Quick Answer
AWS Step Functions is the correct choice because it is purpose-built to orchestrate complex, multi-step data lake transformation pipelines with conditional branching, retries, and error handling. In this scenario, Step Functions coordinates AWS Lambda, AWS Glue, and other services to process data from a raw S3 bucket into a curated bucket, handling the conditional transformations that simpler services like Amazon S3 events or a single Lambda function cannot manage alone. On the AWS Certified Solutions Architect Professional SAP-C02 exam, this question tests your understanding of workflow orchestration versus point-to-point integration—a common trap is choosing AWS Glue workflows, which lack the fine-grained branching and state management of Step Functions. Remember, if the pipeline requires “if-this-then-that” logic, retries, or human approval steps, Step Functions is the orchestration backbone. Memory tip: think “Step Functions for stateful steps” in any multi-service data lake pipeline.
This SAP-C02 practice question tests your understanding of design for new solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is designing a data lake solution on Amazon S3. Data is ingested from multiple sources and stored in a raw bucket. The data must be processed and transformed before being moved to a curated bucket. The processing logic is complex and includes conditional transformations. Which service should be used to orchestrate the transformation pipeline?
AWS Data Pipeline
Why wrong: Data Pipeline is legacy and less flexible than Step Functions.
AWS Step Functions
Step Functions can orchestrate complex workflows with conditional branching.
AWS Lambda functions
Why wrong: Lambda is for individual functions; orchestration would require custom code.
AWS Glue ETL jobs
Why wrong: Glue ETL is for data transformation, not orchestration of multi-step pipelines.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AWS Step Functions
AWS Step Functions is the correct choice because it is designed to orchestrate complex, multi-step workflows with conditional branching, retries, and error handling. It can coordinate AWS Lambda functions, AWS Glue jobs, and other services to process and transform data from a raw S3 bucket to a curated bucket, making it ideal for a transformation pipeline with complex logic.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
AWS Data Pipeline
Why it's wrong here
Data Pipeline is legacy and less flexible than Step Functions.
AWS Step Functions
Why this is correct
Step Functions can orchestrate complex workflows with conditional branching.
Related concept
Read the scenario before looking for a memorised answer.
AWS Lambda functions
Why it's wrong here
Lambda is for individual functions; orchestration would require custom code.
AWS Glue ETL jobs
Why it's wrong here
Glue ETL is for data transformation, not orchestration of multi-step pipelines.
Common exam traps
The trap here is that candidates often confuse AWS Glue ETL jobs as an orchestration tool because it can transform data, but Glue is a processing engine, not a workflow orchestrator; Step Functions is the correct service for coordinating complex, conditional pipelines.
Detailed technical explanation
AWS Step Functions uses Amazon States Language (ASL) to define state machines that can include parallel branches, choice states for conditional logic, and task states that invoke other AWS services. In a data lake scenario, Step Functions can trigger a Lambda function to validate raw data, then run a Glue ETL job for transformation, and finally move the output to the curated bucket, all while handling failures with built-in retry and catch policies.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Design for New Solutions — This question tests Design for New Solutions — Read the scenario before looking for a memorised answer..
The correct answer is: AWS Step Functions — AWS Step Functions is the correct choice because it is designed to orchestrate complex, multi-step workflows with conditional branching, retries, and error handling. It can coordinate AWS Lambda functions, AWS Glue jobs, and other services to process and transform data from a raw S3 bucket to a curated bucket, making it ideal for a transformation pipeline with complex logic.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This SAP-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAP-C02 exam.
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