Weekly Study Goals
1. Weekly Study Goals
Now that you’ve explored all five sections of the exam guide, consider what you’ve learned about your knowledge and skills through the diagnostic questions in this course. You should have a better understanding of what areas you need to focus on and what resources are available. Think about the answers to these questions: When will you take the exam? How many weeks does that give you to prepare? How many hours can you realistically spend preparing for the exam each week? How many total hours will you prepare? Be sure to leave enough time at the end of your plan to retake the diagnostic questions and the sample questions, and fill in any gaps in your knowledge that may remain. Take a few minutes to think about how much time you will allocate to preparing for the exam and note your answers in the workbook. The number of weeks in your preparation journey will depend on various factors, such as your prior experience collecting, transforming, and publishing data in Google Cloud, your comfort level with different products and services, and how much time you have available to dedicate to studying each week. You might choose to focus on specific courses or Skill Badges each week, such as in this sample study plan, or instead focus your study on a specific topic, such as data processing with Dataflow. Once you have a high-level idea of how many weeks that you have to study and how you want to determine your weekly focus, you want to build out a plan with weekly goals and study activities. Use the template in your workbook to plan your study goals for each week. Consider: What exam guide sections or topic areas will you focus on? What courses (or specific modules) will help you learn more? What Skill Badges or labs will you use to practice your skills? What documentation links will you review? What additional resources will you use, such as sample questions? You may do some or all of these study activities each week. Let’s review an example. For example, if you’ve identified using BigQuery for data warehousing as a particular area you need to study, you might choose to structure your study for a week to include targeted modules from the on-demand training, a related skill badge for hands-on practice, and documentation. Alternatively, you might choose one week to complete an entire course, and another week to focus on a skill badge. You can determine the approach that fits your existing skill set. Find the weekly study template at the end of your workbook. Duplicate the weekly template for the number of weeks in your individual preparation journey. Remember, you may need to adjust your plans based on the areas where you need to learn more. For more information about the resources we’ve discussed in this course, refer to your notes and the student copy of the slides. To register for the exam, follow the link on the Professional Data Engineer certification information page, at https://cloud.google.com/learn/certification/data-engineer. And with that, good luck with your preparation journey, and all the very best for your exam!2. Let's practice!
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