![]() ![]() I invite you to post your solutions to the challenges here so that as a community we can continue to learn and grow with each other. Finally, on the course page, you'll find a Q and A section. This may help you to get unstuck while you're working on the challenges out, but more importantly, you should use this as a way to gauge your own efforts. The exercise files also present an opportunity to see the solution code along with the expected output. I highly recommend that if a concept is new to you, read the documentation and dig into their examples, as they provide very deep explanations and great examples for the various methods and tools you'll need for each challenge. ![]() Where possible, I'll provide hints as well as some links to the official Mongo database documentation for the tools you'll need to complete the challenge. For each challenge, you'll have access to a challenge exercise file such as this, where you'll be able to reference the challenge instructions themselves as well as some notes for consideration as you go through the challenge. I'd like to additionally point out perhaps the most important research you'll be using throughout the course, the exercise files. This will help you to visualize your data models, design your database relationships, and create your validation rules in a convenient and easy to use UI. I also recommend that you install and use a visual modeling tool such as Moon Modeler for MongoDB as well. You'll want to make sure that you can connect to your database server, either locally or in the cloud with both tools before starting the challenges portion of this course. Be sure to install the MongoDB development tools which include the Mongo shell, which can operate directly from your command line as shown here, as well as the Mongo Compass UI, which allows you to both use the command line Mongo shell as well as work visually with your database. This can be done either at Mongo Atlas, hosted in the cloud, or the Community Edition, installed in your local development environment. First, make sure you have access to a Mongo database with administrative controls. Before we get going, make sure you've got access to the following and proper tools. Working with the most common Mongo techniques from creating databases and collections to managing and querying that data so we can solve real world business problems. ![]()
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