Hortonworks HADOOP-PR000007 dumps - in .pdf

HADOOP-PR000007 pdf
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Sep 03, 2025
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Sep 03, 2025
  • 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 HADOOP-PR000007 dumps - Testing Engine

HADOOP-PR000007 Testing Engine
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Sep 03, 2025
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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HADOOP-PR000007 exam dumps

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Given the following Pig commands:

Which one of the following statements is true?

A) The $1 variable represents the first column of data in 'my.log'
B) The $1 variable represents the second column of data in 'my.log'
C) The severe relation is not valid
D) The grouped relation is not valid


2. 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.


3. For each intermediate key, each reducer task can emit:

A) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).
B) One final key-value pair per value associated with the key; no restrictions on the type.
C) One final key-value pair per key; no restrictions on the type.
D) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
have the same type.
E) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.


4. You want to perform analysis on a large collection of images. You want to store this data in HDFS and
process it with MapReduce but you also want to give your data analysts and data scientists the ability to
process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?

A) JSON
B) XML
C) SequenceFiles
D) Avro
E) HTML
F) CSV


5. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A) A new table named mytable is created, and the contents of myothertable are copied into mytable
B) Any existing data in mytable will be overwritten
C) The contents of myothertable are appended to mytable
D) The statement is not a valid Hive command


Solutions:

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

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