- A
Set the function's concurrency to the number of shards and enable parallelization factor.
Why wrong: This would allow multiple instances per shard, breaking ordering.
- B
Set the batch size to 1 and configure the function's reserved concurrency to 1.
Batch size 1 ensures records are processed one at a time, and reserved concurrency 1 ensures only one instance processes all shards sequentially.
- C
Set the batch size to 100 and enable parallelization factor per shard.
Why wrong: Parallelization factor allows concurrent processing of batches from the same shard, breaking ordering.
- D
Use a DynamoDB table to track sequence numbers and enforce ordering.
Why wrong: This adds complexity and is not a built-in feature; Kinesis ensures ordering per shard.
Question 1,613 of 1,616
Lambda for Kinesis Ordered Processing Per Shard
This DVA-C02 practice question tests your understanding of development with aws services. 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 developer is writing a Lambda function that processes events from an Amazon Kinesis stream. The function must ensure that records are processed in the order they were received and that each shard is processed by only one instance of the function at a time. How should the developer configure the Lambda function?
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
✓
Set the batch size to 1 and configure the function's reserved concurrency to 1.
Option B is correct because setting the batch size to 1 ensures that each invocation of the Lambda function processes a single record at a time, preserving the order of records within a shard. Configuring reserved concurrency to 1 guarantees that only one instance of the function can process a given shard at any moment, preventing concurrent processing that could reorder records. This combination enforces strict sequential processing per shard, which is required for ordered event handling from a Kinesis stream.
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.
- ✗
Set the function's concurrency to the number of shards and enable parallelization factor.
Why it's wrong here
This would allow multiple instances per shard, breaking ordering.
- ✓
Set the batch size to 1 and configure the function's reserved concurrency to 1.
Why this is correct
Batch size 1 ensures records are processed one at a time, and reserved concurrency 1 ensures only one instance processes all shards sequentially.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set the batch size to 100 and enable parallelization factor per shard.
Why it's wrong here
Parallelization factor allows concurrent processing of batches from the same shard, breaking ordering.
- ✗
Use a DynamoDB table to track sequence numbers and enforce ordering.
Why it's wrong here
This adds complexity and is not a built-in feature; Kinesis ensures ordering per shard.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume increasing concurrency or batch size improves throughput, but for ordered processing per shard, you must restrict concurrency to 1 and use a batch size of 1 to avoid reordering and concurrent shard processing.
Detailed technical explanation
How to think about this question
Under the hood, Kinesis Data Streams uses shards as the unit of parallelism for Lambda integration. When you set reserved concurrency to 1, Lambda ensures that only one invocation is active for the entire function, which effectively serializes processing across all shards—but since each shard's records are delivered in order and batch size is 1, records within a shard are processed sequentially. A subtle behavior is that if the function fails, Lambda will retry the same record until success or expiration, maintaining order; however, this can lead to head-of-line blocking if a record consistently fails, which is a trade-off for strict ordering.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Development with AWS Services — This question tests Development with AWS Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set the batch size to 1 and configure the function's reserved concurrency to 1. — Option B is correct because setting the batch size to 1 ensures that each invocation of the Lambda function processes a single record at a time, preserving the order of records within a shard. Configuring reserved concurrency to 1 guarantees that only one instance of the function can process a given shard at any moment, preventing concurrent processing that could reorder records. This combination enforces strict sequential processing per shard, which is required for ordered event handling from a Kinesis stream.
What should I do if I get this DVA-C02 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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