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Mapr (HP) HBase Developer Certification Questions and Answers (Dumps and Practice Questions)



Question : MapR-DB stores structured data as a __________
 :  MapR-DB stores structured data as a __________
1. nested series of arrays
2. nested series of maps
3. nested series of lists
4. nested series of sets
5. nested series of linkedsets
http://www.training4exam.com/hbase-inroduction-part-1


Correct Answer : 2
Explanation: Like Apache HBase, MapR-DB stores structured data as a nested series of maps. Each map consists of a set of key-value pairs,
where the value can be the key in another map. Keys are kept in strict lexicographical order: 1, 10, and 113 come before 2, 20, and 213.





Question : In MapR-DB , what is the maximum supported size of a row key

 : In MapR-DB , what is the  maximum supported size of a row key
1. 128 Bytes

2. 1 KB

3. 64 KB

4. 1 MB

Correct Answer : 3
Explanation: Key: Keys identify the rows in a table.
In MapR-DB, the maximum supported size of a row key is 64 KB. However, the recommended practice is to keep it lower than a few hundred bytes.




Question : In MapR-DB , please order the descending order of granularity, the elements of a table.

1. Key
2. Column family
3. Timestamp
4. Row
5. Column
6. Value


 : In MapR-DB , please order the descending order of granularity, the elements of a table.
1. 1,3,4,5,6,2

2. 1,4,2,5,3,6

3. 3,6,4,5,2,1

4. 3,6,4,2,5,1

Correct Answer : 2
Explanation: In descending order of granularity, the elements of a table are:
Key: Keys identify the rows in a table.
In MapR-DB, the maximum supported size of a row key is 64 KB. However, the recommended practice is to keep it lower than a few hundred bytes.
Row: Rows span one or more column families and columns.
In MapR-DB, the maximum supported size of a row is 2 GB. However, the recommended practice is to keep the size under 2 MB. In general, MapR-DB performs better with many small rows,
rather than with fewer very large rows.
Column family: A column family is a key associated with a set of columns. Specify this association according to your individual use case, creating sets of columns. A column family
can contain an arbitrary number of columns. MapR-DB tables support up to 64 column families.
Column: Columns are keys that are associated with a series of timestamps that define when the value in that column was updated.
Timestamp: The timestamp in a column specifies a particular data write to that column.
Value: The data written to that column at the specific timestamp.



Related Questions


Question : In MapR-DB, what is the maximumn size of a Row.

 : In MapR-DB, what is the maximumn size of a Row.
1. 1 GB

2. 2 GB

3. Equal to minimum size of RAM in entire cluster

4. Equal to maximum size of RAM in entire cluster


Question : In MapR-DB, Rows span one or more column families and columns.

 : In MapR-DB, Rows span one or more column families and columns.
1. True
2. False


Question :

In HBase data is not updated ?
  :
1. True
2. False


Question : Which of the following is supported features of HBase

1. HBase is a Column Family oriented
2. HBase support multi row transactions
3. HBase queries data using get or put or scan
4. HBase supports Secondary Indexes

  : Which of the following is supported features of HBase
1. All 1,2,3, and 4 are correct
2. Only 1,2,3 are correct
3. Only 2,3, and 4 are correct
4. Only 1,3, and 4 arre correct


Question : Which of the following feature is provided by HBase

  : Which of the following feature is provided by HBase
1. Random reads and writes
2. High Throughput
3. Caching
4. All of the above



Question : In which scenerio HBase should be used

  : In which scenerio HBase should be used
1. When data volume is huge e.g. TB to PB
2. When High throughput is needed e.g. 1000s queries per second
3. When there is a need of Higher Cache
4. When Data is Sparse
5. All of the above