# Amazon (MLS-C01) Exam Questions And Answers page 11

Which approach should the Specialist use to continue working?

Model Development
Machine Learning Implementation and Operations

Which parameter tuning guidelines should the Specialist follow to avoid overfitting?

Increase the max_depth parameter value.

Lower the max_depth parameter value.

Update the objective to binary:logistic.

Lower the min_child_weight parameter value.

Model Development
Machine Learning Implementation and Operations

Which parameter tuning guidelines should the Specialist follow to avoid overfitting?

Increase the max_depth parameter value.

Lower the max_depth parameter value.

Update the objective to binary:logistic.

Lower the min_child_weight parameter value.

Model Development
Machine Learning Implementation and Operations

Given the displayed residual plot only, what is the MOST likely problem with the model?

Linear regression is inappropriate. The residuals do not have constant variance.

Linear regression is inappropriate. The underlying data has outliers.

Linear regression is appropriate. The residuals have a zero mean.

Linear regression is appropriate. The residuals have constant variance.

Model Development
Machine Learning Implementation and Operations

Given the displayed residual plot only, what is the MOST likely problem with the model?

Linear regression is inappropriate. The residuals do not have constant variance.

Linear regression is inappropriate. The underlying data has outliers.

Linear regression is appropriate. The residuals have a zero mean.

Linear regression is appropriate. The residuals have constant variance.

Model Development
Machine Learning Implementation and Operations

Which function will produce the desired output?

Dropout

Smooth L1 loss

Softmax

Rectified linear units (ReLU)

Model Development
Machine Learning Implementation and Operations

What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

Receiver operating characteristic (ROC) curve

Misclassification rate

Root Mean Square Error (RMSE)

L1 norm

Model Development
Machine Learning Implementation and Operations

Which approach will allow the Specialist to review the latency, memory utilization, and CPU utilization during the load test?

Machine Learning Implementation and Operations
AWS Machine Learning Services

What should be done to reduce the impact of having such a large number of features?

Perform one-hot encoding on highly correlated features.

Use matrix multiplication on highly correlated features.

Create a new feature space using principal component analysis (PCA)

Apply the Pearson correlation coefficient.

Exploratory Data Analysis
Model Development

Which services are integrated with Amazon SageMaker to track this information? (Choose two.)

AWS Health

AWS Trusted Advisor

Amazon CloudWatch

AWS Config

AWS CloudTrail

Model Development
Machine Learning Implementation and Operations

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