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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Hive Development | 35% | - Hive architecture, metastore, and table management - HiveQL queries, joins, aggregations, and partitioning - Data types, serialization, and file formats - Performance tuning and indexing |
| Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Apache Pig Development | 40% | - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining - Integration with HCatalog and Hive - User-defined functions (UDFs) and optimization |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. MapReduce v2 (MRv2/YARN) is designed to address which two issues?
A) Resource pressure on the JobTracker.
B) Reduce complexity of the MapReduce APIs.
C) HDFS latency.
D) Single point of failure in the NameNode.
E) Ability to run frameworks other than MapReduce, such as MPI.
F) Standardize on a single MapReduce API.
2. Which one of the following statements is false about HCatalog?
A) Provides a shared schema mechanism
B) Designed to be used by other programs such as Pig, Hive and MapReduce
C) Exists as a subproject of Hive
D) Stores HDFS data in a database for performing SQL-like ad-hoc queries
3. Examine the following Pig commands:
Which one of the following statements is true?
A) The SAMPLE command generates an "unexpected symbol" error
B) Each MapReduce task will terminate after executing for 0.2 minutes
C) The reducers will only output the first 20% of the data passed from the mappers
D) A random sample of approximately 20% of the data will be output
4. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys,
IntWritable values. Which interface should your class implement?
A) Mapper <Text, IntWritable, Text, IntWritable>
B) Reducer <Text, IntWritable, Text, IntWritable>
C) Combiner <Text, Text, IntWritable, IntWritable>
D) Reducer <Text, Text, IntWritable, IntWritable>
E) Combiner <Text, IntWritable, Text, IntWritable>
5. To use a lava user-defined function (UDF) with Pig what must you do?
A) Register the JAR file containing the UDF
B) Pass arguments to the constructor of UDFs implementation class
C) Define an alias to shorten the function name
D) Put the JAR file into the user's home folder in HDFS
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |
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