Hortonworks HADOOP-PR000007 考試概覽:
| 認證廠商: | Hortonworks |
|---|---|
| 考試名稱: | Hortonworks 認證 Apache Hadoop 2.0 開發人員(Pig 與 Hive 開發人員) |
| 考試代碼: | HADOOP-PR000007 |
| 考試時間: | 120 分鐘 |
| 考試形式: | 選擇題, 實作導向題型 |
| 相關認證: | HDP 認證管理人員 HDP 認證助理人員 HDP 認證開發人員 |
| 支援語言: | 英文 |
| 實際考試題數: | 104-110 |
| 範例考題: | Hortonworks HADOOP-PR000007 範例考題 |
| 考試方式: | 線上監考 / 實地應考 |
| 必備條件: | 熟悉 Hadoop 生態系與相關開發工具。 |
Hortonworks HADOOP-PR000007 考試大綱主題:
| 章節 | 目標 |
|---|---|
| Hadoop 生態系工具 | - 工作流程與處理框架 - Sqoop 與資料匯入作業 |
| Hive 開發 | - Hive 資料表定義與查詢語法 - Hive 效能最佳化與執行機制 |
| Hadoop 核心概念 | - HDFS 架構與指令 - YARN 與 MapReduce 基礎知識 |
| Pig 開發 | - Pig 資料型別與使用者自訂函數 - Pig Latin 指令編寫 |
最新的 HDP Certified Developer HADOOP-PR000007 免費考試真題:
Which best describes what the map method accepts and emits?
- A. It accepts a list key-value pairs as input and can emit only one key-value pair as output.
- B. It accepts a single key-value pair as input and emits a single key and list of corresponding values as
output. - C. It accepts a single key-value pairs as input and can emit any number of key-value pair as output,
including zero. - D. It accepts a single key-value pairs as input and can emit only one key-value pair as output.
Assuming the following Hive query executes successfully:
Which one of the following statements describes the result set?
- A. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
of the inputdata table. - B. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
inputdata table. - C. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
the inputdata table. - D. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
data A1 table.
Consider the following two relations, A and B.
What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;
- A. Option B
- B. Option D
- C. Option C
- D. Option A
Which process describes the lifecycle of a Mapper?
- A. The TaskTracker spawns a new Mapper to process all records in a single input split.
- B. The JobTracker spawns a new Mapper to process all records in a single file.
- C. The TaskTracker spawns a new Mapper to process each key-value pair.
- D. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
What does Pig provide to the overall Hadoop solution?
- A. C++ interface to MapReduce and data warehouse infrastructure
- B. Simple scripting language for writing MapReduce programs
- C. Database table and storage management services
- D. Legacy language Integration with MapReduce framework

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