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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hadoop Fundamentals & HDFS20%- HDFS file operations, permissions, and data management
- Hadoop 2.0 architecture & YARN
Topic 2: Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Topic 3: Apache Hive Development35%- Hive architecture, metastore, and table management
- HiveQL queries, joins, aggregations, and partitioning
- Data types, serialization, and file formats
- Performance tuning and indexing
Topic 4: Apache Pig Development40%- Pig Latin syntax, data loading, and storage
- User-defined functions (UDFs) and optimization
- Data transformation, filtering, grouping, and joining
- Integration with HCatalog and Hive

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

1. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just
after this command has finished writing 200 MB of this file, what would another user see when trying to
access this life?

A) They would see no content until the whole file written and closed.
B) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
C) They would see the current of the file through the last completed block.
D) They would see the current state of the file, up to the last bit written by the command.


2. Which one of the following statements is FALSE regarding the communication between DataNodes and a
federation of NameNodes in Hadoop 2.0?

A) Each DataNode receives commands from one designated master NameNode.
B) DataNodes send periodic heartbeats to all the NameNodes.
C) Each DataNode registers with all the NameNodes.
D) DataNodes send periodic block reports to all the NameNodes.


3. Review the following data and Pig code:

What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on
B?

A) B= GROUP A BY (zip = = '95102' AND gender = = 'M');
B) B = JOIN A BY (gender = = 'M' AND zip = = '95102');
C) B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
D) B = FILTER A BY (zip = = '95102' AND gender = = M");


4. Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and
monitoring application resource usage?

A) JobTracker
B) ApplicationMaster
C) TaskTracker
D) NodeManager
E) ResourceManager
F) ApplicationMasterService


5. Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

A) The default partitioner computes the hash of the key and divides that valule modulo the number of
reducers. The result determines the reducer assigned to process the key-value pair.
B) The default partitioner assigns key-values pairs to reduces based on an internal random number
generator.
C) The default partitioner computes the hash of the key. Hash values between specific ranges are
associated with different buckets, and each bucket is assigned to a specific reducer.
D) The default partitioner computes the hash of the value and takes the mod of that value with the number
of reducers. The result determines the reducer assigned to process the key-value pair.
E) The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
in turn. This ensures an event partition of the key space.


Solutions:

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

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