- A
Run VACUUM and ANALYZE before loading
Why wrong: VACUUM is for sorting, not load performance.
- B
Use the COPY command to load data from S3 in parallel
COPY is optimized for bulk loading.
- C
Increase the number of nodes in the Redshift cluster
Why wrong: Changes cluster configuration.
- D
Apply compression encoding on the staging table
Why wrong: Compression helps storage but not load speed significantly.
Question 1,215 of 1,755
Optimize Amazon Redshift Load Performance with the COPY Command
This MLS-C01 practice question tests your understanding of data engineering. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 retail company uses Amazon Redshift for its data warehouse. The data engineering team runs ETL jobs that load data from multiple sources into Redshift daily. They notice that the load performance is slow and the cluster CPU utilization is high during the ETL window. The team wants to improve load performance without changing the cluster configuration. They currently load data using INSERT statements from a staging table. What should they do?
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 the COPY command to load data from S3 in parallel
The COPY command is the most efficient way to load large amounts of data into Amazon Redshift because it uses the cluster's nodes in parallel to read data from Amazon S3, maximizing throughput. Option A (VACUUM and ANALYZE) are maintenance operations that reclaim space and update statistics, but they do not improve load performance. Option C (increasing node count) contradicts the requirement to not change cluster configuration. Option D (compression encoding) can reduce storage and improve scan performance but does not significantly speed up the initial load.
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.
- ✗
Run VACUUM and ANALYZE before loading
Why it's wrong here
VACUUM is for sorting, not load performance.
- ✓
Use the COPY command to load data from S3 in parallel
Why this is correct
COPY is optimized for bulk loading.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the number of nodes in the Redshift cluster
Why it's wrong here
Changes cluster configuration.
- ✗
Apply compression encoding on the staging table
Why it's wrong here
Compression helps storage but not load speed significantly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the COPY command to load data from S3 in parallel — The COPY command is the most efficient way to load large amounts of data into Amazon Redshift because it uses the cluster's nodes in parallel to read data from Amazon S3, maximizing throughput. Option A (VACUUM and ANALYZE) are maintenance operations that reclaim space and update statistics, but they do not improve load performance. Option C (increasing node count) contradicts the requirement to not change cluster configuration. Option D (compression encoding) can reduce storage and improve scan performance but does not significantly speed up the initial load.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This MLS-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 MLS-C01 exam.
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