) The logevents relation represents the data from the my.log file, using a comma as the parsing delimiter
C) The first field of logevents must be a properly-formatted date string or table return an error
D) The statement is not a valid Pig command
4. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the
two tables are formatted as comma-separated files in HDFS.
A) No, but it can be done with either Pig or Hive.
B) Yes, so long as both tables fit into memory.
C) Yes.
D) No, MapReduce cannot perform relational operations.
E) Yes, but only if one of the tables fits into memory
5. 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 InputFormat used by the job determines the mapper's input key and value types.
C) The mapper-specification.xml file submitted with the job determine the mapper's input key and value
types.
D) The data types specified in HADOOP_MAP_DATATYPES environment variable
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |






