⬆️ Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Practice Tests Exams 137 Questions & No Answers PDF

· Daniel Danielecki
Ebook
69
Pages
Eligible
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About this ebook

⚠️ IMPORTANT: This PDF is without correct answers marked; that way, you can print it out or solve it digitally before checking the correct answers. We also sell this PDF with answers marked; please check our Shop to find one.


⌛️ Short and to the point; why should you buy the PDF with these Practice Tests Exams:

1. Always happy to answer your questions on Google Play Books and outside :)

2. Failed? Please submit a screenshot of your exam result and request a refund; we'll always accept it.

3. Learn about topics, such as:

 - Amazon Athena;

 - Amazon CloudWatch;

 - Amazon Comprehend;

 - Amazon Elastic Compute Cloud (Amazon EC2);

 - Amazon Elastic Map Reduce (Amazon EMR);

 - Amazon Kinesis;

 - Amazon SageMaker;

 - Amazon Simple Storage Service (Amazon S3);

 - Amazon Textract;

 - Amazon Transcribe;

 - Apache Parquet;

 - Apache Spark;

 - AWS Batch;

 - AWS Glue;

 - AWS Lambda;

 - Convolutional Neural Network (CNN);

 - K-means;

 - Linear Regression;

 - Logistic Regression;

 - Principal Component Analysis (PCA);

 - Recurrent Neural Network (RNN);

 - Virtual Private Clouds (VPC);

 - Much More!

4. Questions are similar to the actual exam, without duplications (like in other courses ;-)).

5. These tests are not an Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Exam Dump. Some people use brain dumps or exam dumps, but that's absurd, which we don't practice.

6. 137 unique questions.

About the author

Author, Conference Speaker, Educator, and top Stack Overflow contributor. Daniel Danielecki is the Founder of Ditectrev, an open-source driven EdTech startup. He specializes in JavaScript and Cloud technologies. With over a decade of experience, he has worked with global leaders such as ABN AMRO, Capgemini, IBM, and KPMG, delivering enterprise solutions across the banking, consulting, finance, and technology sectors. A self-taught developer, Daniel is passionate about accessible education. He shares his expertise through popular courses on Udemy, open-source projects on GitHub, and active contributions across developer communities, focusing on JavaScript, DevOps, and major cloud platforms including AWS, Azure, and Google Cloud.

Daniel holds multiple industry-recognized certifications in cloud computing, DevOps, and Agile methodologies. His international work and academic experience in Finland, India, the Netherlands, and Poland have shaped his practical, globally minded teaching style. Connect with him at danieldanielecki.com, on LinkedIn, or explore his open-source work on GitHub.

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