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AWS MLA · 26%

ML Model Development

ML Model Development is 26% of the AWS Certified Machine Learning Engineer, Associate (MLA-C01) (AWS MLA), administered by AWS. It falls under the IT Certifications category.

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Domain Details

Detail Information
Domain ML Model Development
Exam AWS Certified Machine Learning Engineer, Associate (MLA-C01) (AWS MLA)
Domain Weight 26%
Governing Body AWS
Available in App Cloud Exam Prep: AWS, Azure & GCP
Official Source AWS official website ↗

Try a Practice Question

Sample AWS MLA Practice Question

This original C3RT practice item is from the AWS MLA question bank. It is not an official or released exam question.

What is the purpose of handling missing data in a dataset?

  1. To increase model accuracy
  2. To reduce computational cost
  3. To improve feature scaling
  4. To ensure complete data for analysisCorrect

Rationale

Handling missing data ensures that all records are used for analysis, improving the overall quality of the dataset. Increasing model accuracy and reducing computational cost are not directly related to handling missing values.

AWS MLA ML Model Development: FAQ

How much of the AWS MLA covers ML Model Development?

ML Model Development accounts for 26% of the AWS MLA, which has 65 questions total. AWS publishes the official exam content outline with the most current weighting. The C3RT app covers all 4 AWS MLA content areas.

What is the AWS MLA exam format and how does ML Model Development fit in?

The AWS MLA has 4 content areas across 65 questions in 130 minutes, with a passing score of 720/1000 (scaled). ML Model Development is content area 2 of 4 and carries 26% of the total exam weight. The other content areas are Data Preparation for ML, Deployment and Orchestration of ML Workflows, ML Solution Monitoring, Maintenance, and Security.

How do I study for the ML Model Development section of the AWS MLA?

Targeted practice by content area is the most effective approach. The C3RT Cloud Exam Prep: AWS, Azure & GCP app for iOS and Mac tags every practice question by content area, so you can isolate ML Model Development questions, track your accuracy, and focus study time on your weak spots. Combine focused practice sets with full-length timed mock exams as your test date approaches.

How many questions are on the AWS MLA and what is the passing score?

The AWS MLA consists of 65 questions in 130 minutes, with a passing score of 720/1000 (scaled). It is administered by AWS and the exam fee is $150 USD. The C3RT app includes full-length practice exams that mirror the real format across all 4 content areas.

Where can I find official AWS resources for ML Model Development?

The official source for AWS MLA content outlines and study resources is the AWS website. The exam blueprint, which details all content areas including ML Model Development, is published there. C3RT is not affiliated with AWS. It is a third-party practice platform that supplements official materials with 65+ practice questions, flashcards, and study tools across all 4 content areas.

ML Model Development is a content area on the AWS Certified Machine Learning Engineer, Associate (MLA-C01) (AWS MLA), a IT Certifications exam administered by AWS. C3RT is not affiliated with AWS. Certification names and trademarks are the property of their respective organisations. Official exam information is available at the AWS website.