AWS Certified Data Engineer - Associate

A team must continuously deliver streaming clickstream data to Amazon S3 in near real time with automatic buffering, optional format conversion to Parquet, and no consumer code to manage. Which service is the best fit?

A real-time pipeline needs multiple independent consumer applications to read the same event stream at their own pace, with the ability to replay records within a retention window. Which service best supports this?

A company already uses Apache Kafka on-premises and wants a fully managed, Kafka-compatible streaming service on AWS to minimize application changes. Which service should they choose?

An engineer needs a serverless way to run Apache Spark ETL jobs to clean and join large datasets without provisioning or managing clusters. Which service is purpose-built for this?

An AWS Glue job runs daily against a growing S3 dataset, and the team must ensure it processes only newly arrived data instead of reprocessing everything. Which Glue feature enables this?

A company must continuously replicate changes from an on-premises relational database into Amazon S3 with minimal downtime, capturing ongoing inserts, updates, and deletes. Which service is designed for this?

A team needs to ingest data from a SaaS application such as Salesforce into Amazon S3 and Amazon Redshift on a schedule, without writing custom API integration code. Which service is best suited?

During transformation, an engineer converts incoming CSV data to Apache Parquet before writing it to the data lake. What is the primary benefit for downstream analytics?

A data engineer must orchestrate a complex, multi-step ETL workflow with dependencies, retries, and scheduling using Apache Airflow, without managing the Airflow infrastructure. Which service should they use?

Each time a small file is uploaded to an S3 bucket, a lightweight transformation must run immediately with no servers to manage. Which combination is most appropriate?