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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hadoop Fundamentals & Architecture20%- YARN architecture and job execution
- MapReduce concepts and job lifecycle
- HDFS operations and file management
Topic 2: Apache Hive Development25%- Create and manage Hive tables, partitions, and buckets
- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore
Topic 3: Apache Pig Development30%- Write and optimize Pig Latin scripts
- Debug and tune Pig jobs
- Data transformation, filtering, joining, and aggregation
Topic 4: Data Ingestion25%- Import/export data using Sqoop
- Ingest streaming data with Flume
- Load data into HDFS from external sources

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Which TWO of the following statements are true regarding Hive? Choose 2 answers

A) Allows you to define a structure for your unstructured Big Data
B) Offers real-time queries and row level updates
C) Useful for data analysts familiar with SQL who need to do ad-hoc queries
D) Is a relational database


2. Which process describes the lifecycle of a Mapper?

A) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
B) The TaskTracker spawns a new Mapper to process each key-value pair.
C) The JobTracker spawns a new Mapper to process all records in a single file.
D) The TaskTracker spawns a new Mapper to process all records in a single input split.


3. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

A) Hue
B) Pig
C) Oozie
D) Sqoop
E) Flume
F) HBase
G) Hive


4. For each input key-value pair, mappers can emit:

A) As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
B) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
C) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.
D) One intermediate key-value pair, but of the same type.
E) One intermediate key-value pair, of a different type.


5. Which of the following tool was designed to import data from a relational database into HDFS?

A) Ambari
B) Sqoop
C) HCatalog
D) Flume


Solutions:

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

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