AWS Certified Machine Learning Specialty: 3 PRACTICE EXAMS (Udemy.com)

I was really disappointed with how many gaps were missing from exam content. Many hyperparameter tuning, Data Wrangler, Data scaling, optimized infrastructure configurations, actual parameter settings examples, Multi-Colinearity, Linearity dependency and more i'm missing. I was getting a consistent score of mid-nineties in the practice tests which I felt covered less than 50% of the content in the exam questions. I was surprised by how many positive reviews there were given my experience on content covered from this course/prep vs. the actual exam. On the positive note, coupled with my AWS course work I did retain a lot of valuable information on ML from this course, just not enough relevant information that I encountered on the actual test.

Dear Abhishek, a big thank you for providing the mock exams. I'm excited to share that I successfully cleared the exam on 10.11.2023. The questions were excellent and played a crucial role in reshaping my strategy for the actual test. I would appreciate it if you could incorporate more questions on Data Wrangler, as it's an emerging topic. I encountered at least 5-7 questions related to this area. Your valuable insights have been immensely helpful. Looking forward to more of your guidance in the future!

These practice exams definitely helped me with my exam which I passed today. They are great tools to identify your weak spots and complement the lectures by offering a lot of details and caveats not written on the notes. Don't panic if you don't get above 75% in your first attempts. I got 60% and 64% for the two full-length ones. You'll just have to go over them repeatedly to make sure you really absorbed things learned from your mistakes.

Just completed the AWS MLS exam yesterday, found these practice questions to be the most similar to the actual exam. A few exam questions had the same description/context but a different question. This definitely helped me pass the exam, but don't stress out if you aren't getting the 75% in these. I was getting 50-70%. The lessons I learned was, take notes of what you get wrong, and take your sweet time in the actual exam!

Just got certified today. A few things to share. #1 I have extensive ML knowledge and I felt the main AWS test is easier than the Udemy mock tests. the questions are more on a conceptual level and system design level rather than tool level nuances (what is the memory of a C4 sagemaker instance) aws-certified-machine-learning-specialty-full-practice-exams aws-machine-learning-practice-exam #2 The Udemy mock tests listed above helped to get more understanding of system design and high-level tool utility( when to use Glue and what is the right stack while using kinesis ) Although I was only getting 70-80% score this helped in improving system design questions #3 The key to answering a lot of questions is reading the last line. example: A large news website needs to produce personalized recommendations for articles to its readers, by training a machine learning model on a daily basis using historical click data. The influx of this data is fairly constant, except during major elections when traffic to the site spikes considerably. Which system would provide the most cost-effective and reliable solution? the most important piece of the information is the last few works like most cost-effective or less managed etc. just focusing on that wording and getting an idea about the right tool associated with those terms

This is great practice exam course. I passed the exam this week but it was bit of hard and the questions are tough (about 70%). I had machine learning courses and practice from multiple sources - udemy, cloud guru etc but the questions are little hard - more questions on deep learning layers and weights change, not direct questions but how to use tools metrics (Experiments, Debugger, Model monitor), questions on Auto ML and surprisingly few direct questions about ~5 and only few (~2) from Kinesis.

More more difficult than the real exam. There are very good questions, but a significative part of them are excesively difficult. Explanations are good and well-redacted in general. I would give five starts if: - questions were grouped in two exams (easy and hard) because the main part of the questions interesting but, as they are currently grouped, they send a wrong message about how much hard the exam is. - more info were added during the exposition of some questions (some of them lacks of information so the answers are, consequently, argueable).

I got 900/1000 and found these practice tests were very useful. This is not mean that questions from these tests are the same as in actual exam, some of the questions were very similar. I ran through these tests couple days ago actual exam with appr. 90% of score. These practical tests will give you the clear intuition what you can expect in actual exam in terms of topics and level of difficulty. Do no try to memorize questions, try to understand why. I combined these practical tests with other from other provider making my own notes. By finally before going to actual exam, I came back to this one. Thanks for materials! Good and useful.

I have passed my exam yesterday (January 2021). These practice tests were really helpful so thank you so much for covering wide range of questions and scenarios. Actual exam was bit tough and rigorous. Few similar questions were there which author of this course has covered but not exactly the same. So don't try to remember the questions and answers (they never gonna come as it is during the exam) but learn from each questions and explore. Also would suggest you to complete the course which AWS is providing "Exam Readiness: AWS Certified Machine Learning - Specialty" its free of cost along with 35 practice questions.

These tests made for good practice, but stressed focus in areas that, while important for general knowledge, weren't directly applicable for the exam. Exam difficulty level was representative of the real thing, but they would do better to focus more on scenarios rather than technical details. In the end, it did help me prepare for the real thing and pass it first try with confidence.

By far the best practice exams available for AWS ML Specialty! The detailed descriptions helped in refreshing a lot of concepts! AWS SageMaker related questions covered a lot of lesser known material from the official documentation.

By far the best practice exams available for AWS ML Specialty! The detailed descriptions helped in refreshing a lot of concepts! AWS SageMaker related questions covered a lot of lesser known material from the official documentation.