- A
Amazon Kinesis Data Analytics for Apache Flink
Kinesis Data Analytics for Flink can perform real-time stream enrichment by joining with DynamoDB.
- B
Amazon Kinesis Data Firehose
Why wrong: Firehose is for delivery to destinations like S3, not for real-time enrichment with DynamoDB.
- C
Amazon Kinesis Data Streams
Kinesis Data Streams ingests streaming transaction data in real-time.
- D
AWS Glue ETL
Why wrong: Glue ETL is batch-oriented, not suitable for real-time streaming pipelines.
- E
Amazon DynamoDB
DynamoDB stores the customer profile reference table for enrichment.
Question 621 of 1,000
mediumMultiple SelectObjective-mapped
MLA-C01 Practice Question: Building a real-time fraud detection system using…
This MLA-C01 practice question tests your understanding of mla-c01 exam topics. 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. 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 is building a real-time fraud detection system using Amazon Kinesis Data Streams. The data must be joined with a reference table (e.g., customer profile) that is stored in Amazon DynamoDB and updated frequently. The enriched data will be used for ML predictions. Which THREE AWS services should the company use to build this streaming pipeline? (Select 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
✓
Amazon Kinesis Data Analytics for Apache Flink
Kinesis Data Streams ingests streaming data. Kinesis Data Analytics for Apache Flink can perform stream-stream joins and enrich data with DynamoDB lookups. The enriched output can be sent to a Kinesis Data Stream or Firehose. Alternatively, using Lambda for enrichment is also valid, but the question asks for three services. The combination of Kinesis Data Streams, Kinesis Data Analytics (Flink), and DynamoDB covers ingestion, enrichment, and reference data. Kinesis Data Firehose is for delivery, not enrichment.
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.
- ✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Kinesis Data Analytics for Flink can perform real-time stream enrichment by joining with DynamoDB.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose is for delivery to destinations like S3, not for real-time enrichment with DynamoDB.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Kinesis Data Streams ingests streaming transaction data in real-time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue ETL
Why it's wrong here
Glue ETL is batch-oriented, not suitable for real-time streaming pipelines.
- ✓
Amazon DynamoDB
Why this is correct
DynamoDB stores the customer profile reference table for enrichment.
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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.
Identify which MLA-C01 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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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Analytics for Apache Flink — Kinesis Data Streams ingests streaming data. Kinesis Data Analytics for Apache Flink can perform stream-stream joins and enrich data with DynamoDB lookups. The enriched output can be sent to a Kinesis Data Stream or Firehose. Alternatively, using Lambda for enrichment is also valid, but the question asks for three services. The combination of Kinesis Data Streams, Kinesis Data Analytics (Flink), and DynamoDB covers ingestion, enrichment, and reference data. Kinesis Data Firehose is for delivery, not enrichment.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-C01 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.
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 →
Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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