- A
Decrease the batch size in the KCL configuration.
Why wrong: Decreasing the batch size reduces the number of records processed per call, which typically lowers throughput, not improves it.
- B
Increase the number of shards in the Kinesis stream.
Why wrong: Increasing the number of shards increases stream capacity but does not directly help a lagging consumer; it may require more workers to handle the extra shards.
- C
Increase the Kinesis stream's retention period to 7 days.
Why wrong: Extending the retention period affects data availability, not processing speed.
- D
Increase the number of EC2 instances running the consumer application.
Adding more EC2 instances adds workers, allowing KCL to distribute shards across them, increasing parallel processing and improving throughput.
SAP-C02 KCL Worker-Shard Mapping Practice Question
This SAP-C02 practice question tests your understanding of continuous improvement for existing solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: kCL Worker-Shard Mapping. 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 real-time analytics platform on Amazon Kinesis Data Streams with multiple consumers. The stream is provisioned with 10 shards. One consumer is falling behind, causing data latency. The consumer reads data using the Kinesis Client Library (KCL). Which action will improve the consumer's processing throughput?
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
Increase the number of EC2 instances running the consumer application.
The correct answer is D because the Kinesis Client Library (KCL) distributes shard processing across workers. Increasing the number of EC2 instances running the consumer application adds more workers, allowing parallel processing of shards and thus improving throughput for the lagging consumer. Option A is incorrect because decreasing the batch size reduces the number of records processed per call, which typically lowers throughput. Option B is incorrect because increasing the number of shards increases the stream's total capacity but does not directly help a consumer that is already falling behind; it may actually require more workers to handle the additional shards. Option C is incorrect because extending the retention period affects how long data is stored, not how quickly it is processed.
Key principle: KCL Worker-Shard Mapping
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Decrease the batch size in the KCL configuration.
Why it's wrong here
Decreasing the batch size reduces the number of records processed per call, which typically lowers throughput, not improves it.
- ✗
Increase the number of shards in the Kinesis stream.
Why it's wrong here
Increasing the number of shards increases stream capacity but does not directly help a lagging consumer; it may require more workers to handle the extra shards.
- ✗
Increase the Kinesis stream's retention period to 7 days.
Why it's wrong here
Extending the retention period affects data availability, not processing speed.
- ✓
Increase the number of EC2 instances running the consumer application.
Why this is correct
Adding more EC2 instances adds workers, allowing KCL to distribute shards across them, increasing parallel processing and improving throughput.
Related concept
KCL Worker-Shard Mapping
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often think that increasing shards directly improves consumer throughput, but the consumer's processing capacity depends on the number of workers. Adding shards without adding workers can worsen the lag.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- KCL Worker-Shard Mapping
- Horizontal Scaling for Consumers
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
KCL Worker-Shard Mapping
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. KCL Worker-Shard Mapping Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review kCL Worker-Shard Mapping, then practise related SAP-C02 questions on the same topic to reinforce the concept.
- →
Continuous Improvement for Existing Solutions — study guide chapter
Learn the concepts, then practise the questions
- →
Continuous Improvement for Existing Solutions practice questions
Targeted practice on this topic area only
- →
All SAP-C02 questions
1,746 questions across all exam domains
- →
AWS Certified Solutions Architect Professional SAP-C02 study guide
Full concept coverage aligned to exam objectives
- →
SAP-C02 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related SAP-C02 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Design Solutions for Organizational Complexity practice questions
Practise SAP-C02 questions linked to Design Solutions for Organizational Complexity.
Design for New Solutions practice questions
Practise SAP-C02 questions linked to Design for New Solutions.
Continuous Improvement for Existing Solutions practice questions
Practise SAP-C02 questions linked to Continuous Improvement for Existing Solutions.
Accelerate Workload Migration and Modernization practice questions
Practise SAP-C02 questions linked to Accelerate Workload Migration and Modernization.
SAA-C03 VPC practice questions
Practise SAP-C02 questions linked to SAA-C03 VPC.
SAA-C03 S3 lifecycle policy questions
Practise SAP-C02 questions linked to SAA-C03 S3 lifecycle policy questions.
SAA-C03 RDS Multi-AZ questions
Practise SAP-C02 questions linked to SAA-C03 RDS Multi-AZ questions.
SAA-C03 IAM policy practice questions
Practise SAP-C02 questions linked to SAA-C03 IAM policy.
SAA-C03 Route 53 failover questions
Practise SAP-C02 questions linked to SAA-C03 Route 53 failover questions.
SAA-C03 CloudFront practice questions
Practise SAP-C02 questions linked to SAA-C03 CloudFront.
SAA-C03 NAT gateway questions
Practise SAP-C02 questions linked to SAA-C03 NAT gateway questions.
SAA-C03 VPC endpoint questions
Practise SAP-C02 questions linked to SAA-C03 VPC endpoint questions.
Practice this exam
Start a free SAP-C02 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this SAP-C02 question test?
Continuous Improvement for Existing Solutions — This question tests Continuous Improvement for Existing Solutions — KCL Worker-Shard Mapping.
What is the correct answer to this question?
The correct answer is: Increase the number of EC2 instances running the consumer application. — The correct answer is D because the Kinesis Client Library (KCL) distributes shard processing across workers. Increasing the number of EC2 instances running the consumer application adds more workers, allowing parallel processing of shards and thus improving throughput for the lagging consumer. Option A is incorrect because decreasing the batch size reduces the number of records processed per call, which typically lowers throughput. Option B is incorrect because increasing the number of shards increases the stream's total capacity but does not directly help a consumer that is already falling behind; it may actually require more workers to handle the additional shards. Option C is incorrect because extending the retention period affects how long data is stored, not how quickly it is processed.
What should I do if I get this SAP-C02 question wrong?
Review kCL Worker-Shard Mapping, then practise related SAP-C02 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
KCL Worker-Shard Mapping
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
More SAP-C02 practice questions
- A company wants to automate the migration of on-premises servers to AWS. The migration plan includes discovery, assessme…
- A company is using AWS Organizations with hundreds of accounts. The central IT team needs to deploy a common set of AWS…
- A multinational company operates a multi-account AWS environment using AWS Organizations. The security team needs to enf…
- A company has a multi-account AWS environment with a centralized logging account. The security team needs to analyze VPC…
- A company has multiple AWS accounts and wants to centralize logging of all API calls. Which TWO services should be used…
- Match each AWS compute service to its use case.
Last reviewed: Jun 20, 2026
This SAP-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 SAP-C02 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.