AWS Certified Data Engineer – Associate

The AWS Certified Data Engineer – Associate certification exam by Amazon Web Services lasts approximately 130 minutes, with a passing score of 72%.

The AWS Certified Data Engineer – Associate practice question bank includes 195 questions across 3 levels (approximately 65 per level), each of which is available in three wording variants. That gives you up to 585 practice question variations to study. On every attempt, questions appear in random order and answer options are shuffled, so each session evaluates your knowledge from a fresh angle.

AWS Certified Data Engineer – Associate is a ASSOCIATE level certification offered by Amazon Web Services. Preparation is considered very complex and typically requires intermediate experience.

AWS Certified Data Engineer – Associate is organized into 4 exam domains, starting with Data Ingestion and Orchestration, Data Storage and Data Management, Data Processing and Transformation. Practice with the Certilum diagnostic engine to simulate the Amazon Web Services exam, pinpoint weak domains and measure your readiness before test day.

The AWS Certified Data Engineer – Associate exam has a difficulty score of 7.4/10 (Expert Level). Preparation complexity is very complex. It typically requires intermediate experience. With a passing score of 72%, thorough preparation is recommended. Certilum's diagnostic engine helps you identify weak domains before test day.

• Data ingestion (batch, streaming, CDC)
• Orchestration and workflow automation
• Data storage design (lake, warehouse, No)
• ETL/ELT transformation (Spark, , Lambda)
• Data governance (IAM, Lake Formation, encryption)
• Monitoring, logging, and auditing (CloudWatch, CloudTrail)
• Cost management (S3 lifecycle, instance selection)

• 1–2 years of hands-on experience with AWS data services
• Basic understanding of Python or Scala programming
• Familiarity with and data modeling concepts
• Practical experience with ETL/ELT pipelines and data lake architectures

High – requires deep understanding of multiple AWS data services, their integration patterns, and operational best practices. Memory recall for service limits, pricing models, and specific configurations is less emphasized; instead, scenario-based problem-solving and architecture design dominate the exam. Candidates must synthesize knowledge across storage, compute, networking, and security domains within data engineering contexts.

Certilum’s AWS Data Engineer prep uses scenario‑based practice questions that mirror real‑world challenges: S3 ingestion, multi‑service orchestrations, and fine‑grained access controls. Our practice exams emphasize cost optimization, performance tuning, and security compliance with diagnostic feedback on data partitioning and Glue job configurations.

1. Start with the official AWS Data Engineer exam guide and sample questions. 2. Complete hands-on labs on AWS Workshops and AWS Skill Builder – focus on AWS Glue, S3, Redshift, and Kinesis. 3. Build a real-world project: ingest streaming data with Kinesis, transform it with Glue (Spark), store results in S3 (Parquet), query with Athena, and orchestrate with Step Functions. 4. Master IAM policies for data lake access and Lake Formation. 5. Practice with the official AWS Practice Exam and third-party simulators (e.g., Tutorials Dojo). 6. Review re:Invent sessions on modern data architecture. Expected study time: 80–120 hours for experienced data engineers; 150+ hours for those newer to AWS.