Databricks Generative AI Engineer Associate Practice Exams

I am a Databricks Certified Generative AI Engineer. While preparing for the certification exam, I struggled to find high-quality mock exams. Determined to enhance my study process, I created my own set of practice questions as part of my study process. These questions proved invaluable in my preparation, inspiring me to develop this course to share them with you. I hope they help you successfully pass the exam, just as they did for me.I have provided detailed explanations for the questions along with links to additional sources to help expand your learning. Here’s a small tip: Even if you answer a question correctly, I recommend reviewing the included links to deepen your understanding and gain a more comprehensive grasp of the topic. Additionally, it’s beneficial to learn why the other options are incorrect to further solidify your knowledge.Sample questionsBelow are a few sample questions to give you a taste of what to expect.(1)A data scientist wants to fine-tune a GenAI model on Databricks using image data. Which approach would be most suitable for embedding the images before feeding them to the model?(A) Ingest the images directly as byte arrays.(B) Use OCR to extract text from the images and embed the text.(C) Use a multi-modal embedding model like CLIP that can handle both images and text.(D) Convert the images to a standard format like JPEG and embed the raw image data.(2)How does "Answer Correctness" differ from "Faithfulness" in RAG evaluation?(A) Answer Correctness focuses on the overall relevance of the answer, while Faithfulness assesses its factual accuracy.(B) Answer Correctness measures the factual and semantic similarity with the ground truth, while Faithfulness checks if claims in the answer can be inferred from the context.(C) Answer Correctness evaluates