Q81 — AWS DEA-C01 Ch.1

Question 81 of 100 | ← Chapter 1

A retail company uses AWS Glue for extract, transform, and load (ETL) operations on a dataset that contains information about customer orders. The company wants to implement specific validation rules to ensure data accuracy and consistency. Which solution will meet these requirements?

• A. Use AWS Glue job bookmarks to track the data for accuracy and consistency.
• B. Create custom AWS Glue Data Quality rulesets to define specific data quality checks. ✓
• C. Use the built-in AWS Glue Data Quality transforms for standard data quality validations.
• D. Use AWS Glue Data Catalog to maintain a centralized data schema and metadata repository

Correct Answer: B. Create custom AWS Glue Data Quality rulesets to define specific data quality checks.

Explanation

AWSGlue是一个完全托管的提取、转换和加载（ETL）服务，用于准备和加载数据以供分析。针对题目中提到的需求，即实施特定的验证规则以确保数据的准确性和一致性，我们可以逐一分析选项：A.AWSGluejobbookmarks主要用于跟踪作业的运行，确保数据处理的准确性，但并不直接用于定义数据质量的特定规则。B.AWSGlue允许创建自定义的数据质量规则集，这可以直接满足题目中对实施特定验证规则的需求。C.虽然AWSGlue提供了内置的数据质量转换，但它们主要用于标准的数据质量验证，可能不完全符合题目中提到的“特定验证规则”。D.AWSGlueDataCatalog主要用于维护数据的架构和元数据，与直接实施数据验证规则无关。因此，B选项“创建自定义的AWSGlue数据质量规则集来定义特定的数据质量检查”是最符合题目要求的解决方案。