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Guide for AWS Certified Machine Learning Engineer - Associate MLA-C01

Quiz AWS Certified Machine Learning Engineer - Associate MLA-C01

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Quiz

1/10
Data Engineering for Machine Learning
Which AWS service is most suitable for automating ETL operations in a data engineering pipeline for machine learning workloads?
Select the answer
1 correct answer
A.
AWS Glue
B.
Amazon EC2
C.
Amazon S3
D.
AWS Lambda

Quiz

2/10
AWS SageMaker
In AWS SageMaker, which feature allows the process of automatically tuning model hyperparameters by running multiple training jobs concurrently?
Select the answer
1 correct answer
A.
Notebook Instance creation
B.
Hyperparameter Tuning Job
C.
Data Wrangler
D.
Batch Transform

Quiz

3/10
ML Service Fundamentals
Which of the following best describes a fully managed machine learning service regarding infrastructure management?
Select the answer
1 correct answer
A.
Requires manual scaling of compute resources
B.
Provides built-in security, scalability, and integrated tools while automating infrastructure management
C.
Does not support automated model deployment
D.
Needs extensive setup for high availability

Quiz

4/10
Data Preparation and Feature Engineering
When preparing a dataset with features measured in different scales, which technique is best suited to ensure that each feature contributes equally to machine learning models that rely on distance calculations?
Select the answer
1 correct answer
A.
Min-Max normalization
B.
Standardization (Z-score scaling)
C.
Log transformation
D.
One-hot encoding

Quiz

5/10
Model Training, Tuning, and Hyperparameter Optimization
Which hyperparameter tuning technique leverages a probabilistic surrogate model to iteratively explore the hyperparameter space by balancing exploration of unseen regions with exploitation of known good areas?
Select the answer
1 correct answer
A.
Grid Search
B.
Bayesian Optimization
C.
Random Search
D.
Manual Tuning

Quiz

6/10
Modeling and Algorithm Selection
In a multi-class classification scenario with imbalanced data, which modeling strategy can best improve overall classifier performance?
Select the answer
1 correct answer
A.
Using a One-vs-Rest approach with a basic logistic regression model
B.
Applying class weighting in algorithms such as Random Forest to prioritize minority classes
C.
Performing dimensionality reduction with principal component analysis before classification
D.
Using oversampling techniques solely without altering the algorithm

Quiz

7/10
Model Deployment and Operationalization
Which AWS service provides a fully managed environment for deploying machine learning models for real-time predictions?
Select the answer
1 correct answer
A.
Amazon SageMaker Endpoint
B.
Amazon EC2
C.
AWS Lambda
D.
Amazon S3

Quiz

8/10
AWS SageMaker and ML Service Fundamentals
Which Amazon SageMaker feature helps simplify data preprocessing and feature engineering tasks?
Select the answer
1 correct answer
A.
SageMaker Data Wrangler
B.
SageMaker Processing
C.
SageMaker Notebook
D.
SageMaker Studio

Quiz

9/10
Monitoring, Troubleshooting, and Model Maintenance
A machine learning model is deployed on Amazon SageMaker and shows signs of performance degradation over time. Which approach can be used to monitor and detect issues with model accuracy?
Select the answer
1 correct answer
A.
Implement a custom CloudWatch metric for monitoring predictions
B.
Set up a SageMaker Model Monitor to track data quality and model performance
C.
Enable automatic logging in the inference endpoint
D.
Rely on periodic manual review of endpoints

Quiz

10/10
Infrastructure and Scalability for ML Solutions
Which AWS service offers built‐in support for distributed training and hyperparameter tuning while providing auto‐scaling capabilities for ML models?
Select the answer
1 correct answer
A.
AWS SageMaker
B.
Amazon ECS
C.
AWS Lambda
D.
Amazon EC2
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  • Quiz name:AWS Certified Machine Learning Engineer - Associate MLA-C01
  • Total number of questions:515
  • Number of questions for the test:50
  • Pass score:80%

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