Topic 1 Question 98

AWS Certified Data Engineer - Associate

Topic 1 Question 98
A company wants to use machine learning (ML) to perform analytics on data that is in an Amazon S3 data lake. The company has two data transformation requirements that will give consumers within the company the ability to create reports.

The company must perform daily transformations on 300 GB of data that is in a variety format that must arrive in Amazon S3 at a scheduled time. The company must perform one-time transformations of terabytes of archived data that is in the S3 data lake. The company uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) Directed Acyclic Graphs (DAGs) to orchestrate processing.

Which combination of tasks should the company schedule in the Amazon MWAA DAGs to meet these requirements MOST cost-effectively?

2 つ選択
- For daily incoming data, use AWS Glue crawlers to scan and identify the schema.
- For daily incoming data, use Amazon Athena to scan and identify the schema.
- For daily incoming data, use Amazon Redshift to perform transformations.
- For daily and archived data, use Amazon EMR to perform data transformations.
- For archived data, use Amazon SageMaker to perform data transformations.
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- A. For daily incoming data, use AWS Glue crawlers to scan and identify the schema. D. For daily and archived data, use Amazon EMR to perform data transformations.
  
  Here's why:
  
  A. AWS Glue crawlers are well-suited for scanning and identifying the schema of data in S3. They are cost-effective and efficient for daily incoming data. D. Amazon EMR is a cost-effective solution for performing large-scale data transformations. It can handle both the daily transformations of 300 GB of data and the one-time transformations of terabytes of archived data efficiently.
  
  👍 4
  Ja132024/07/03
- 正解だと思う選択肢: AD
  A. For daily incoming data, use AWS Glue crawlers to scan and identify the schema. This is cost-effective and simplifies the process of managing metadata.
  
  D. For daily and archived data, use Amazon EMR to perform data transformations. EMR is suitable for both large-scale and regular transformations, offering flexibility and cost efficiency.
  
  👍 3
  tgv2024/06/15
- 正解だと思う選択肢: AD
  According to ChatGPT
  
  👍 2
  Ja132024/07/03
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