Q45 — AWS DEA-C01 Ch.1

Question 45 of 100 | ← Chapter 1

A security company stores IoT data that is in JSON format in an Amazon S3 bucket. The data structure can change when the company Upgrades the IoT devices. The company wants to create a data catalog that includes the IoT data. The company's analytics department will Use the data catalog to index the data. Which solution will meet these requirements MOST cost-effectively?

• A. Create an AWS Glue Data Catalog. Configure an AWS Glue Schema Registry. Create a new AWS Glue workload to orchestrate the ingestion of the data that the analytics department will use into Amazon Redshift Serverless. ✓
• B. Create an Amazon Redshift provisioned cluster. Create an Amazon Redshift Spectrum database for the analytics department to explore The data that is in Amazon S3. Create Redshift stored procedures to load the data into Amazon Redshift.
• C. Create an Amazon Athena workgroup. Explore the data that is in Amazon S3 by using Apache Spark through Athena. Provide the Athena Workgroup schema and tables to the analytics department.
• D. Create an AWS Glue Data Catalog. Configure an AWS Glue Schema Registry. Create AWS Lambda user defined functions (UDFs) by using the Amazon Redshift Data API. Create an AWS Step Functions job to orchestrate the ingestion of the data that the analytics department will use into Amazon Redshift Serverless.

Correct Answer: A. Create an AWS Glue Data Catalog. Configure an AWS Glue Schema Registry. Create a new AWS Glue workload to orchestrate the ingestion of the data that the analytics department will use into Amazon Redshift Serverless.

Explanation

考虑到成本效益和满足题目描述的要求，选项A提供了一个全面的解决方案。首先，创建AWSGlueDataCatalog可以管理并索引存储在AmazonS3中的数据，这对于分析部门来说非常有用。配置AWSGlueSchemaRegistry可以帮助管理数据结构的变更，这在IoT设备升级时尤其重要。最后，通过创建一个新的AWSGlue工作负载来协调数据摄入到AmazonRedshiftServerless，这样分析部门就可以高效地访问和使用这些数据。这个方案不仅满足了数据管理和索引的需求，还考虑了成本效益，因为它利用了服务器无的数据仓库解决方案。