Hortonworks Apache-Hadoop-Developer exam - in .pdf

Apache-Hadoop-Developer pdf
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 03, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
  • PDF Demo

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 03, 2026
  • Q & A: 110 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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Hortonworks Apache-Hadoop-Developer exam - Testing Engine

Apache-Hadoop-Developer Testing Engine
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 03, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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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 Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets
Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables

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

Question 1

What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A. Algorithms that require global, sharing states.
B. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
C. Algorithms that require applying the same mathematical function to large numbers of individual binary records.
D. Relational operations on large amounts of structured and semi-structured data.
E. Large-scale graph algorithms that require one-step link traversal.


Question 2

Which of the following tool was designed to import data from a relational database into HDFS?

A. Sqoop
B. HCatalog
C. Ambari
D. Flume


Question 3

Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
B. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
C. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
D. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.


Question 4

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


Question 5

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

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


Solutions:

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

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