The correct answer is to batch multiple document inserts into a single transaction, as this directly addresses the need to avoid throttling in Amazon QLDB under high write throughput. QLDB enforces a hard limit of 1,000 transactions per second per ledger, and each transaction incurs a separate I/O cost regardless of how many documents it contains. By grouping several document inserts into one transaction, you dramatically reduce the transaction count while still writing the same volume of data, effectively staying under the throughput ceiling without compromising the ledger’s immutability. On the AWS Certified Database Specialty DBS-C01 exam, this concept tests your understanding that QLDB’s throttling is transaction-based, not document-based—a common trap is assuming you need to increase ledger capacity or switch to a different database. Remember the mnemonic: “Batch to beat the cap”—fewer transactions means no throttling, even at peak write loads.
DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. 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 financial services company is designing a ledger system using Amazon QLDB. The application records transactions that must never be modified or deleted. The company expects high write throughput and needs to ensure that the ledger can handle the load without throttling. Which design consideration is MOST important to achieve this?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "never"
Why it matters: Absolute qualifier. True only if the statement has zero exceptions — be cautious of options that seem obvious but break down in edge cases.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Batch multiple document inserts into a single transaction to reduce the number of transactions.
Option D is correct because Amazon QLDB charges per transaction (document insert, update, or delete) and has a maximum throughput limit of 1,000 transactions per second per ledger. By batching multiple document inserts into a single transaction, you reduce the number of transactions, thereby staying within the throughput limit while still achieving high write throughput. This approach directly addresses the need to avoid throttling without sacrificing the immutability requirements of the ledger system.
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.
✗
Partition the ledger table by transaction date to distribute write load.
Why it's wrong here
QLDB does not support partitioning; it is a single ledger.
✗
Create multiple ledgers and distribute writes across them.
Why it's wrong here
Multiple ledgers add complexity and do not increase the throughput of a single ledger.
✗
Enable auto-scaling on the ledger to handle bursts of traffic.
Why it's wrong here
QLDB automatically scales within its limits, but cannot exceed the maximum throughput per ledger.
✓
Batch multiple document inserts into a single transaction to reduce the number of transactions.
Why this is correct
Batching reduces the number of transactions, helping to stay within throughput limits.
Clue confirmation
The clue word "never" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume QLDB supports auto-scaling like DynamoDB or Aurora, but QLDB has a fixed throughput limit and requires batching to handle high write loads without throttling.
Detailed technical explanation
How to think about this question
Under the hood, QLDB uses a journal-based architecture where each transaction is committed to an immutable journal. Batching inserts into a single transaction reduces the number of journal commits, which directly lowers the transaction count against the 1,000 TPS limit. In a real-world scenario, a high-frequency trading system might batch thousands of trade records into a single transaction to maximize throughput while maintaining strict immutability and auditability.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Batch multiple document inserts into a single transaction to reduce the number of transactions. — Option D is correct because Amazon QLDB charges per transaction (document insert, update, or delete) and has a maximum throughput limit of 1,000 transactions per second per ledger. By batching multiple document inserts into a single transaction, you reduce the number of transactions, thereby staying within the throughput limit while still achieving high write throughput. This approach directly addresses the need to avoid throttling without sacrificing the immutability requirements of the ledger system.
What should I do if I get this DBS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "never". Absolute qualifier. True only if the statement has zero exceptions — be cautious of options that seem obvious but break down in edge cases.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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