DEA-C01 · Question #232
DEA-C01 Question #232: Real Exam Question with Answer & Explanation
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Question
A company wants to build a dimension table in an Amazon S3 bucket. The bucket contains historical data that includes 10 million records. The historical data is 1 TB in size. A data engineer needs a solution to update changes for up to 10,000 records in the base table every day. Which solution will meet this requirement with the LOWEST runtime?
Options
- ADevelop an Apache Spark job in Amazon EMR to read the historical data and the new changes
- BDevelop an AWS Glue Python job to read the historical data and new changes into two Pandas
- CDevelop an AWS Glue Apache Spark job to read the historical data and new changes into two
- DDevelop an Amazon EMR job to read new changes into Apache Spark DataFrames. Use the
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