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Download AWS Certified Machine Learning - Specialty Exam Dumps

NEW QUESTION 47
A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket A Machine Learning Specialist wants to use SQL to run queries on this data. Which solution requires the LEAST effort to be able to query this data?

A. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queriesB. Use AWS Batch to run ETL on the data and Amazon Aurora to run the quenesC. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries.D. Use AWS Glue to catalogue the data and Amazon Athena to run queries

Answer: A

 

NEW QUESTION 48
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.

Based on this information which model would have the HIGHEST accuracy?

A. Single perceptron with tanh activation functionB. Long short-term memory (LSTM) model with scaled exponential linear unit (SELL))C. Support vector machine (SVM) with non-linear kernelD. Logistic regression

Answer: D

 

NEW QUESTION 49
A Machine Learning Specialist built an image classification deep learning model. However the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%r respectively.
How should the Specialist address this issue and what is the reason behind it?

A. The learning rate should be increased because the optimization process was trapped at a local minimum.B. The dropout rate at the flatten layer should be increased because the model is not generalized enough.C. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.D. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.

Answer: D

 

NEW QUESTION 50
This graph shows the training and validation loss against the epochs for a neural network The network being trained is as follows
* Two dense layers one output neuron
* 100 neurons in each layer
* 100 epochs
* Random initialization of weights

Which technique can be used to improve model performance in terms of accuracy in the validation set?

A. Random initialization of weights with appropriate seedB. Adding another layer with the 100 neuronsC. Increasing the number of epochsD. Early stopping

Answer: B

 

NEW QUESTION 51
A manufacturing company has a large set of labeled historical sales data The manufacturer would like to predict how many units of a particular part should be produced each quarter Which machine learning approach should be used to solve this problem?

A. Linear regressionB. Principal component analysis (PCA)C. Logistic regressionD. Random Cut Forest (RCF)

Answer: D

 

NEW QUESTION 52
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