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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Write and optimize HiveQL queries - Use Hive functions, views, and metastore |
| Topic 2: Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation |
| Topic 3: Data Ingestion | 25% | - Import/export data using Sqoop - Load data into HDFS from external sources - Ingest streaming data with Flume |
| Topic 4: Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - HDFS operations and file management - MapReduce concepts and job lifecycle |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Which one of the following statements describes a Hive user-defined aggregate function?
- A. Operates on a single input row and produces a table as output
- B. Operates on multiple input rows and produces a table as output
- C. Operates on a single input row and produces a single row as output
- D. Operates on multiple input rows and creates a single row as output
Correct Answer: D 🗳️
Examine the following Pig commands:
Which one of the following statements is true?
- A. The reducers will only output the first 20% of the data passed from the mappers
- B. The SAMPLE command generates an "unexpected symbol" error
- C. Each MapReduce task will terminate after executing for 0.2 minutes
- D. A random sample of approximately 20% of the data will be output
Correct Answer: D 🗳️
You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?
- A. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
- B. Channel these clickstreams inot Hadoop using Hadoop Streaming.
- C. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
- D. Ingest the server web logs into HDFS using Flume.
- E. Sample the weblogs from the web servers, copying them into Hadoop using curl.
Correct Answer: D 🗳️
In a MapReduce job with 500 map tasks, how many map task attempts will there be?
- A. Between 500 and 1000.
- B. At most 500.
- C. Exactly 500.
- D. At least 500.
- E. It depends on the number of reduces in the job.
Correct Answer: D 🗳️
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You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?
- A. CSV
- B. SequenceFiles
- C. JSON
- D. HTML
- E. XML
- F. Avro
Correct Answer: F 🗳️
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