Hortonworks HADOOP-PR000007 Prüfungsthemen:
| Abschnitt | Ziele |
|---|---|
| Thema 1: Entwicklung mit Hive | - Optimierung und Ausführung in Hive - Tabellendefinitionen und Abfragen in Hive |
| Thema 2: Werkzeuge des Hadoop-Ökosystems | - Sqoop und Datenerfassung - Ablauf- und Verarbeitungsframeworks |
| Thema 3: Grundlegende Konzepte von Hadoop | - Grundlagen von YARN und MapReduce - Architektur und Befehle von HDFS |
| Thema 4: Entwicklung mit Pig | - Datentypen und UDFs in Pig - Skripterstellung mit Pig Latin |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) HADOOP-PR000007 Prüfungsfragen mit Lösungen
1. You want to count the number of occurrences for each unique word in the supplied input data. You've
decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then
have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it
occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your
existing Reduces as your combiner in this case and why or why not?
A) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for
both the key and value.
B) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as
a combiner.
C) Yes, because the sum operation is both associative and commutative and the input and output types to
the reduce method match.
D) No, because the Reducer and Combiner are separate interfaces.
E) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
2. Which one of the following statements describes a Hive user-defined aggregate function?
A) Operates on a single input row and produces a single row as output
B) Operates on a single input row and produces a table as output
C) Operates on multiple input rows and produces a table as output
D) Operates on multiple input rows and creates a single row as output
3. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just
after this command has finished writing 200 MB of this file, what would another user see when trying to
access this life?
A) They would see no content until the whole file written and closed.
B) They would see the current of the file through the last completed block.
C) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
D) They would see the current state of the file, up to the last bit written by the command.
4. 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
5. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers
A) Applications Manager
B) Scheduler
C) Job Tracker
D) Task Tracker
Fragen und Antworten:
| 1. Frage Antwort: C | 2. Frage Antwort: D | 3. Frage Antwort: B | 4. Frage Antwort: B,D | 5. Frage Antwort: A,B |






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