DBS-C01 Deployment and Migration Practice Question
A company is migrating a 10 TB Oracle data warehouse to Amazon Redshift. The migration must minimize data transfer costs and ensure data integrity. Which TWO steps should the company take?
⚠ Common exam trap
It's easy for candidates to assume AWS DMS is always the best choice for database migrations, but for very large datasets (e.g., 10 TB) where cost minimization is a key requirement, physical transfer via Snowball Edge is more cost-effective and reliable than network-based replication.
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 Schema Conversion Tool (SCT) to convert the Oracle schema to Redshift
The AWS Schema Conversion Tool (SCT) is specifically designed to convert Oracle database schemas to Amazon Redshift-compatible schemas, handling data type mappings, stored procedures, and other schema objects. This step is critical for a successful migration as it ensures the target schema is optimized for Redshift's columnar storage and MPP architecture, reducing manual rework and potential data integrity issues.
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 replicate data directly over the internet
Why it's wrong here
Direct replication over internet for 10 TB can be costly and slow.
- ✗
Use Amazon Kinesis Data Streams to stream data to Redshift
Why it's wrong here
Kinesis is for real-time streaming, not bulk migration.
- ✗
Use Amazon Redshift Spectrum to query data in S3 after loading
Why it's wrong here
Spectrum is for querying external data, not for migration.
- ✓
Use AWS Schema Conversion Tool (SCT) to convert the Oracle schema to Redshift
Why this is correct
SCT helps convert and optimize schema for Redshift.
- ✓
Use AWS Snowball Edge to physically transfer the data
Why this is correct
Snowball Edge reduces network transfer costs for large datasets.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.