Assess the CertsIQ’s updated AWS-DEA-C01 exam questions for free online practice of your AWS Certified Data Engineer - Associate test. Our DEA C01 dumps questions will enhance your chances of passing the AWS Certified Data Engineer certification exam with higher marks.
A data engineer needs to securely transfer 5 TB of data from an on-premises data center to an Amazon S3
bucket. Approximately 5% of the data changes every day. Updates to the data need to be regularlyproliferated
to the S3 bucket. The data includes files that are in multiple formats. The data engineer needs to automate the
transfer process and must schedule the process to run periodically.
Which AWS service should the data engineer use to transfer the data in the MOST operationally efficient
way?
A data engineer is using Amazon Athena for querying customer engagement data stored in Amazon S3. The analyst needs to extract information about customer interactions for the year 2023 from a table called interaction_data. The initial query designed to fetch the total interactions per customer for 2023 is not yielding results for some customers known to have interactions in that year. The query needs adjustment to correctly reflect the entire dataset.
The original query is:
SELECT customer_id, sum(interactions)
FROM interaction_data
WHERE year = 2023
GROUP BY customer_id
How should the data engineer modify the Athena query to ensure it includes all relevant customer data for 2023?
A company is integrating a business intelligence (BI) tool with their data warehouse hosted on Microsoft SQL Server. The BI team requires regular data extracts to be transformed and stored in Amazon S3 for further analysis. The BI team needs a solution to manage this ETL process efficiently and at a low cost.
Which AWS service or feature is the most cost-effective for orchestrating an ETL pipeline that extracts data from Microsoft SQL Server, transforms it, and loads it into Amazon S3?
A company stores large volumes of data in Amazon S3, with access patterns that vary unpredictably. They need a cost-effective storage solution that automatically adjusts pricing based on data retrieval frequency without manual intervention.
Which storage option should the company use to ensure cost savings for their variable data access patterns?
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?
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