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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Data Ingestion- Import data into Hadoop
  • 1. Use Sqoop for relational data import
  • 2. Use Flume for log and event data ingestion
Data Analysis with Hive- Hive query development
  • 1. Create and manage databases and tables
  • 2. Write queries, joins, aggregations and partitions
Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question 1

You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:

A. You will have twenty failed task attempts
B. You will have twelve failed task attempts
C. You will have five failed task attempts
D. You will have seventeen failed task attempts
E. You will have forty-eight failed task attempts


Question 2

Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

A. Accepts any data: structured or unstructured
B. Accepts only data that is defined by metadata tables stored in a database
C. Accepts data whether it has metadata or not
D. Accepts tab-delimited text data only
E. Accepts only data that has a key/value pair structure


Question 3

To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

A. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
B. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
C. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
D. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.


Question 4

Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A. JobTracker
B. TaskTracker
C. DataNode
D. Secondary NameNode
E. NameNode


Question 5

Which one of the following statements is true about a Hive-managed table?

A. When the table is dropped, the underlying folder in HDFS is deleted.
B. Records can only be added to the table using the Hive INSERT command.
C. Hive dynamically defines the schema of the table based on the format of the underlying data.
D. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.


Solutions:

Question 1
Answer: A
Question 2
Answer: A,C
Question 3
Answer: B
Question 4
Answer: A
Question 5
Answer: A

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