DP-203 · Question #255
There are a number of various analytical data stores that use different languages, models, and provide different capabilities. Which of the following is a low-latency NoSQL data store that provides…
The correct answer is B. HBase. HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data. The primary data model used by HBase is the Wide Option A is incorrect. Azure Synapse is a managed service depending upon the SQL Server…
Question
There are a number of various analytical data stores that use different languages, models, and provide different capabilities. Which of the following is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data?
Options
- AAzure Synapse Analytics
- BHBase
- CSpark SQL
- DHive
- ENone of these
How the community answered
(14 responses)- A7% (1)
- B79% (11)
- D14% (2)
Explanation
HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data. The primary data model used by HBase is the Wide Option A is incorrect. Azure Synapse is a managed service depending upon the SQL Server database technologies and is optimized for supporting large-scale data warehousing workloads. Option B is correct. HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data. Option C is incorrect. Spark SQL is an API developed on Spark that enables the creation of data frames and tables which are possible to be queried using SQL syntax. Option D is incorrect. It is HBase, not Hive that is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data. Option E is incorrect. HBase is the right answer. https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/batch-processing
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