Quick Answer
The answer is AWS Glue, as it provides a built-in DynamoDB-to-S3 export feature that requires no custom code. You simply create a Glue job using the ‘Export DynamoDB table to S3’ blueprint, which automatically handles schema inference, data conversion, and partitioning into formats like Parquet or CSV. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your knowledge of managed ETL services versus manual scripting—a common trap is choosing AWS Data Pipeline or Lambda, but those require custom code or additional configuration. Remember that Glue is the only service with a purpose-built, no-code blueprint for this exact DynamoDB export to S3 workflow. Memory tip: think “Glue sticks DynamoDB to S3 without coding.”
This DBS-C01 practice question tests your understanding of management and operations. 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 using Amazon DynamoDB and needs to export data to Amazon S3 for analysis. Which AWS service can perform this export without writing custom code?
AWS Data Pipeline
Why wrong: Data Pipeline can do this but requires more configuration.
Amazon EMR
Why wrong: EMR requires custom code and cluster management.
AWS Glue
Glue can run ETL jobs to export DynamoDB data to S3.
DynamoDB Console
Why wrong: The console does not support direct export to S3.
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 Glue
AWS Glue provides a built-in DynamoDB-to-S3 export feature that requires no custom code. You can create a Glue job using the 'Export DynamoDB table to S3' blueprint, which automatically handles schema inference, data conversion, and partitioning. This is the only option that directly supports the export without writing any code.
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 can do this but requires more configuration.
Amazon EMR
Why it's wrong here
EMR requires custom code and cluster management.
AWS Glue
Why this is correct
Glue can run ETL jobs to export DynamoDB data to S3.
Related concept
Read the scenario before looking for a memorised answer.
DynamoDB Console
Why it's wrong here
The console does not support direct export to S3.
Common exam traps
The trap here is that candidates may choose AWS Data Pipeline because it is a traditional ETL service, but they overlook that AWS Glue now offers a simpler, code-free export blueprint specifically for DynamoDB-to-S3, making it the most direct answer.
Detailed technical explanation
Under the hood, AWS Glue uses a Spark-based ETL engine that reads directly from DynamoDB via the DynamoDB InputFormat and writes to S3 in formats like Parquet or JSON. The Glue job can handle large tables by parallelizing reads across partitions, and it automatically manages schema evolution and data type conversions. In a real-world scenario, this is ideal for periodic exports (e.g., daily) where you want to avoid provisioning EMR clusters or writing Spark code.
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
Management and Operations — This question tests Management and Operations — Read the scenario before looking for a memorised answer..
The correct answer is: AWS Glue — AWS Glue provides a built-in DynamoDB-to-S3 export feature that requires no custom code. You can create a Glue job using the 'Export DynamoDB table to S3' blueprint, which automatically handles schema inference, data conversion, and partitioning. This is the only option that directly supports the export without writing any code.
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 DBS-C01 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 DBS-C01 exam.
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