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Data EngineeringhardMultiple SelectObjective-mapped

MLS-C01 Data Engineering Practice Question

A company is designing a data pipeline that ingests streaming data from social media feeds. The data must be processed in real-time to detect trending topics, and results must be stored in Amazon DynamoDB for low-latency access. Which services should the company use? (Choose TWO.)

⚠ Common exam trap

It's easy for candidates to confuse Kinesis Data Firehose (a delivery service) with Kinesis Data Analytics (a real-time processing service), or assume Lambda alone can handle streaming analytics, when in fact Kinesis Data Analytics is the only option that provides built-in SQL-based stream processing for real-time trend detection.

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

Amazon Kinesis Data Analytics (D) is correct because it provides real-time SQL-based processing of streaming data, enabling the detection of trending topics from social media feeds without requiring custom code. It directly analyzes data from Kinesis Data Streams and can output results to DynamoDB via a Lambda function or Firehose, meeting the low-latency storage requirement.

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 Firehose

    Why it's wrong here

    Firehose delivers data to destinations, not real-time analytics.

  • AWS Lambda

    Why it's wrong here

    Lambda can process but not ideal for continuous real-time analytics.

  • Amazon Simple Queue Service (SQS)

    Why it's wrong here

    SQS is for decoupling, not real-time streaming.

  • Amazon Kinesis Data Analytics

    Why this is correct

    Provides real-time analytics to detect trending topics.

  • Amazon Kinesis Data Streams

    Why this is correct

    Ingests high-throughput streaming data.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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Written by Johnson Ajibi, MSc IT Security

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This MLS-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 MLS-C01 exam.