70-475 · Question #88
A company named Fabricam, Inc, has a web app hosted in Microsoft Azure. Millions of users visit the app daily. All of the user visits are logged in Azure Blob storage. Data analysts at Fabrikam…
The correct answer is B. Load the text files to sequence files, and then run dashboard queries on the sequence files. File format versatility and Intelligent caching: Fast analytics on Hadoop have always come with one big catch: they require up-front conversion to a columnar format like ORCFile, Parquet or Avro, which is time-consuming, complex and limits your agility. With Interactive Query…
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Options
- ALoad the text files to ORC files, and then run dashboard queries on the ORC files.
- BLoad the text files to sequence files, and then run dashboard queries on the sequence files.
- CRun the queries on the text files directly.
- DLoad the text files to parquet files, and then run dashboard queries on the parquet files.
How the community answered
(32 responses)- A6% (2)
- B72% (23)
- C3% (1)
- D19% (6)
Explanation
File format versatility and Intelligent caching: Fast analytics on Hadoop have always come with one big catch: they require up-front conversion to a columnar format like ORCFile, Parquet or Avro, which is time-consuming, complex and limits your agility. With Interactive Query Dynamic Text Cache, which converts CSV or JSON data into optimized in- memory format on-the-fly, caching is dynamic, so the queries determine what data is cached. After text data is cached, analytics run just as fast as if you had converted it to specific file big-data-analytics-architecture-and-operations/
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