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AWS Certified Data Engineer - Associate

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Topic 1 Question 45
A company uses Amazon Athena to run SQL queries for extract, transform, and load (ETL) tasks by using Create Table As Select (CTAS). The company must use Apache Spark instead of SQL to generate analytics. Which solution will give the company the ability to use Spark to access Athena?
- Athena query settings
- Athena workgroup
- Athena data source
- Athena query editor
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コメント(10)
- 正解だと思う選択肢: B
  https://docs.aws.amazon.com/athena/latest/ug/notebooks-spark-getting-started.html "To use Apache Spark in Amazon Athena, you create an Amazon Athena workgroup that uses a Spark engine."
  
  👍 8
  GiorgioGss2024/03/19
- 正解だと思う選択肢: C
  The Athena data source acts as a bridge between Athena and other analytics engines, such as Apache Spark. By using the Athena data source connector, you can access data stored in various formats (e.g., CSV, JSON, Parquet) and locations (e.g., Amazon S3, Apache Hive Metastore) through Spark applications
  
  👍 4
  pypelyncar2024/06/09
- B. is the correct answer. To use Apache Spark in Amazon Athena, you create an Amazon Athena workgroup that uses a Spark engine. https://docs.aws.amazon.com/athena/latest/ug/notebooks-spark-getting-started.html
  
  👍 3
  damaldon2024/03/06
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