Get ready for the AWS Machine Learning exam with the SkillCurb practice test. Gain familiarity with the types of questions and time limits on the official exam with our AWS Machine Learning Specialty practice exam, designed to help you succeed.
Prepare for the AWS Machine Learning exam with our similar practice test. Our exam offers 65 multiple-choice questions, just like the AWS Machine Learning official exam, with a 180-minute time limit. Experience the same format as the real exam with single and multiple-response questions.
Ace the AWS Machine Learning exam with our practice tests covering the four crucial knowledge domains:
Domain 1: Data Engineering – 20%
Domain 2: Exploratory Data Analysis – 24%
Domain 3: Modeling – 36%
Domain 4: Machine Learning Implementation and Operations – 20%
Prepare for the AWS Machine Learning exam with our practice tests that accurately reflect each domain’s official exam format and weightage. With 6 practice exams, featuring 390 different, authentic sample questions, you’ll gain the confidence and knowledge you need to pass the AWS Machine Learning exam
The AWS Machine Learning exam is a valuable certification for professionals with experience in machine learning (ML) on the AWS platform. Ideal candidates for this exam include data scientists, machine learning engineers, and developers who have a strong understanding of ML concepts and hands-on experience with AWS services such as Amazon SageMaker, AWS Glue, Amazon Kinesis, Amazon S3, and Amazon Redshift. Additionally, a familiarity with deep learning frameworks like TensorFlow and PyTorch is also recommended. Obtaining this certification can demonstrate expertise in ML on the AWS platform, giving professionals a competitive advantage in the job market.
Data scientists, machine learning engineers, and developers who have experience building, training, and deploying ML models on AWS are the ideal candidates for this certification. The exam covers a wide range of topics related to ML on AWS, including data preparation, model training, deployment, and maintenance.
By obtaining this certification, individuals can demonstrate their knowledge and expertise in using ML solutions on the AWS platform, which can give them a competitive edge in the job market. The certification also provides a great opportunity to showcase an individual’s ML skills to potential employers and peers to help build credibility and recognition in the industry.
You can take as much time as you need on any question, but you must allocate enough time to attempt them all. Any questions that are unattempted will get no score as a result.
The AWS Machine Learning exam is an online, multiple-choice test that is delivered through the AWS Certification portal. The exam is designed to assess your knowledge and skills in using ML solutions on the AWS platform.
To take the exam, you must first create an AWS Certification account and purchase the exam. The exam fee is currently set at $300.00 USD. You can then schedule your exam at a time that is convenient for you, subject to availability.
The exam is timed and consists of 65 multiple-choice and multiple-response questions. You will have 180 minutes to complete the exam. The questions are designed to assess your understanding of ML concepts, as well as your experience using AWS services and tools to build, train, and deploy ML models.
After completing the exam, you will receive your results immediately. If you pass the exam, you will receive a certificate and digital badge that you can use to showcase your AWS Machine Learning Specialty certification on your resume, LinkedIn profile, and other professional profiles. If you do not pass the exam, you can retake the exam after a specified waiting period.
Exam Name: AWS Certified Machine Learning Specialty
Exam Code: MLS-C01
Exam Duration: 180 Minutes
Exam Format: Multiple Choice and Multi-Response Questions
Exam Type: Machine Learning
Exam Fee: $300 USD
Number of Questions: 65 Questions
Validity: 3 years
Exam Language: English, Japanese, Korean, and Simplified Chinese.
There is a timer at the top of the exam screen that indicates the time remaining for the completion of the exam. The timer is dedicated for the entire exam (individual exam sets) and not for each question in the exam sets.
The AWS Machine Learning Specialty exam is a certification exam designed to assess your knowledge and skills in using ML solutions on the AWS platform. The exam covers topics such as ML concepts, AWS services and tools for building, training, and deploying ML models, and best practices for working with ML on the AWS platform.
The AWS Machine Learning Specialty exam is intended for individuals who have practical experience using AWS services and tools to build, train, and deploy ML models. There are no specific prerequisites for the exam, but it is recommended that you have at least one year of experience working with ML on the AWS platform before attempting the exam.
The AWS Machine Learning Specialty exam covers a broad range of topics related to ML and the AWS platform. Topics include ML concepts, AWS services and tools for building, training, and deploying ML models, and best practices for working with ML on the AWS platform
The AWS Machine Learning Specialty exam is an online, multiple-choice test that is delivered through the AWS Certification portal. The exam consists of 65 multiple-choice and multiple-response questions, and you will have 180 minutes to complete the exam.
The current fee for the AWS Machine Learning Specialty exam is $300.00 USD
To schedule the AWS Machine Learning Specialty exam, you must first create an AWS Certification account and purchase the exam. You can then schedule your exam at a time that is convenient for you, subject to availability.
The passing score for the AWS Machine Learning Specialty exam is not publicly disclosed by Amazon Web Services (AWS). AWS uses a scaled scoring system, which means that the difficulty of the exam can vary, and the passing score is adjusted accordingly.
The AWS Machine Learning Specialty certification is valid for three years from the date you pass the exam.
To maintain your AWS Machine Learning Specialty certification, you must demonstrate ongoing proficiency and expertise in using ML solutions on the AWS platform. You can do this by continuing to use AWS services and tools, keeping up-to-date with the latest best practices, and participating in continuing education and professional development activities. You can also consider recertifying by taking the latest version of the AWS Machine Learning Specialty exam before your certification expires
There are a variety of resources available to help you prepare for the AWS Machine Learning Specialty exam. These include the AWS documentation and best practices, online forums and discussion groups, AWS training and certification courses, and third-party study materials and exam preparation guides
Yes, AWS Machine Learning Specialty Cheat Sheet will be provided alongside the practice exam sets.
Effective learning starts with assessment. Learning a new skill is hard
work—Skillcurb makes it easier.