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ARA-C01 · Question #84

ARA-C01 Question #84: Real Exam Question with Answer & Explanation

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Performance Optimization

Question

A company has a source system that provides JSON records for various loT operations. The JSON Is loading directly into a persistent table with a variant field. The data Is quickly growing to 100s of millions of records and performance to becoming an issue. There is a generic access pattern that Is used to filter on the create_date key within the variant field. What can be done to improve performance?

Options

  • AAlter the target table to Include additional fields pulled from the JSON records. This would Include
  • BAlter the target table to include additional fields pulled from the JSON records. This would include
  • CValidate the size of the warehouse being used. If the record count is approaching 100s of millions,
  • DIncorporate the use of multiple tables partitioned by date ranges. When a user or process needs to

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Topics

#VARIANT data type#Performance tuning#Data modeling#Semi-structured data
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