- A
Convert all tables to use SORTKEY on the most frequently filtered column.
Why wrong: Sort keys optimize range-restricted scans, not distribution.
- B
Increase the number of nodes in the cluster to distribute data across more slices.
Why wrong: Adding nodes helps but may not fix distribution issues.
- C
Use the DISTSTYLE AUTO setting and analyze query patterns to let Redshift choose.
AUTO adapts distribution based on workload.
- D
Set all tables to DISTSTYLE EVEN to distribute data evenly.
Why wrong: EVEN reduces data skew but may increase network traffic for joins.
Optimizing Redshift Distribution with DISTSTYLE AUTO
This DEA-C01 practice question tests your understanding of data store management. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 uses Amazon Redshift for analytics. The data engineer notices that queries are slow and the system is experiencing high disk usage. The engineer suspects that the distribution style is suboptimal. Which action should the engineer take to improve query performance?
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 DISTSTYLE AUTO setting and analyze query patterns to let Redshift choose.
Option C is correct because DISTSTYLE AUTO allows Amazon Redshift to automatically assign distribution styles (KEY, EVEN, or ALL) based on query patterns and table size, optimizing data distribution for improved query performance. This is particularly effective when the engineer suspects suboptimal distribution but lacks detailed knowledge of the ideal key, as Redshift analyzes workload patterns to reduce data movement and disk usage.
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.
- ✗
Convert all tables to use SORTKEY on the most frequently filtered column.
Why it's wrong here
Sort keys optimize range-restricted scans, not distribution.
- ✗
Increase the number of nodes in the cluster to distribute data across more slices.
Why it's wrong here
Adding nodes helps but may not fix distribution issues.
- ✓
Use the DISTSTYLE AUTO setting and analyze query patterns to let Redshift choose.
Why this is correct
AUTO adapts distribution based on workload.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set all tables to DISTSTYLE EVEN to distribute data evenly.
Why it's wrong here
EVEN reduces data skew but may increase network traffic for joins.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse distribution style with sort key or node scaling, leading them to choose options that address symptoms (e.g., disk usage via node count) rather than the root cause of suboptimal data distribution.
Detailed technical explanation
How to think about this question
DISTSTYLE AUTO leverages Redshift's automatic table optimization (ATO) feature, which monitors query patterns and adjusts distribution styles and sort keys over time without manual intervention. Under the hood, Redshift's query planner evaluates join and aggregation patterns to choose between KEY (for co-located joins), EVEN (for uniform distribution), or ALL (for small dimension tables), minimizing data shuffling across the network. In a real-world scenario, a fact table joined with multiple dimension tables benefits from AUTO because it can assign KEY distribution on the join column for the fact table and ALL for small dimensions, reducing inter-node traffic.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the DISTSTYLE AUTO setting and analyze query patterns to let Redshift choose. — Option C is correct because DISTSTYLE AUTO allows Amazon Redshift to automatically assign distribution styles (KEY, EVEN, or ALL) based on query patterns and table size, optimizing data distribution for improved query performance. This is particularly effective when the engineer suspects suboptimal distribution but lacks detailed knowledge of the ideal key, as Redshift analyzes workload patterns to reduce data movement and disk usage.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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