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About AWS MLS-C01 Exam
The AWS Certified Machine Learning - Specialty (MLS-C01 ) exam is intended for individuals who perform an artificial intelligence/machine learning (AI/ML) development or data science role.
Target Audience for AWS-MLS-C01 Exam Certification
The AWS Certified Machine Learning – Specialty (MLS-C01) exam is designed for professionals who develop, implement, and manage machine learning solutions on AWS. It targets data scientists, ML engineers, data engineers, and architects. Candidates should have hands-on experience with AWS machine learning services and knowledge of ML techniques. This certification validates expertise in building scalable ML models, data engineering, and optimizing ML workflows on AWS.
AWS-MLS-C01 Certification Skills Measured
- Data Engineering
- Exploratory Data Analysis
- Modeling
- Machine Learning Implementation and Operations
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AWS MLS-C01 Exam Dumps FAQs
The AWS Certified Machine Learning – Specialty (MLS-C01) is a certification exam offered by Amazon Web Services (AWS) that validates expertise in building, training, and deploying machine learning (ML) models on AWS. It is intended for individuals who perform a development or data science role, particularly those who create machine learning solutions on AWS.
Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
Experience in handling ML/deep learning frameworks.
Basic understanding and ability to express the purpose of the Machine learning algorithms.
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The AWS Certified Machine Learning – Specialty (MLS-C01) exam tests the ability to design, implement, and deploy machine learning solutions on AWS. It includes 65 multiple-choice and multiple-response questions, with a 170-minute time limit. The exam covers four domains: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Operations. It's intended for professionals with hands-on ML experience on AWS. The passing score typically ranges from 700 to 750 out of 1000.
Your results for the examination are reported as a score from 100-1000, with a minimum passing score of 750. Your score shows how you performed on the examination as a whole and whether or not you passed.
The AWS Certified Machine Learning – Specialty (MLS-C01) certification is valid for three years from the date you earn it. After this period, you will need to renew your certification to maintain your status, which can typically be done by taking the current version of the exam or by earning a higher-level AWS certification.
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The AWS MLS-C01 Certified Machine Learning - Specialty Certification exam measures your ability to accomplish the following technical tasks:
- Data Engineering
- Exploratory Data Analysis
- Modeling
- Machine Learning Implementation and Operations
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2. Certified Developer – Associate (DVA-C02)
3. AWS Certified SysOps Administrator – Associate (SOA-C02)
4. AWS Certified Solutions Architect – Associate (SAA-C03)
5. AWS Certified DevOps Engineer – Professional (DOP-C02)
6. AWS Certified Solutions Architect – Professional (SAP-C02)
7. AWS Certified Advanced Networking – Specialty (ANS-C01)
8. AWS Certified Security – Specialty (SCS-C01)
9. AWS Certified Machine Learning – Specialty (MLS-C01)
10. AWS Certified Database – Specialty (DBS-C01)
11. AWS Certified Data Analytics – Specialty (DAS-C01)
12 AWS Certified SAP on AWS – Specialty (PAS-C01)
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1. Azure Fundamentals - AZ-900
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5. Azure Data Scientist Associate - DP-100
6. Azure Security Engineer Associate - AZ-500
7. Azure Database Administrator Associate - DP-300
8. Azure Administrator Associate - AZ-104
9. Azure Developer Associate - AZ-204
10. Certified Advanced Networking-Specialty - AI-100/ANS-C01
11. Azure Data Engineer Associate - DP-203
12. Identity and Access Administrator Associate - SC-300
13. Security Operations Analyst Associate - SC-200
Azure Expert Certifications
14. DevOps Engineer Expert - AZ-400
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1. CompTIA Security+ Certification
2. CompTIA A+
3. CompTIA Advanced Security Practitioner (CASP)
4. CompTIA Network+ Certification
5. CompTIA Server+ Certification
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