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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 25% | - Import/export data using Sqoop - Ingest streaming data with Flume - Load data into HDFS from external sources |
| Topic 2: Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - HDFS operations and file management - YARN architecture and job execution |
| Topic 3: Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets |
| Topic 4: Apache Pig Development | 30% | - Data transformation, filtering, joining, and aggregation - Write and optimize Pig Latin scripts - Debug and tune Pig jobs |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?
A) The ApplicationMaster starts the NodeManager outside of a Container
B) The ApplicationMaster starts the NodeManager in a Container
C) The NodeManager creates an instance of the ApplicationMaster
D) The NodeManager requests resources from the ApplicationMaster
2. Which best describes how TextInputFormat processes input files and line breaks?
A) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
B) Input file splits may cross line breaks. A line that crosses file splits is ignored.
C) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
E) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
3. 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
4. Which HDFS command displays the contents of the file x in the user's HDFS home directory?
A) hadoop fs -Is x
B) hdfs fs -get x
C) hadoop fs -cat x
D) hadoop fs -cp x
5. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers
A) Accepts data whether it has metadata or not
B) Accepts only data that is defined by metadata tables stored in a database
C) Accepts only data that has a key/value pair structure
D) Accepts any data: structured or unstructured
E) Accepts tab-delimited text data only
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A,D |



