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Labs

Building a Microservice Application and DynamoDB Data Model

In this hands-on lab, we will be presented with a web front end that is ready to be connected to a data system back end. We will analyze the provided dataset, create a data model, create a DynamoDB table, and edit two Lambda functions to load data into the table we will create, and connect that table to an API to provide data to the website.

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Lab platform
Lab Info
Level
Advanced
Last updated
Sep 24, 2025
Duration
45m

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Table of Contents
  1. Challenge

    Examine Source Data and Formulate Data Model

    Examine the source data (linked in the lab instructions) and formulate a data model that will allow storing and accessing this data from a single DynamoDB table.

  2. Challenge

    Create a DynamoDB Table

    Considering the data model from the last task, create a DynamoDB table to manifest the features of your data model. The table must be named collectors.

  3. Challenge

    Add Data Transformations/Mutations to `collectors_load` Lambda Function

    Add any necessary data transformations from your data model created in task one to the collectors_load function.

    (The solution code is linked on the lab page.)

  4. Challenge

    Run `collectors_load` Function

    Use an empty test event to run the collectors_load function to load data into the collectors DynamoDB table.

  5. Challenge

    Implement Queries in `collectors_primary` Lambda Function

    Implement queries to satisfy the required access patterns in the collectors_primary Lambda function.

    (The solution code is linked on the lab page.)

  6. Challenge

    Validate API Responses

    Using the provided website and API Gateway endpoint, verify all requested access patterns return the correct data.

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