Data Studio lets you build dashboards and reports. It's easy to read, share, and it's fully customizable. Data Studio also handles authentication, access rights, and structuring of data. It's one of the key visualization tools available for data on GCP. The exam tip here is that troubleshooting and improving data quality, and processing performance is distributed through all the technologies. It would be a good idea to make sure you know the main troubleshooting methods for each data engineering technology and service. Security and troubleshooting are the lateral subjects that cut across all technologies. You need to look for them in each technology area, and dig into the documentation as needed. The training does cover the mechanics of generating and reports, but not explicitly how to present and advocate for policies. The subject is in the exam outline. It's a general job skill, rather than a technical skill, and not specifically covered in Google technical training. Nevertheless, it is part of the job, and could be on the exam. So this is one of the items I suggest you make sure you know, even though it's not in our training. We cover the mechanics of graphing and visualizing data, but not explicitly best practices for presentations and persuasion. A lot of this information is covered in the data analysts track in our training. As a data engineer, you need to know how to create reports and advocate about it, but you don't necessarily need to know specific techniques for how to get insights out of data. That would be a data analyst job role.