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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Topic 2: Hadoop Fundamentals & HDFS | 20% | - HDFS file operations, permissions, and data management - Hadoop 2.0 architecture & YARN |
| Topic 3: Apache Pig Development | 40% | - User-defined functions (UDFs) and optimization - Integration with HCatalog and Hive - Data transformation, filtering, grouping, and joining - Pig Latin syntax, data loading, and storage |
| Topic 4: Apache Hive Development | 35% | - Hive architecture, metastore, and table management - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning - Data types, serialization, and file formats |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and
# data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's
given a path object representing this directory?
A) One, no special characters can prefix the name of an input file
B) Two, file names with a leading period or underscore are ignored
C) Four, all files will be processed
D) None, the directory cannot be named jobdata
E) Three, the pound sign is an invalid character for HDFS file names
2. MapReduce v2 (MRv2/YARN) is designed to address which two issues?
A) Resource pressure on the JobTracker.
B) Ability to run frameworks other than MapReduce, such as MPI.
C) Standardize on a single MapReduce API.
D) Single point of failure in the NameNode.
E) HDFS latency.
F) Reduce complexity of the MapReduce APIs.
3. You want to populate an associative array in order to perform a map-side join. You've decided to put this
information in a text file, place that file into the DistributedCache and read it in your Mapper before any
records are processed. Indentify which method in the Mapper you should use to implement code for
reading the file and populating the associative array?
A) init
B) combine
C) map
D) configure
4. 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. The API leaves unspecified whether this is a reused object
or a new object.
E) It returns a reference to a Writable object from an object pool.
5. Which one of the following statements regarding the components of YARN is FALSE?
A) A client application submits a YARW job to the ResourceManager
B) The ResourceManager monitors and restarts any failed Containers
C) A Container executes a specific task as assigned by the ApplicationMaster
D) The ResourceManager is responsible for scheduling and allocating resources
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |

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