- A
AWS Database Migration Service (DMS)
Why wrong: DMS is designed for continuous migration, not scheduled batch transfers.
- B
AWS Data Pipeline
Why wrong: Data Pipeline is a legacy service; Glue is the modern replacement.
- C
Amazon Kinesis Data Firehose
Why wrong: Firehose is for streaming data, not batch.
- D
AWS Glue
Glue can run scheduled crawlers and ETL jobs for batch ingestion.
Question 745 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 wants to ingest data from an on-premises Oracle database into Amazon S3 on a daily basis. The data volume is 500 GB per transfer. Which AWS service is most appropriate for this batch ingestion?
Answer choices
Why each option matters
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 is the most appropriate service for this batch ingestion because it is purpose-built for ETL (Extract, Transform, Load) workflows, including connecting to on-premises databases via JDBC, extracting large volumes of data (500 GB per day), and writing it to Amazon S3 in a scheduled, serverless manner. Glue's built-in crawlers and job scheduler handle daily batch runs efficiently without requiring manual infrastructure management, making it ideal for this use case.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is designed for continuous migration, not scheduled batch transfers.
- ✗
AWS Data Pipeline
Why it's wrong here
Data Pipeline is a legacy service; Glue is the modern replacement.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose is for streaming data, not batch.
- ✓
AWS Glue
Why this is correct
Glue can run scheduled crawlers and ETL jobs for batch ingestion.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS Glue (batch ETL) with Amazon Kinesis Data Firehose (streaming), assuming both can handle any data ingestion, but Firehose cannot pull from a relational database and is not designed for large daily batch loads.
Detailed technical explanation
How to think about this question
Under the hood, AWS Glue uses Apache Spark in a serverless environment to execute ETL scripts, and it connects to Oracle via JDBC drivers, which can handle large datasets by partitioning the query (e.g., using WHERE clauses on primary keys) to parallelize reads. A subtle behavior is that Glue's default JDBC connection uses a single connection per partition, so for 500 GB, you must configure the number of partitions and fetch size to avoid memory bottlenecks or timeouts. In a real-world scenario, if the Oracle database is behind a firewall, you would need to set up a VPC endpoint or a Glue connection with a network interface in the same VPC as the database.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AWS Glue — AWS Glue is the most appropriate service for this batch ingestion because it is purpose-built for ETL (Extract, Transform, Load) workflows, including connecting to on-premises databases via JDBC, extracting large volumes of data (500 GB per day), and writing it to Amazon S3 in a scheduled, serverless manner. Glue's built-in crawlers and job scheduler handle daily batch runs efficiently without requiring manual infrastructure management, making it ideal for this use case.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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