Question 1,465 of 1,786
Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

Quick Answer

The correct approach is to switch the Kinesis stream to on-demand capacity mode, as this enables automatic scaling without any manual intervention. On-demand mode dynamically adjusts the number of shards based on the incoming data traffic, handling unpredictable growth—like the expected 50% increase—by scaling up and down in real time, so you never have to provision or manage shard counts yourself. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of Kinesis scaling mechanisms versus manual or custom solutions; a common trap is confusing Auto Scaling groups (which are for EC2) or assuming CloudWatch Alarms natively scale Kinesis, but on-demand mode is the only fully managed, zero-code option. Remember the mnemonic “ODD” for On-Demand Does it—no shard math, no custom code, just automatic scaling.

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 data engineer is designing a streaming ingestion pipeline using Amazon Kinesis Data Streams. The stream has 10 shards, and the data volume is expected to grow by 50% over the next month. The engineer needs to ensure that the pipeline can scale without manual intervention. Which approach should be used?

Question 1hardmultiple choice
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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

Switch the Kinesis stream to on-demand capacity mode

Option B is correct because Kinesis Data Streams supports automatic scaling using the 'On-demand' capacity mode, which adjusts shards based on traffic. Option A is wrong because Auto Scaling groups are for EC2, not Kinesis. Option C is wrong because CloudWatch Alarms can trigger auto scaling, but scaling a Kinesis stream via API requires custom code; on-demand mode is simpler. Option D is wrong because Lambda does not natively scale the stream.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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 up a CloudWatch Alarm to trigger a Lambda function to add shards

    Why it's wrong here

    This is possible but requires custom logic; on-demand is simpler and recommended.

  • Use an Auto Scaling group to add more shards

    Why it's wrong here

    Auto Scaling groups are not applicable to Kinesis shards.

  • Switch the Kinesis stream to on-demand capacity mode

    Why this is correct

    On-demand mode automatically scales shards based on ingestion throughput.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Configure the stream to use a Lambda function that scales shards

    Why it's wrong here

    Lambda does not directly scale shards; it can be used with API but not natively.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Real-world example

How this comes up in practice

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: Switch the Kinesis stream to on-demand capacity mode — Option B is correct because Kinesis Data Streams supports automatic scaling using the 'On-demand' capacity mode, which adjusts shards based on traffic. Option A is wrong because Auto Scaling groups are for EC2, not Kinesis. Option C is wrong because CloudWatch Alarms can trigger auto scaling, but scaling a Kinesis stream via API requires custom code; on-demand mode is simpler. Option D is wrong because Lambda does not natively scale the stream.

What should I do if I get this DEA-C01 question wrong?

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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Last reviewed: Jun 20, 2026

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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.