Courseiva
hardMultiple ChoiceObjective-mapped

AIF-C01 Practice Question: Forecast product demand across thousands of SKUs…

A company wants to forecast product demand across thousands of SKUs with different demand patterns. They have 3 years of historical sales data, plus external factors like holidays and promotions. Which combination of AWS services and approach would deliver the most accurate forecasts with minimal manual effort?

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

Use Amazon Forecast with the DeepAR+ algorithm and provide item metadata, holiday calendars, and promotion data

Amazon Forecast is purpose-built for time-series forecasting and automatically handles multiple SKUs, holidays, and promotions. SageMaker would require building custom models from scratch. Comprehend is NLP, and QuickSight is for visualization.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use Amazon Comprehend to analyze customer reviews and correlate with sales

    Why it's wrong here

    Comprehend is for NLP, not time-series forecasting.

  • Upload data to Amazon QuickSight and use its built-in forecasting widget

    Why it's wrong here

    QuickSight's forecasting is limited for many SKUs and lacks advanced features.

  • Use Amazon Forecast with the DeepAR+ algorithm and provide item metadata, holiday calendars, and promotion data

    Why this is correct

    Forecast is designed for scalable, accurate forecasting with built-in handling of external regressors.

  • Train individual ARIMA models for each SKU using Amazon SageMaker built-in algorithms

    Why it's wrong here

    Manual per-SKU modeling is labor-intensive and ARIMA may not capture external factors well.

About these practice questions

This AIF-C01 question is part of Courseiva's 619-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AIF-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 AIF-C01 exam.