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Cloudera CCD-333 考試概覽:
| 認證廠商: | Cloudera |
| 考試名稱: | Cloudera 認證 Apache Hadoop 開發人員考試（CCD-333） |
| 考試代碼: | CCD-333 |
| 支援語言: | English |
| 相關認證: | Cloudera 認證助理（CCA） Cloudera 認證管理員（Apache Hadoop 管理員 CCA） |
| 及格分數: | 70% |
| 實際考試題數: | 約 60 題 |
| 考試費用: | 295 美元（依地區與考試機構而定） |
| 證照有效期限: | 2 年（舊版 CCD 考試之 Cloudera 認證有效期限標準） |
| 考試形式: | 選擇題, 實作／表現導向題型（依考試版本與舉辦形式而定） |
| 考試時間: | 120 minutes |
| 推薦課程: | Cloudera 教育訓練課程 |
| 考試報名: | Cloudera 認證入口網站 |
| 範例考題: | Cloudera CCD-333 範例考題 |
| 考試方式: | 線上監考或授權考試中心應試（依地區與考試機構提供服務而定） |
| 必備條件: | 建議具備 Hadoop 生態系統相關經驗，以及基礎程式設計知識（Java 或指令碼語言）。 |
| 官方大綱網址: | https://www.cloudera.com/about/training/certification.html |
Cloudera CCD-333 考試大綱主題:
| 章節 | 目標 |
|---|---|
| 主題 1: 資料擷取與整合 | - Flume
|
| 主題 2: Hadoop 生態系統與架構 | - YARN 資源管理
|
| 主題 3: 運用 MapReduce 進行資料處理 | - 最佳化與除錯
|
| 主題 4: 工作流程與排程 | - Oozie
|
| 主題 5: 資料處理工具 | - Pig
|
| 主題 6: 資料格式與儲存方式 | - 序列化格式
|
最新的 CCDH CCD-333 免費考試真題：
1. 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 file in HDFS.
A) No, but it can be done with either Pig or Hive.
B) No, MapReduce cannot perform relational operations.
C) Yes, but only if one of the tables fits into memory.
D) Yes.
E) Yes, so long as both tables fit into memory.
2. When is the reduce method first called in a MapReduce job?
A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
B) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
C) Reducers start copying intermediate key value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
3. Which two of the following are valid statements? (Choose two)
A) HDFS is a distributed file system that runs on top of native OS filesystems and is well suited to storage of very large data sets.
B) HDFS is optimized for storing a large number of files smaller than the HDFS block size.
C) HDFS has the Characteristic of supporting a "write once, read many" data access model.
D) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.
4. You are running a job that will process a single InputSplit on a cluster which has no other jobs currently running. Each node has an equal number of open Map slots. On which node will Hadoop first attempt to run the Map task?
A) The node with the most free local disk space
B) The node on which this InputSplit is stored
C) The node with the lowest system load
D) The node with the most memory
5. Which of the Following best describes the lifecycle of a Mapper?
A) The JobTracker calls the FastTracker's configure () method, then its map () method and finally its closer ()
B) The TaskTracker spawns a new Mapper to process all records in a single input split.
C) The JobTracker spawns a new Mapper to process all records in a single file.
D) The TaskTracker spawns a new Mapper to process each key-value pair.
問題與答案：
| 問題 #1 答案： D | 問題 #2 答案： A | 問題 #3 答案： A,C | 問題 #4 答案： B | 問題 #5 答案： D |
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我無法形容此刻我的心情，要是沒有 VCESoft 提供的考古題，我不能確定我能通過 CCD-333 考試，你們提供的題庫非常完美，很高興當初購買了這考題。