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Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks (now part of Cloudera) |
|---|---|
| Exam Name: | Apache Hadoop Developer Exam (Pig and Hive Developer Focus) |
| Exam Number: | Apache-Hadoop-Developer |
| Related Certifications: | Cloudera Data Platform certifications Hortonworks Certified Apache Hadoop Administrator |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Scenario-based Questions |
| Recommended Training: | Apache Hive Documentation Cloudera Training Courses Apache Pig Documentation |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | Hortonworks Apache-Hadoop-Developer Sample Questions |
| Exam Way: | Online proctored exam or authorized test center (varies by provider and time period) |
| Pre Condition: | Basic understanding of Linux, SQL, and distributed computing concepts recommended. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/certification.html |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Apache Hive | - HiveQL Query Language
|
| Data Processing and Integration | - Hadoop data formats
|
| Hadoop Ecosystem Fundamentals | - YARN and Resource Management
|
| Apache Pig | - Pig Latin Programming
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Which one of the following statements is FALSE regarding the communication between DataNodes and a federation of NameNodes in Hadoop 2.0?
- A. Each DataNode receives commands from one designated master NameNode.
- B. DataNodes send periodic heartbeats to all the NameNodes.
- C. Each DataNode registers with all the NameNodes.
- D. DataNodes send periodic block reports to all the NameNodes.
Correct Answer: A 🗳️
Which TWO of the following statements are true regarding Hive? Choose 2 answers
- A. Is a relational database
- B. Useful for data analysts familiar with SQL who need to do ad-hoc queries
- C. Offers real-time queries and row level updates
- D. Allows you to define a structure for your unstructured Big Data
Correct Answer: B,D 🗳️
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 that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
- B. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
- C. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
- D. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.
- E. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
Correct Answer: C 🗳️
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You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:
- A. You will have twelve failed task attempts
- B. You will have forty-eight failed task attempts
- C. You will have five failed task attempts
- D. You will have seventeen failed task attempts
- E. You will have twenty failed task attempts
Correct Answer: E 🗳️
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Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.
- A. Yes.
- B. No, MapReduce cannot perform relational operations.
- C. No, but it can be done with either Pig or Hive.
- D. Yes, so long as both tables fit into memory.
- E. Yes, but only if one of the tables fits into memory
Correct Answer: A 🗳️
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