- A
Set the Lambda function's batch size to a lower value (e.g., 10) and enable parallelization factor per shard.
Reduces the number of concurrent writes per shard, decreasing throttling.
- B
Increase the DynamoDB table's read capacity units to 1000.
Why wrong: The errors are write-related, not read.
- C
Configure the Lambda function event source mapping to retry with a maximum retry count and set the function to not discard failed records.
Ensures failed records are retried and not lost.
- D
Increase the Lambda function's reserved concurrency to 1000.
Why wrong: More concurrency may increase write pressure on DynamoDB.
- E
Increase the DynamoDB table's write capacity units maximum auto scaling limit to 5000.
Allows the table to scale up to handle write bursts.
Question 257 of 1,750
DOP-C02 Resilient Cloud Solutions Practice Question
This DOP-C02 practice question tests your understanding of resilient cloud solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 company runs a critical application on AWS Lambda functions that process real-time streaming data from Amazon Kinesis Data Streams. Each Lambda function processes a batch of records and writes results to an Amazon DynamoDB table. The application is sensitive to data loss and requires exactly-once processing semantics. Recently, the operations team observed that the Lambda function is failing intermittently with 'ProvisionedThroughputExceededException' errors from DynamoDB. The Lambda function's batch size is 100, and the function is configured with a reserved concurrency of 500. The DynamoDB table has 100 read capacity units (RCUs) and 100 write capacity units (WCUs) with auto scaling enabled up to 1000 WCUs. The function's execution role has the necessary DynamoDB permissions. The Kinesis stream has 10 shards. The DevOps engineer needs to resolve the throttling errors without losing data. Which combination of actions should the engineer take? (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
✓
Set the Lambda function's batch size to a lower value (e.g., 10) and enable parallelization factor per shard.
Option A is correct because reducing the batch size decreases the number of records processed per invocation, lowering the write load on DynamoDB. Note that enabling the parallelization factor per shard increases the number of concurrent invocations per shard, which could actually increase write pressure; therefore, if used, it must be accompanied by sufficient write capacity. Option C is correct because configuring the event source mapping to retry failed records ensures that records are not lost; the Lambda function can retry after throttling errors, supporting exactly-once semantics. Option E is correct because increasing the DynamoDB table's maximum write capacity auto scaling limit allows the table to scale to higher WCUs during bursts, reducing ProvisionedThroughputExceededExceptions. Option B is incorrect because the error is due to write capacity, not read capacity; increasing RCUs does not help. Option D is incorrect because increasing reserved concurrency would increase the number of concurrent Lambda invocations, potentially increasing writes and worsening throttling.
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 Lambda function's batch size to a lower value (e.g., 10) and enable parallelization factor per shard.
Why this is correct
Reduces the number of concurrent writes per shard, decreasing throttling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the DynamoDB table's read capacity units to 1000.
Why it's wrong here
The errors are write-related, not read.
- ✓
Configure the Lambda function event source mapping to retry with a maximum retry count and set the function to not discard failed records.
Why this is correct
Ensures failed records are retried and not lost.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the Lambda function's reserved concurrency to 1000.
Why it's wrong here
More concurrency may increase write pressure on DynamoDB.
- ✓
Increase the DynamoDB table's write capacity units maximum auto scaling limit to 5000.
Why this is correct
Allows the table to scale up to handle write bursts.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
Visual reference
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.
Identify which DOP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Resilient Cloud Solutions — study guide chapter
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FAQ
Questions learners often ask
What does this DOP-C02 question test?
Resilient Cloud Solutions — This question tests Resilient Cloud Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set the Lambda function's batch size to a lower value (e.g., 10) and enable parallelization factor per shard. — Option A is correct because reducing the batch size decreases the number of records processed per invocation, lowering the write load on DynamoDB. Note that enabling the parallelization factor per shard increases the number of concurrent invocations per shard, which could actually increase write pressure; therefore, if used, it must be accompanied by sufficient write capacity. Option C is correct because configuring the event source mapping to retry failed records ensures that records are not lost; the Lambda function can retry after throttling errors, supporting exactly-once semantics. Option E is correct because increasing the DynamoDB table's maximum write capacity auto scaling limit allows the table to scale to higher WCUs during bursts, reducing ProvisionedThroughputExceededExceptions. Option B is incorrect because the error is due to write capacity, not read capacity; increasing RCUs does not help. Option D is incorrect because increasing reserved concurrency would increase the number of concurrent Lambda invocations, potentially increasing writes and worsening throttling.
What should I do if I get this DOP-C02 question wrong?
Identify which DOP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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