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Hortonworks Apache-Hadoop-Developer Exam Overview:

Certification Vendor:Hortonworks
Exam Name:Hadoop 2.0 Certification Exam for Pig and Hive Developer
Exam Number:Hadoop-PR000007
Real Exam Qty:Performance-based tasks
Available Languages:English
Related Certifications:HDP Certified Developer (HDPCD)
HDP Certified Administrator (HDPCA)
HDP Certified Java Developer
Exam Duration:120 minutes
Exam Format:Performance-based, Hands-on lab, Live Hadoop cluster tasks
Exam Price:$250 USD
Sample Questions:Hortonworks Apache-Hadoop-Developer Sample Questions
Exam Way:Online remotely proctored, performance-based examination conducted on a live Hadoop cluster.
Pre Condition:No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume.
Official Syllabus URL:https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html

Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

1. To use a lava user-defined function (UDF) with Pig what must you do?

A) Register the JAR file containing the UDF
B) Pass arguments to the constructor of UDFs implementation class
C) Put the JAR file into the user's home folder in HDFS
D) Define an alias to shorten the function name


2. In a large MapReduce job with m mappers and n reducers, how many distinct copy
operations will there be in the sort/shuffle phase?

A) n
B) mXn (i.e., m multiplied by n)
C) m+n (i.e., m plus n)
D) mn (i.e., m to the power of n)
E) m


3. 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 read by the RecordReaders of both splits containing the broken line.
C) Input file splits may cross line breaks. A line that crosses file splits is ignored.
D) 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.
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.


4. Which HDFS command uploads a local file X into an existing HDFS directory Y?

A) hadoop fs-put X Y
B) hadoop scp X Y
C) hadoop fs -localPut X Y
D) hadoop fs -get X Y


5. What is the term for the process of moving map outputs to the reducers?

A) Combining
B) Partitioning
C) Shuffling and sorting
D) Reducing


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: D
Question # 4
Answer: A
Question # 5
Answer: C

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