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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

Hortonworks Hadoop 2.0 Certification exam for 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 the current state of the file, up to the last bit written by the command.
B) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
C) They would see no content until the whole file written and closed.
D) They would see the current of the file through the last completed block.


2. What does the following WebHDFS command do?
Curl -1 -L "http://host:port/webhdfs/v1/foo/bar?op=OPEN"

A) Read a file /foo/bar
B) Delete a directory /foo/bar
C) Make a directory /foo/bar
D) List a directory /foo


3. You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?

A) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
B) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
C) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
D) No, because the Reducer and Combiner are separate interfaces.
E) Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.


4. Which one of the following statements describes the relationship between the ResourceManager and the ApplicationMaster?

A) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
B) The ApplicationMaster starts an instance of the ResourceManager within each Container
C) The ApplicationMaster requests resources from the ResourceManager
D) The ApplicationMaster starts a single instance of the ResourceManager


5. Which one of the following statements is false about HCatalog?

A) Stores HDFS data in a database for performing SQL-like ad-hoc queries
B) Designed to be used by other programs such as Pig, Hive and MapReduce
C) Exists as a subproject of Hive
D) Provides a shared schema mechanism


Solutions:

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

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