CCD-333 題庫產品免費試用

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選擇使用 Cloudera CCD-333 考古題產品，離你的夢想更近了一步。我們為你提供的 Cloudera CCD-333 題庫資料不僅能幫你鞏固你的專業知識，而且還能保證讓你一次通過 CCD-333 考試。

購買後，立即下載 CCD-333 題庫 (Cloudera Certified Developer for Apache Hadoop): 成功付款後, 我們的體統將自動通過電子郵箱將您已購買的產品發送到您的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查您的垃圾郵件。）

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通過 Cloudera CCD-333 認證考試是不簡單的，選擇合適的考古題資料是你成功的第一步。因為好的題庫產品是你成功的保障，所以 Cloudera CCD-333 考古題就是好的保障。Cloudera CCD-333 考古題覆蓋了最新的考試指南，根據真實的 CCD-333 考試真題編訂，確保每位考生順利通過 Cloudera CCD-333 考試。

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最新的 CCDH CCD-333 免費考試真題:

1. Which of the following best describes the workings of TextInputFormat?

A) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
B) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
C) Input file splits may cross line breaks. A line that crosses tile splits is ignored.
D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
E) The input file is split exactly at the line breaks, so each Record Reader will read a series of complete lines.

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) 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.
C) 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.
D) 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.

3. During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?

A) Keys are presented to a reducer in random order; values for a given key are not sorted.
B) Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
C) Keys are presented to a reducer in sorted order; values for a given key are not sorted.
D) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.

4. In the reducer, the MapReduce API provides you with an iterator over Writable values. Calling the next () method:

A) Returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
B) Returns a reference to the same writable object each time, but populated with different data.
C) Returns a reference to a Writable object from an object pool.
D) Returns a reference to the same writable object if the next value is the same as the previous value, or a new writable object otherwise.
E) Returns a reference to a different Writable object each time.

5. What is the behavior of the default partitioner?

A) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.
B) The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
C) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
D) The default partitioner assigns key value pairs to reducers based on an internal random number generator.
E) The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.

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