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Amazon Web Services MLS-C01 Exam Topics, Blueprint and Syllabus

AWS Certified Machine Learning - Specialty

Last Update March 1, 2024
Total Questions : 281

Our AWS Certified Specialty MLS-C01 exam questions and answers cover all the topics of the latest AWS Certified Machine Learning - Specialty exam, See the topics listed below. We also provide Amazon Web Services MLS-C01 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Amazon Web Services MLS-C01 resources to help you understand the topics covered in the exam, such as AWS Certified Specialty video tutorials, MLS-C01 study guides, and MLS-C01 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.

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Amazon Web Services MLS-C01 Exam Overview :

Exam Name AWS Certified Machine Learning - Specialty
Exam Code MLS-C01
Actual Exam Duration The duration of the Amazon Web Services MLS-C01 exam is 180 minutes (3 hours).
What exam is all about The Amazon Web Services MLS-C01 exam is a certification exam that tests the knowledge and skills of individuals in designing and deploying machine learning solutions on the AWS platform. The exam covers various topics such as data preparation, feature engineering, model training, and deployment, as well as AWS services such as Amazon SageMaker, Amazon S3, and Amazon EC2. The exam is intended for individuals who have experience in machine learning and AWS services and are looking to validate their skills and knowledge in this area. Passing the exam leads to the AWS Certified Machine Learning - Specialty certification.
Passing Score required The passing score required in the Amazon Web Services MLS-C01 exam is 750 out of 1000. This means that you need to answer at least 75% of the questions correctly to pass the exam. The exam consists of multiple-choice and multiple-response questions, and you will have 180 minutes to complete it. It is recommended that you have at least two years of experience in designing and deploying AWS-based applications before taking this exam.
Questions Format multiple choice or multiple response.
Delivery of Exam The Amazon Web Services MLS-C01 exam is an online proctored exam that can be taken remotely from anywhere with a stable internet connection. The exam is delivered through the AWS Certification portal and is monitored by a proctor using a webcam and microphone. The exam consists of multiple-choice and multiple-response questions and has a time limit of 180 minutes.
Language offered This exam is offered in the following languages: English, Japanese, Korean, and Simplified Chinese.
Cost of exam $300 USD
Target Audience This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Machine Learning - Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.
Average Salary in Market The average salary for an AWS Certified Machine Learning Specialist is around $130,000 per year in the United States. However, the salary may vary depending on factors such as location, experience, and industry.
Testing Provider Pearson VUE testing center or online proctored exam.
Recommended Experience

AWS Certified Machine Learning - Specialty is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud. Before you take this exam, we recommend you have:

  • At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud
  • Ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyperparameter optimization
  • Experience with ML and deep learning frameworks
  • Ability to follow model-training, deployment, and operational best practices
Prerequisite According to the official AWS website, the prerequisites for the AWS MLS-C01 exam are: 1. A basic understanding of machine learning concepts and techniques. 2. Familiarity with AWS services such as Amazon S3, Amazon EC2, Amazon RDS, and Amazon SageMaker. 3. Experience with programming languages such as Python, R, or Java. 4. Knowledge of data analysis and visualization tools such as Jupyter Notebook, Tableau, or Power BI. 5. Understanding of data storage and management concepts such as data lakes, data warehouses, and data pipelines. It is recommended that candidates have at least one year of experience in designing and implementing machine learning solutions on AWS before taking the exam.
Retirement (If Applicable) It is recommended to check the official AWS website or contact their support team for the latest updates on exam retirements.
Certification Track (RoadMap): The certification track or roadmap for the Amazon Web Services MLS-C01 exam is as follows: 1. AWS Certified Cloud Practitioner: This is the entry-level certification that validates your understanding of AWS cloud services and basic cloud computing concepts. 2. AWS Certified Solutions Architect – Associate: This certification validates your ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. 3. AWS Certified Developer – Associate: This certification validates your ability to develop and maintain applications on AWS. 4. AWS Certified SysOps Administrator – Associate: This certification validates your ability to deploy, manage, and operate scalable, highly available, and fault-tolerant systems on AWS. 5. AWS Certified Solutions Architect – Professional: This certification validates your advanced technical skills and experience in designing and deploying AWS-based applications and systems. 6. AWS Certified DevOps Engineer – Professional: This certification validates your ability to provision, operate, and manage distributed application systems on AWS. The MLS-C01 exam is part of the AWS Certified Machine Learning – Specialty certification, which validates your ability to design, implement, deploy, and maintain machine learning solutions on AWS. To be eligible for this certification, you must have at least one year of experience in designing and implementing machine learning solutions on AWS.
Official Information https://aws.amazon.com/certification/certified-machine-learning-specialty/
See Expected Questions Amazon Web Services MLS-C01 Expected Questions in Actual Exam
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