DEA-C01 Data Ingestion and Transformation Practice Question
A company uses Amazon Kinesis Data Streams to ingest clickstream data from a website. The data is consumed by an AWS Lambda function that writes to Amazon DynamoDB. The Lambda function is seeing high error rates due to DynamoDB write throttling. Which action should be taken to reduce throttling?
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
✓
Enable auto scaling on the DynamoDB table
Enabling DynamoDB auto scaling increases write capacity automatically when needed. Using Kinesis Data Firehose would change the architecture but does not address throttling directly. Increasing Lambda memory does not help with DynamoDB throttling. Using SQS would add a queue but does not increase DynamoDB capacity.
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 Amazon Kinesis Data Firehose instead of Kinesis Data Streams
Why it's wrong here
Firehose delivers to S3, not DynamoDB directly, and does not solve throttling.
- ✗
Add an Amazon SQS queue between Lambda and DynamoDB
Why it's wrong here
SQS would buffer requests but does not increase DynamoDB capacity; throttling could still occur.
- ✗
Increase the Lambda function memory
Why it's wrong here
Lambda memory does not affect DynamoDB write capacity.
- ✓
Enable auto scaling on the DynamoDB table
Why this is correct
Auto scaling adjusts write capacity to handle spikes and reduce throttling.
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 |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-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 DEA-C01 exam.