Sample AWS Data Engineer DEA-C01 Practice Questions
Q: Which of the following is a key concept within Data Ingestion and Transformation (Domain 1)?
A: EMR (Spark, Hive, Presto) — EMR (Spark, Hive, Presto) is a key concept in Data Ingestion and Transformation. This domain covers topics essential for the AWS Data Engineer exam.
Q: Which of the following is a key concept within Data Store Management (Domain 2)?
A: Schema Registry for Streaming — Schema Registry for Streaming is a key concept in Data Store Management. This domain covers topics essential for the AWS Data Engineer exam.
Q: Which of the following is a key concept within Data Operations and Support (Domain 3)?
A: Glue Workflows and Triggers — Glue Workflows and Triggers is a key concept in Data Operations and Support. This domain covers topics essential for the AWS Data Engineer exam.
Q: Which of the following is a key concept within Data Security and Governance (Domain 4)?
A: Macie for PII Detection — Macie for PII Detection is a key concept in Data Security and Governance. This domain covers topics essential for the AWS Data Engineer exam.
Q: A professional is tasked with design and implement data transformation solutions. What should be the first step?
A: Assess the current state and identify requirements — The first step in any data ingestion and transformation task is to assess the current state before implementing changes.
Q: Which concept in Data Ingestion and Transformation is most closely related to orchestrate data pipelines?
A: Data Ingestion and Transformation implementation and operations — Orchestrate data pipelines falls under the implementation and operations aspect of Data Ingestion and Transformation.
Q: Which of the following is a key concept within Data Ingestion and Transformation (Domain 1)?
A: Lambda for Event-Driven Ingestion — Lambda for Event-Driven Ingestion is a key concept in Data Ingestion and Transformation. This domain covers topics essential for the AWS Data Engineer exam.
Q: Which of the following is a key consideration when working with implement data ingestion patterns for batch and streaming data?
A: Following industry best practices and standards — When working with implement data ingestion patterns for batch and streaming data, following industry best practices ensures consistent and reliable results.
Q: Which of the following best describes the purpose of "Design and implement data transformation solutions" in Data Ingestion and Transformation?
A: To implement and manage design and implement data transformation solutions processes — Design and implement data transformation solutions is a key objective in Data Ingestion and Transformation. Understanding this concept is essential for the exam.
Q: Which of the following is a key concept within Data Ingestion and Transformation (Domain 1)?
A: EMR (Spark, Hive, Presto) — EMR (Spark, Hive, Presto) is a key concept in Data Ingestion and Transformation. This domain covers topics essential for the AWS Data Engineer exam.