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Hortonworks HADOOP-PR000007 考試大綱主題:
| 章節 | 目標 |
|---|---|
| 主題 1: Hadoop 生態系統整合 | - MapReduce 基礎 - 資料擷取與 ETL 工作流程 - HDFS 互動 |
| 主題 2: 使用 Hive 進行資料倉儲 | - HiveQL 基礎
|
| 主題 3: 使用 Pig 進行資料處理 | - 進階 Pig 處理
|
最新的 HDP Certified Developer HADOOP-PR000007 免費考試真題：
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?
- A. Place the data file in the DataCache and read the data into memory in the configure method of the
mapper. - B. Place the data file in the DistributedCache and read the data into memory in the map method of the
mapper. - C. Place the data file in the DistributedCache and read the data into memory in the configure method of
the mapper. - D. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
method of the mapper.
You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you
have ample space on your DataNodes. Which action should you take to relieve this situation and store
more files in HDFS?
- A. Increase the amount of memory for the NameNode.
- B. Increase the block size on your remaining files.
- C. Decrease the block size on all current files in HDFS.
- D. Decrease the block size on your remaining files.
- E. Increase the number of disks (or size) for the NameNode.
- F. Increase the block size on all current files in HDFS.
Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
- A. hadoop -cp foo LocalFoo
- B. hadoop fs -put foo LocalFoo
- C. hadoop fs -get foo LocalFoo
- D. hadoop fs -Is foo
Which best describes what the map method accepts and emits?
- A. It accepts a single key-value pairs as input and can emit any number of key-value pair as output,
including zero. - 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 list key-value pairs as input and can emit only one key-value pair as output.
- D. It accepts a single key-value pairs as input and can emit only one key-value pair as output.
In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?
- A. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job. - B. The values are in sorted order.
- C. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering. - D. Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
68.54.215.* -
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