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DAS-C01 · Question #166

A company is building an analytical solution that includes Amazon S3 as data lake storage and Amazon Redshift for data warehousing. The company wants to use Amazon Redshift Spectrum to query the data

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Question

A company is building an analytical solution that includes Amazon S3 as data lake storage and Amazon Redshift for data warehousing. The company wants to use Amazon Redshift Spectrum to query the data that is stored in Amazon S3. Which steps should the company take to improve performance when the company uses Amazon Redshift Spectrum to query the S3 data files? (Select THREE )

Options

  • AUse gzip compression with individual file sizes of 1-5 GB
  • BUse a columnar storage file format
  • CPartition the data based on the most common query predicates
  • DSplit the data into KB-sized files.
  • EKeep all files about the same size.
  • FUse file formats that are not splittable

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Topics

#Redshift Spectrum#S3 Data Lake#Query Optimization#Data Partitioning
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