Cloudera HBase Certification Questions and Answers (Dumps and Practice Questions)

Question : Which statement is true about the HBase

1. Sparse
2. MultiDimensional
3. Persistent
4. SortedMap
5. All of the Above

Correct Answer 5 : HBase is . . .
Open-Source
Sparse
Multidimensional
Persistent
Distributed
Sorted Map
Runs on top of HDFS
Modeled after Googles BigTable






Question : HBase is a Sorted Distributed Map ?

1. True
2. False


Correct Answer 1 :





Question : HBase is a Map at its core, and which statement is considered true for this Map..
1. The Map is indexed by a row key, Clolumn Key, and a timestamp.
2. Each value in the map is an uninterpreted array of bytes.
3. The Map is not Indexed at all.

1. Only 1 is correct
2. Only 2 is correct
3. Only 1 and 2 is correct
4. All 1,2 and 3 are correct



Correct Answer : 3
The map is indexed by a row key, column key, and a timestamp; each value in the map is an uninterpreted array of bytes.

Related Questions

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Question : How HBase Maps are Sorted

1. Key or Values are kept in lexicographic sorted order
2. HBase Keys and Values are stored in Random Order
3. Keys and Values are not sorted at all




Question : Select the correct option for the HBase ..

1. HBase is Built upon a distributed filesystem.
2. A given row can have any number of columns
3. There could be a Gap between keys
4. All of the above




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


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


1. Random reads and writes
2. High Throughput
3. Caching
4. All of the above



Question : 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