- A
Amazon Kinesis Data Streams
Kinesis Data Streams can ingest high-throughput streaming data.
- B
Amazon RDS
Why wrong: RDS is not ideal for high-velocity IoT data.
- C
Amazon DynamoDB
DynamoDB is scalable and durable for IoT data storage.
- D
AWS Lambda
Lambda can process streaming data from Kinesis.
- E
Amazon SQS
Why wrong: SQS is a message queue, not a streaming service.
Question 1,131 of 1,616
Serverless IoT Streaming Data Pipeline — Kinesis, DynamoDB, Lambda
This DVA-C02 practice question tests your understanding of development with aws services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 designing a serverless application that processes streaming data from IoT devices. The application must be able to handle data from millions of devices and store the data in a durable, scalable data store. Which AWS services should the developer use? (Choose THREE.)
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
✓
Amazon Kinesis Data Streams
Amazon Kinesis Data Streams is designed for real-time streaming of large volumes of data, such as from millions of IoT devices. It can ingest and store data durably for up to 365 days, making it ideal for the ingestion layer of this serverless application.
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.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Kinesis Data Streams can ingest high-throughput streaming data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon RDS
Why it's wrong here
RDS is not ideal for high-velocity IoT data.
- ✓
Amazon DynamoDB
Why this is correct
DynamoDB is scalable and durable for IoT data storage.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
AWS Lambda
Why this is correct
Lambda can process streaming data from Kinesis.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon SQS
Why it's wrong here
SQS is a message queue, not a streaming service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon SQS as a streaming ingestion service, but SQS is a message queue for decoupling, not a streaming data store with replay capabilities like Kinesis Data Streams.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards to scale throughput, with each shard supporting up to 1 MB/s or 1,000 records/s for writes. DynamoDB can serve as the durable storage layer, with on-demand capacity mode automatically scaling to handle millions of writes per second from Lambda functions processing Kinesis records. Lambda integrates natively with Kinesis via event source mappings, processing records in batches and handling retries with a configurable maximum record age.
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.
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
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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: Amazon Kinesis Data Streams — Amazon Kinesis Data Streams is designed for real-time streaming of large volumes of data, such as from millions of IoT devices. It can ingest and store data durably for up to 365 days, making it ideal for the ingestion layer of this serverless application.
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
This DVA-C02 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 DVA-C02 exam.
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