DOWNLOAD MLS-C01 QUESTIONS PDF

Introduction

For those who work in data science or artificial intelligence/machine learning (AI/ML) development, the AWS Certified Machine Learning - Specialty (MLS-C01) exam is designed for them. The test verifies a candidate's capacity to use the AWS Cloud to design, develop, implement, optimize, train, tune, and manage ML solutions for specific business challenges.

The exam also confirms a candidate's competence to do the following tasks:

• Choose and justify the best machine learning technique for a specific business challenge.
• Identify relevant AWS services for implementing machine learning solutions.
• Create and execute scalable, cost-effective, dependable, and secure machine learning systems.

Who ought to take this Exam?

The ideal applicant should have at least two years' worth of first-hand experience creating, architecting, and executing machine learning or deep learning workloads on the AWS Cloud.

Preferred familiarity with AWS

The following knowledge is what the ideal applicant should possess:

• the capacity to communicate the idea behind fundamental machine learning (ML) algorithms;
• practical experience with basic hyperparameter optimization;
• familiarity with ML and deep learning frameworks;
• The capacity to adhere to model-training best practices.
• The capacity to adhere to operational best practices and optimal deployment methods

Syllabus details about AWS-Certified-Machine-Learning-Specialty-Certification exam

Domain 1: Data Engineering

1. Create data repositories for machine learning.
2. Identify and implement a data-ingestion solution.
3. Identify and implement a data-transformation solution.

Domain 2: Exploratory Data Analysis

1. Sanitize and prepare data for modeling.
2. Perform feature engineering.
3. Analyze and visualize data for machine learning.

Domain 3: Modeling

1. Frame business problems as machine learning problems.
2. Select the appropriate model(s) for a given machine learning problem.
3. Train machine learning models.
4. Perform hyperparameter optimization.

Domain 4: Machine Learning Implementation and Operations

1. Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
2. Recommend and implement the appropriate machine learning services and features for a given problem.
3. Apply basic AWS security practices to machine learning solutions.
4. Deploy and operationalize machine learning solutions.

MLS-C01 Exam Info:

Exam Name	AWS Certified Machine Learning Specialty
Exam Code	MLS-C01
No. of Questions	65
Exam Cost	USD 300
Passing score	750/1000 Or 75%
Exam Time Duration	180 minutes
Language	English, Korean, Japanese, Simplified Chinese
Format of Exam	Multiple Choice Questions, Drag and Drop, Multiple Answers, Scenario-based

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