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Data Preparation for ML

Data Preparation for ML is 28% 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 Data Preparation for ML
Exam AWS Certified Machine Learning Engineer, Associate (MLA-C01) (AWS MLA)
Domain Weight 28%
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.

You are comparing the performance of two models on the same dataset and find that one model has a significantly lower training error but a higher validation error than the other. What does this indicate?

  1. A: The first model is underfitting.
  2. B: The first model is overfitting.Correct
  3. C: Both models are performing equally well.
  4. D: The second model needs more features.

Rationale

The scenario indicates that the first model is overfitting, learning the training data too well, including noise, leading to a worse performance on the validation dataset. Underfitting (Option A) would lead to poor performance on both datasets. Option C is incorrect as the disparity in errors suggests differing performance, and Option D does not address the model performance discrepancy directly.

AWS MLA Data Preparation for ML: FAQ

How much of the AWS MLA covers Data Preparation for ML?

Data Preparation for ML accounts for 28% 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 Data Preparation for ML fit in?

The AWS MLA has 4 content areas across 65 questions in 130 minutes, with a passing score of 720/1000 (scaled). Data Preparation for ML is content area 1 of 4 and carries 28% of the total exam weight. The other content areas are ML Model Development, Deployment and Orchestration of ML Workflows, ML Solution Monitoring, Maintenance, and Security.

How do I study for the Data Preparation for ML 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 Data Preparation for ML 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 Data Preparation for ML?

The official source for AWS MLA content outlines and study resources is the AWS website. The exam blueprint, which details all content areas including Data Preparation for ML, 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.

Data Preparation for ML 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.