PDF Version DemoHortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks |
|---|---|
| Exam Name: | Hadoop 2.0 Certification Exam for Pig and Hive Developer |
| Exam Number: | Hadoop-PR000007 |
| Real Exam Qty: | Performance-based tasks |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Related Certifications: | HDP Certified Developer (HDPCD) HDP Certified Administrator (HDPCA) HDP Certified Java Developer |
| Exam Price: | $250 USD |
| Exam Format: | Hands-on lab, Performance-based, Live Hadoop cluster tasks |
| Sample Questions: | Hortonworks Apache-Hadoop-Developer Sample Questions |
| Exam Way: | Online remotely proctored, performance-based examination conducted on a live Hadoop cluster. |
| Pre Condition: | No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing | - End-to-end Hadoop workflows
|
| Data Transformation with Pig | - Pig Latin programming
|
| Data Ingestion | - Import data into Hadoop
|
| Data Analysis with Hive | - Hive query development
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Question 1
Which two of the following statements are true about Pig's approach toward data? Choose 2 answers
A. Accepts tab-delimited text data only
B. Accepts only data that is defined by metadata tables stored in a database
C. Accepts data whether it has metadata or not
D. Accepts any data: structured or unstructured
E. Accepts only data that has a key/value pair structure
Question 2
You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?
A. Combiner
B. OutputFormat
C. Partitioner
D. WritableComparable
E. InputFormat
F. Writable
Question 3
What does the following WebHDFS command do?
Curl -1 -L "http://host:port/webhdfs/v1/foo/bar?op=OPEN"
A. List a directory /foo
B. Read a file /foo/bar
C. Delete a directory /foo/bar
D. Make a directory /foo/bar
Question 4
You want to Ingest log files Into HDFS, which tool would you use?
A. HCatalog
B. Ambari
C. Flume
D. Sqoop
Question 5
Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?
A. Hue
B. Oozie
C. Flume
D. Sqoop
E. Hive
F. fuse-dfs
G. Pig
Solutions:
| Question 1 Answer: C,D | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: D |
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