SAP-C02 Design for New Solutions Practice Question
A company is building a data analytics pipeline. Raw data is ingested into an Amazon S3 bucket. The data must be transformed and loaded into Amazon Redshift for analysis. The pipeline must handle late-arriving data and ensure data consistency. Which THREE AWS services should the company use?
⚠ Common exam trap
Test-takers frequently confuse Amazon Kinesis Data Analytics for batch processing or assume Amazon EMR is required for any transformation, overlooking the serverless, event-driven capabilities of AWS Lambda and AWS Glue for S3-to-Redshift pipelines.
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 Lambda
AWS Lambda is correct because it can be triggered by S3 events to process late-arriving data in near real-time, transforming and loading it into Amazon Redshift. Lambda's serverless nature allows it to handle variable data arrival patterns without managing infrastructure, ensuring data consistency through idempotent processing logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
This is for real-time streaming analytics, not batch.
- ✓
AWS Lambda
Why this is correct
Lambda can trigger on S3 events for late-arriving data.
- ✗
Amazon EMR
Why it's wrong here
EMR is for big data processing but adds overhead.
- ✓
AWS Glue
Why this is correct
Glue can perform ETL and catalog data.
- ✓
Amazon Redshift
Why this is correct
Redshift is the data warehouse for analysis.
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 |
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This SAP-C02 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 SAP-C02 exam.