Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
Certification Provider: Hortonworks
Corresponding Certification: HDP Certified Developer
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Apache Hive Development | 35% | - Data types, serialization, and file formats - Hive architecture, metastore, and table management - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning |
| Apache Pig Development | 40% | - User-defined functions (UDFs) and optimization - Data transformation, filtering, grouping, and joining - Pig Latin syntax, data loading, and storage - Integration with HCatalog and Hive |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Which TWO of the following statements are true regarding Hive? Choose 2 answers
- A. Useful for data analysts familiar with SQL who need to do ad-hoc queries
- B. Is a relational database
- C. Offers real-time queries and row level updates
- D. Allows you to define a structure for your unstructured Big Data
Correct Answer: A,D 🗳️
In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling
the next () method return?
- A. It returns a reference to the same Writable object each time, but populated with different data.
- B. It returns a reference to a different Writable object time.
- C. It returns a reference to the same Writable object if the next value is the same as the previous value, or
a new Writable object otherwise. - D. It returns a reference to a Writable object from an object pool.
- E. It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object
or a new object.
Correct Answer: A 🗳️
Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write
access to hundreds of terabytes of data?
- A. Pig
- B. HBase
- C. Flume
- D. Oozie
- E. Hue
- F. Hive
- G. Sqoop
Correct Answer: B 🗳️
Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int,
zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?
- A. DUMP B INTO 'myoutput';
- B. STORE B INTO 'myoutput';
- C. DUMP B using PigStorage('myoutput');
- D. STORE A INTO 'myoutput' USING PigStorage(',');
Correct Answer: B 🗳️
You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.
- A. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS. - B. There is no difference in output between the two settings.
- C. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS. - D. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS.
Correct Answer: A 🗳️
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