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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - MapReduce concepts and job lifecycle - HDFS operations and file management |
| Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore - Write and optimize HiveQL queries |
| Apache Pig Development | 30% | - Data transformation, filtering, joining, and aggregation - Debug and tune Pig jobs - Write and optimize Pig Latin scripts |
| Data Ingestion | 25% | - Ingest streaming data with Flume - Import/export data using Sqoop - Load data into HDFS from external sources |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
MapReduce v2 (MRv2/YARN) is designed to address which two issues?
- A. Reduce complexity of the MapReduce APIs.
- B. HDFS latency.
- C. Standardize on a single MapReduce API.
- D. Resource pressure on the JobTracker.
- E. Single point of failure in the NameNode.
- F. Ability to run frameworks other than MapReduce, such as MPI.
Correct Answer: D,E 🗳️
Which one of the following statements is true regarding a MapReduce job?
- A. The reduce method is invoked once for each unique value
- B. The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
- C. The default Hash Partitioner sends key value pairs with the same key to the same Reducer
- D. The Mapper must sort its output of (key.value) pairs in descending order based on value
Correct Answer: B 🗳️
For each input key-value pair, mappers can emit:
- A. One intermediate key-value pair, of a different type.
- B. 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).
- 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. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
- E. One intermediate key-value pair, but of the same type.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?
- A. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.
- B. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
- C. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
- D. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
- E. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
Which one of the following is NOT a valid Oozie action?
- A. mapreduce
- B. pig
- C. mrunit
- D. hive
Correct Answer: C 🗳️
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