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Download AWS Certified Machine Learning - Specialty Exam Dumps

NEW QUESTION 20
A large JSON dataset for a project has been uploaded to a private Amazon S3 bucket The Machine Learning Specialist wants to securely access and explore the data from an Amazon SageMaker notebook instance A new VPC was created and assigned to the Specialist How can the privacy and integrity of the data stored in Amazon S3 be maintained while granting access to the Specialist for analysis?

A. Launch the SageMaker notebook instance within the VPC and create an S3 VPC endpoint for the notebook to access the data Define a custom S3 bucket policy to only allow requests from your VPC to access the S3 bucketB. Launch the SageMaker notebook instance within the VPC with SageMaker-provided internet access enabled. Generate an S3 pre-signed URL for access to data in the bucketC. Launch the SageMaker notebook instance within the VPC with SageMaker-provided internet access enabled Use an S3 ACL to open read privileges to the everyone groupD. Launch the SageMaker notebook instance within the VPC and create an S3 VPC endpoint for the notebook to access the data Copy the JSON dataset from Amazon S3 into the ML storage volume on the SageMaker notebook instance and work against the local dataset

Answer: D

 

NEW QUESTION 21
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. Early stoppingB. Random initialization of weights with appropriate seedC. Increasing the number of epochsD. Adding another layer with the 100 neurons

Answer: D

 

NEW QUESTION 22
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Select THREE.)

A. Increase dropout.B. Decrease feature combinations.C. Decrease regularization.D. Increase feature combinations.E. Decrease dropout.F. Increase regularization.

Answer: A,C,D

 

NEW QUESTION 23
A company uses camera images of the tops of items displayed on store shelves to determine which items were removed and which ones still remain. After several hours of data labeling, the company has a total of
1,000 hand-labeled images covering 10 distinct items. The training results were poor.
Which machine learning approach fulfills the company's long-term needs?

A. Reduce the number of distinct items from 10 to 2, build the model, and iterateB. Convert the images to grayscale and retrain the modelC. Attach different colored labels to each item, take the images again, and build the modelD. Augment training data for each item using image variants like inversions and translations, build the model,

Answer: B

Explanation:
and iterate.

 

NEW QUESTION 24
......

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