Cloudera Certified Specialist in Apache HBase CCB-400 Dumps in PDF

Free Cloudera CCB-400 Real Questions (page: 4)

You need to create a "WebLogs" table in HBase. The table will consist of a single Column Family called "Errors" and two column qualifiers, "IP" and "URL". The shell command you should use to create the table is:

  1. create 'WebLogs', {NAME => 'Errors:IP', NAME =>'Errors:URL'}
  2. create 'WebLogs', 'Errors' {NAME => 'IP', NAME => 'URL'}
  3. create 'WebLogs', 'Errors:IP', 'Errors:URL'
  4. create 'WebLogs', 'Errors'

Answer(s): C



Which feature of HBase ensures predictable disk head seek performance within a RegionServer?

  1. Data is stored distributed in HDFS
  2. Data stored in HBase is sparse
  3. Data is stored sorted on row keys
  4. Data is stored as an uninterpreted array of bytes

Answer(s): C



Given that following is your entire dataset:



How many sets of physical files will be read during a scan of the entire dataset immediately following a major compaction?

  1. Two
  2. One
  3. Three
  4. Four

Answer(s): B



Your client application if; writing data to a Region. By default, where is the data saved first?

  1. StoreFile
  2. WAL
  3. MemStore
  4. Local disk on the RegionServer

Answer(s): C


Reference:

http://www.cloudera.com/blog/2012/07/hbase-log-splitting/ (Log splitting, first paragraph)



You want to do a full table scan on your data. You decide to disable block caching to see if this improves scan performance. Will disabling block caching improve scan performance?

  1. No. Disabling block caching does not improve scan performance.
  2. Yes.
    When you disable block caching, you free up that memory for other operations. With a full table scan, you cannot take advantage of block caching anyway because your entire table won't fit into cache.
  3. No. If you disable block caching, HBase must read each block index from disk for each scan, thereby decreasing scan performance.
  4. Yes.
    When you disable block caching, you free up memory for MemStore, which improves, scan performance.

Answer(s): B



Your client application needs to scan s region for the row key value 104. Given a store that contains the following list of Row Key values:
100, 101, 102, 103, 104, 105, 106, 107
A bloom filter would return which of the following?

  1. Confirmation that 104 may be contained in the set
  2. Confirmation that 104 is contained in the set
  3. The hash of column family
  4. The file offset of the value 104

Answer(s): B



You have 40 Web servers producing timeseries data from Web traffic logs. You want to attain high write throughput for storing this data in an HBase table.
Which of these should you choose for a row key to maximize your write throughput?

  1. <hashCode (centralServerGeneratedSequenceID) ><timestamp>
  2. <Long.MAX_VALUE ­ timestamp>
  3. <timestamp>
  4. <hashCode (serverGeneratingTheWeblog)><timestamp>

Answer(s): C



You have data already stored in HDFS and are considering using HBase.
Which additional feature does HBase provide to HDFS?

  1. Random writes
  2. Batch processing
  3. Fault tolerance
  4. Scalability

Answer(s): A


Reference:

http://borthakur.com/ftp/SIGMODRealtimeHadoopPresentation.pdf (11th slide)



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