- A
AWS Database Migration Service (DMS) with S3 as target
AWS DMS minimizes source impact by using change data capture and supports S3 as a target.
- B
AWS Glue ETL jobs with JDBC connection
Why wrong: AWS Glue can read from Oracle but may cause significant load on the source during full table scans.
- C
Amazon Kinesis Data Firehose with Oracle as source
Why wrong: Kinesis Data Firehose cannot directly connect to Oracle as a source.
- D
AWS Data Pipeline with SQLActivity
Why wrong: AWS Data Pipeline is a legacy service; AWS DMS is more suitable for database migrations.
Question 10 of 1,786
AWS Database Migration Service (DMS) for Oracle to S3 Data Migration
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 data engineer needs to ingest data from an on-premises Oracle database to Amazon S3 daily. The data volume is 500 GB per day, and the network bandwidth is 200 Mbps. The requirement is to minimize the impact on the source database and ensure data integrity. Which combination of AWS services should be used?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 Database Migration Service (DMS) with S3 as target
AWS DMS with S3 as target is correct because it supports continuous change data capture (CDC) from Oracle, minimizing impact on the source database by reading redo logs instead of querying tables directly. It can handle 500 GB/day over 200 Mbps (which yields ~2.16 TB/day theoretical max) and ensures data integrity via transactional consistency and validation checksums. DMS also automatically partitions large datasets and can resume from failures, making it ideal for daily bulk loads.
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) with S3 as target
Why this is correct
AWS DMS minimizes source impact by using change data capture and supports S3 as a target.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue ETL jobs with JDBC connection
Why it's wrong here
AWS Glue can read from Oracle but may cause significant load on the source during full table scans.
- ✗
Amazon Kinesis Data Firehose with Oracle as source
Why it's wrong here
Kinesis Data Firehose cannot directly connect to Oracle as a source.
- ✗
AWS Data Pipeline with SQLActivity
Why it's wrong here
AWS Data Pipeline is a legacy service; AWS DMS is more suitable for database migrations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume AWS Glue or Data Pipeline are suitable for database ingestion, but they lack the CDC and low-impact features of DMS, which is specifically designed for minimal source database load during large-scale migrations or replication.
Detailed technical explanation
How to think about this question
AWS DMS uses Oracle LogMiner or binary reader to capture changes from redo logs without adding triggers or extra queries, enabling near-zero impact on the source. For full-load tasks, DMS performs parallel table loading and automatically creates target S3 objects in Parquet or CSV format, with optional validation to compare row counts and checksums. A subtle behavior: DMS requires the Oracle source to have supplemental logging enabled for CDC, and the network bandwidth of 200 Mbps (25 MB/s) can transfer 500 GB in ~5.7 hours, leaving headroom for retries.
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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Data Ingestion and Transformation — study guide chapter
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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 Database Migration Service (DMS) with S3 as target — AWS DMS with S3 as target is correct because it supports continuous change data capture (CDC) from Oracle, minimizing impact on the source database by reading redo logs instead of querying tables directly. It can handle 500 GB/day over 200 Mbps (which yields ~2.16 TB/day theoretical max) and ensures data integrity via transactional consistency and validation checksums. DMS also automatically partitions large datasets and can resume from failures, making it ideal for daily bulk loads.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
2 more ways this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A data engineer needs to ingest data from an on-premises Oracle database into Amazon S3. The data volume is about 500 GB initially, with daily incremental updates of 10 GB. The pipeline must minimize operational overhead. Which AWS service should be used for the initial and incremental loads?
easy- ✓ A.AWS Database Migration Service (DMS) with change data capture (CDC) to Amazon S3.
- B.AWS Glue with a JDBC connection and incremental crawl.
- C.Amazon Kinesis Data Firehose with a custom producer.
- D.AWS Data Pipeline with a SQL activity and HiveCopyActivity.
Why A: AWS DMS with CDC is the correct choice because it supports continuous replication from Oracle to Amazon S3 with minimal overhead. It handles both the initial 500 GB full load and ongoing 10 GB daily increments via change data capture, without requiring custom code or complex pipeline management.
Variation 2. A data engineer needs to ingest data from an on-premises Oracle database into Amazon S3 on a nightly basis. The data volume is approximately 10 GB per night. The database is accessible over the internet. Which AWS service is MOST appropriate for this task?
easy- A.AWS Glue ETL job with a JDBC connection
- B.AWS DataSync
- C.AWS Transfer Family
- D.Amazon Kinesis Data Streams
Why : The most appropriate AWS service for nightly batch ingestion of data from an on-premises Oracle database into Amazon S3 is AWS Database Migration Service (DMS). DMS is designed for database migrations and can connect to on-premises databases over the internet, perform schema conversion if needed, and continuously replicate changes or run scheduled batch exports to S3. However, none of the provided options include DMS. AWS Glue ETL with a JDBC connection (A) can also perform this task but is less specialized and may require more configuration for schema handling and connectivity. AWS DataSync (B) is for file and object storage transfers, not database connections. AWS Transfer Family (C) supports file transfer protocols but does not natively connect to databases. Amazon Kinesis Data Streams (D) is for real-time streaming data, not batch ingestion.
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Last reviewed: Jul 4, 2026
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