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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Hadoop Fundamentals & Architecture | 20% | - HDFS operations and file management - MapReduce concepts and job lifecycle - YARN architecture and job execution |
| Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Create and manage Hive tables, partitions, and buckets - Write and optimize HiveQL queries |
| Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Data transformation, filtering, joining, and aggregation - Debug and tune Pig jobs |
| Data Ingestion | 25% | - Load data into HDFS from external sources - Ingest streaming data with Flume - Import/export data using Sqoop |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Question #1
Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
A. hadoop -cp foo LocalFoo
B. hadoop fs -get foo LocalFoo
C. hadoop fs -Is foo
D. hadoop fs -put foo LocalFoo
Question #2
Assuming default settings, which best describes the order of data provided to a reducer's reduce method:
A. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
B. Neither keys nor values are in any predictable order.
C. Both the keys and values passed to a reducer always appear in sorted order.
D. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
Question #3
The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task finish first are used. This is called:
A. Default Partitioner
B. Combine
C. IdentityReducer
D. IdentityMapper
E. Speculative Execution
Question #4
Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int, zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?
A. STORE A INTO 'myoutput' USING PigStorage(',');
B. STORE B INTO 'myoutput';
C. DUMP B INTO 'myoutput';
D. DUMP B using PigStorage('myoutput');
Question #5
Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?
A. init
B. map
C. configure
D. combine
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: A | Question #3 Correct Answer: E | Question #4 Correct Answer: B | Question #5 Correct Answer: C |
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