Question 1,228 of 1,663
DBS-C01 Workload-Specific Database Design Practice Question
Which TWO techniques can reduce read latency for frequently accessed data in Amazon DynamoDB? (Choose 2.)
⚠ Common exam trap
Test-takers frequently confuse strongly consistent reads with performance optimization, not realizing that consistency guarantees come at the cost of higher latency, not lower.
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
✓
Add Global Secondary Indexes (GSI) for common query patterns
Adding Global Secondary Indexes (GSI) allows you to pre-materialize alternative query patterns, enabling efficient lookups on non-key attributes without scanning the entire table. This reduces read latency for frequently accessed data by providing a pre-sorted and partitioned index that DynamoDB can query directly, avoiding expensive full-table scans.
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 strongly consistent reads
Why it's wrong here
Strongly consistent reads are slower than eventually consistent.
- ✗
Increase write capacity units
Why it's wrong here
Does not affect read latency.
- ✗
Decrease read capacity units
Why it's wrong here
Reduces throughput, may increase latency due to throttling.
- ✓
Add Global Secondary Indexes (GSI) for common query patterns
Why this is correct
GSIs can provide efficient access to data.
- ✓
Enable DynamoDB Accelerator (DAX)
Why this is correct
In-memory cache reduces read latency.
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Last reviewed: Jun 24, 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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