Amazon Web Services Data-Engineer-Associate Exam With Confidence Using Practice Dumps

Option A is correct because Amazon Kinesis Data Streams is designed to collect and process large streams of data records in real time and is optimized for rapid, continuous data intake and aggregation. AWS states that Kinesis Data Streams is a fully managed, serverless data streaming service for ingesting streaming data at any scale and highlights event sources such as clickstream and application activity data. AWS also notes that Kinesis can pair with AWS Lambda for low-latency event processing. This directly matches the requirement to ingest millions of customer activity events with minimum latency in a scalable and durable way.

Option B is batch processing every 10 minutes, so it does not satisfy the real-time requirement. Option C depends on files landing in S3 first, which is also not the lowest-latency ingest path. Option D can support streaming, but a managed Kafka cluster with self-managed consumers introduces more operational overhead and is generally less cost-effective here than a native Kinesis + Lambda pipeline for an AWS-centric event-ingestion workload. Therefore, Kinesis Data Streams + Lambda + Redshift is the best answer.

AWS Glue ETL is designed for scalable and serverless data processing, and it supports integrated quality enforcement using AWS Glue Data Quality, which makes it the most cost-effective and integrated option when combined with Amazon RDS for MySQL as the relational database.

“AWS Glue can perform data validation as part of the ETL process, ensuring data quality before storing the data in the target data store.”

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Using AWS Glue Data Quality directly in the ETL workflow is simpler and more cost-effective than separating transformation (Glue) and validation (DataBrew) into different services.

Amazon S3 Intelligent-Tiering is designed to optimize storage costs by automatically moving objects between access tiers based on access patterns. Since Apache Iceberg works with S3 storage, using Intelligent-Tiering provides cost-efficiency without the need for custom development or jobs.

Option B improves performance but doesn ' t optimize cost automatically.

Option C is not a real AWS Glue feature – Glue does not automatically optimize Iceberg storage.

Option D requires custom development effort, which is contrary to the requirement.

“S3 Intelligent-Tiering is ideal for data lakes and analytics use cases that access data irregularly.”