Become Amazon Certified with updated AWS-DEA-C01 exam questions and correct answers
A sales company uses AWS Glue ETL to collect, process, and ingest data into an Amazon S3 bucket. The AWS Glue pipeline creates a new file in the S3 bucket every hour. File sizes vary from 200 KB to 300 KB. The company wants to build a sales prediction model by using data from the previous 5 years. The historic data includes 44,000 files. The company builds a second AWS Glue ETL pipeline by using the smallest worker type. The second pipeline retrieves the historic files from the S3 bucket and processes the files for downstream analysis. The company notices significant performance issues with the second ETL pipeline. The company needs to improve the performance of the second pipeline. Which solution will meet this requirement MOST cost-effectively?
A company has a frontend ReactJS website that uses Amazon API Gateway to invoke REST APIs. The APIs
perform the functionality of the website. A data engineer needs to write a Python script that can be
occasionally invoked through API Gateway. The code must return results to API Gateway.
Which solution will meet these requirements with the LEAST operational overhead?
A company stores its processed data in an S3 bucket. The company has a strict data access policy. Thecompany uses IAM roles to grant teams within the company different levels of access to the S3 bucket.The company wants to receive notifications when a user violates the data access policy. Each notificationmust include the username of the user who violated the policy.Which solution will meet these requirements?
A Data Engineering Team is designing a system to manage a series of dependent data processing and transformation jobs. These jobs involve various AWS services, including AWS Lambda for data manipulation, Amazon S3 for data storage, and AWS Glue for ETL operations. The team needs a robust solution to orchestrate these jobs, ensuring that they execute in a specific sequence and with conditional error handling.
Which AWS service should the team use for the most effective orchestration of these data processing workflows?
A company wants to migrate a data warehouse from Teradata to Amazon Redshift. Which solution will meet this requirement with the LEAST operational effort?
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