Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 25% | - Ingest streaming data with Flume - Import/export data using Sqoop - Load data into HDFS from external sources |
| Topic 2: Hadoop Fundamentals & Architecture | 20% | - HDFS operations and file management - YARN architecture and job execution - MapReduce concepts and job lifecycle |
| Topic 3: Apache Pig Development | 30% | - Debug and tune Pig jobs - Write and optimize Pig Latin scripts - Data transformation, filtering, joining, and aggregation |
| Topic 4: Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore - Write and optimize HiveQL queries |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?
A) The NodeManager creates an instance of the ApplicationMaster
B) The ApplicationMaster starts the NodeManager in a Container
C) The NodeManager requests resources from the ApplicationMaster
D) The ApplicationMaster starts the NodeManager outside of a Container
2. Which describes how a client reads a file from HDFS?
A) The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directory off the DataNode(s).
B) The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
C) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
D) The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.
3. Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
A) The output of each reducer is only the age column
B) The SORT BY command causes only one reducer to be used
C) The output is guaranteed to be a single file with all the data sorted by age
D) Each reducer generates a file sorted by age
4. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.
A) NameNode
B) TaskTracker
C) JobTracker
D) Secondary NameNode
E) DataNode
5. MapReduce v2 (MRv2/YARN) is designed to address which two issues?
A) Standardize on a single MapReduce API.
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) Resource pressure on the JobTracker.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D,F |
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