Data Engineer exam 준비 방법
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![screenshot (43).png](https://thundercloud.day/data/editor/2206/2890202798_1656127018.6865.png "screenshot (43).png") ## Good Lock :bowtie: :smile: :fa-music: :tw-1f36c: # Product and technology knowledge You need to know the basic information about each product that might be covered on the exam. ## You need to know: ● What it does, why it exists. ● What is special about its design, for what purpose or purposes was it optimized? ● When do you use it, and what are the limits or bounds when it is time to consider an alternative? ● What are the key features of this product or technology? ● Is there an Open Source alternative? If so, what are the key benefits of the cloud-based service over the Open Source software? ## Which products and technologies Training and Certification meet at the JTA -- the Job Task Analysis -- the skills required of the job. The scope of the exam matches the learning track and specialization in training. So a great place to derive a list of the technologies and products that might be on the exam is to look at all the products and technologies that are covered in the related training. The training might not cover everything. But it is a good place to start. ## Study methods Training is great. Digging into the online documentation can be very instructive and covers more detail than can be covered in a class, so documentation tends to have more equal coverage of features, whereas training has to prioritize its time. Getting hands on experience can help you understand a product or technology much better than reading and is the kind of experience a professional in the job would have. So labs can be a great way to prepare.
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