- A
Use the ConsistentRead parameter set to true in GetItem and Query operations.
This ensures strongly consistent reads.
- B
Use DynamoDB read replicas to offload read traffic.
Why wrong: DynamoDB does not have read replicas; that is an RDS feature.
- C
Configure DynamoDB global tables for multi-region replication.
Global tables provide disaster recovery across regions.
- D
Enable DynamoDB Streams to capture changes.
Correct. DynamoDB Streams capture item-level changes, enabling change data capture that can be used for cross-region replication or other recovery mechanisms.
- E
Implement DAX (DynamoDB Accelerator) for caching.
Why wrong: Incorrect. DAX (DynamoDB Accelerator) is an in-memory cache that improves read performance but does not provide strong consistency or recovery from failures. It does not replicate data for disaster recovery.
DynamoDB Strong Consistency and Disaster Recovery: Using ConsistentRead and Global Tables
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. A key principle to apply: strongly Consistent Read. 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 using Amazon DynamoDB as a data store for a serverless application. The application requires strongly consistent reads and must be able to recover from failures. Which THREE measures should the developer implement? (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
Use the ConsistentRead parameter set to true in GetItem and Query operations.
To meet the requirements of strongly consistent reads and recovery from failures, the developer should implement the following measures: - **A**: Using the `ConsistentRead` parameter set to `true` in `GetItem` and `Query` operations ensures strongly consistent reads, guaranteeing the most up-to-date data after a write. - **C**: Configuring DynamoDB global tables provides multi-region replication, enabling disaster recovery by replicating data across AWS regions. - **D**: Enabling DynamoDB Streams captures item-level changes, which can be used to replicate data to other tables or regions for recovery purposes. Option B is incorrect because DynamoDB does not support read replicas like traditional databases. Option E (DAX) is a caching layer that improves read performance but does not provide failure recovery or strong consistency; it serves eventually consistent data by default.
Key principle: Strongly Consistent Read
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 the ConsistentRead parameter set to true in GetItem and Query operations.
Why this is correct
This ensures strongly consistent reads.
Related concept
Strongly Consistent Read
- ✗
Use DynamoDB read replicas to offload read traffic.
Why it's wrong here
DynamoDB does not have read replicas; that is an RDS feature.
- ✓
Configure DynamoDB global tables for multi-region replication.
Why this is correct
Global tables provide disaster recovery across regions.
Related concept
Strongly Consistent Read
- ✓
Enable DynamoDB Streams to capture changes.
Why this is correct
Correct. DynamoDB Streams capture item-level changes, enabling change data capture that can be used for cross-region replication or other recovery mechanisms.
Related concept
Strongly Consistent Read
- ✗
Implement DAX (DynamoDB Accelerator) for caching.
Why it's wrong here
Incorrect. DAX (DynamoDB Accelerator) is an in-memory cache that improves read performance but does not provide strong consistency or recovery from failures. It does not replicate data for disaster recovery.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap is confusing DAX (performance enhancement) with a recovery mechanism, or assuming DynamoDB has read replicas like RDS. Avoid selecting options that only improve performance or are not available for DynamoDB.
Detailed technical explanation
How to think about this question
DynamoDB global tables (Option C) provide multi-region, multi-active replication with eventual consistency across regions, enabling disaster recovery and low-latency access. DAX (Option E) is an in-memory cache that offloads read traffic and reduces latency, but it serves eventually consistent data by default; however, it can be configured for strongly consistent reads by bypassing the cache or using `ConsistentRead=true`. Under the hood, strongly consistent reads in DynamoDB read from the primary replica in a partition, ensuring the latest write is returned, but they consume more read capacity units (RCUs) than eventually consistent reads.
KKey Concepts to Remember
- Strongly Consistent Read
- Global Tables
- DynamoDB Streams
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
Strongly Consistent Read
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. Strongly Consistent Read 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
Got this wrong? Here's your next step.
Review strongly Consistent Read, then practise related DVA-C02 questions on the same topic to reinforce the concept.
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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 — Strongly Consistent Read.
What is the correct answer to this question?
The correct answer is: Use the ConsistentRead parameter set to true in GetItem and Query operations. — To meet the requirements of strongly consistent reads and recovery from failures, the developer should implement the following measures: - **A**: Using the `ConsistentRead` parameter set to `true` in `GetItem` and `Query` operations ensures strongly consistent reads, guaranteeing the most up-to-date data after a write. - **C**: Configuring DynamoDB global tables provides multi-region replication, enabling disaster recovery by replicating data across AWS regions. - **D**: Enabling DynamoDB Streams captures item-level changes, which can be used to replicate data to other tables or regions for recovery purposes. Option B is incorrect because DynamoDB does not support read replicas like traditional databases. Option E (DAX) is a caching layer that improves read performance but does not provide failure recovery or strong consistency; it serves eventually consistent data by default.
What should I do if I get this DVA-C02 question wrong?
Review strongly Consistent Read, then practise related DVA-C02 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Strongly Consistent Read
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Last reviewed: Jul 4, 2026
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