- A
Use AWS DMS to directly migrate data to Redshift with full load and ongoing replication.
Why wrong: DMS can load data, but schema conversion from Oracle to Redshift is needed first.
- B
Export data to flat files, use S3 Transfer Acceleration to upload to S3, then COPY into Redshift.
Why wrong: This approach does not convert the schema; Redshift requires a columnar schema.
- C
Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data.
SCT handles schema conversion, DMS handles data migration efficiently.
- D
Use AWS Glue to crawl the Oracle schema and create Redshift tables, then run a Glue ETL job to load data.
Why wrong: Glue can do ETL but is not optimized for large-scale migration with schema conversion like SCT.
Quick Answer
The correct strategy is to use AWS Schema Conversion Tool (SCT) to convert the Oracle schema to a Redshift-compatible format, then load the data with AWS Database Migration Service (DMS). This approach is essential because Redshift is a columnar data warehouse optimized for denormalized, star-schema designs, while Oracle is row-based and heavily normalized with complex joins; SCT handles the schema transformation automatically, and DMS efficiently streams the 5 TB dataset within the 2-day maintenance window. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your understanding of migration patterns for data warehouses, specifically that direct copy tools or S3 Transfer Acceleration alone cannot address schema incompatibility, and AWS Glue, while capable for ETL, is not purpose-built for large-scale schema conversion and bulk loading. A common trap is assuming any data loading tool works without schema adaptation, so remember the memory tip: “SCT for the structure, DMS for the data.”
DBS-C01 Deployment and Migration Practice Question
This DBS-C01 practice question tests your understanding of deployment and migration. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 planning to migrate a 5 TB Oracle data warehouse to Amazon Redshift. The migration must be completed within a 2-day maintenance window. The source database is heavily normalized and uses complex joins. Which strategy is most appropriate?
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
Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data.
Option B is correct because Redshift is columnar and optimized for denormalized schemas; using SCT to convert the schema and DMS for data loading is the standard approach. Option A is wrong because direct copy does not account for schema conversion. Option C is wrong because S3 Transfer Acceleration only speeds up uploads, not schema conversion. Option D is wrong because Glue is for ETL but not purpose-built for large-scale data warehouse migration with schema conversion.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use AWS DMS to directly migrate data to Redshift with full load and ongoing replication.
Why it's wrong here
DMS can load data, but schema conversion from Oracle to Redshift is needed first.
- ✗
Export data to flat files, use S3 Transfer Acceleration to upload to S3, then COPY into Redshift.
Why it's wrong here
This approach does not convert the schema; Redshift requires a columnar schema.
- ✓
Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data.
Why this is correct
SCT handles schema conversion, DMS handles data migration efficiently.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Use AWS Glue to crawl the Oracle schema and create Redshift tables, then run a Glue ETL job to load data.
Why it's wrong here
Glue can do ETL but is not optimized for large-scale migration with schema conversion like SCT.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
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Deployment and Migration — study guide chapter
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Deployment and Migration — This question tests Deployment and Migration — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use AWS SCT to convert the Oracle schema to Redshift-compatible format, then use AWS DMS to load the data. — Option B is correct because Redshift is columnar and optimized for denormalized schemas; using SCT to convert the schema and DMS for data loading is the standard approach. Option A is wrong because direct copy does not account for schema conversion. Option C is wrong because S3 Transfer Acceleration only speeds up uploads, not schema conversion. Option D is wrong because Glue is for ETL but not purpose-built for large-scale data warehouse migration with schema conversion.
What should I do if I get this DBS-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 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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