AWS-Certified-Machine-Learning-Specialty Free Practice Test

A data scientist uses an Amazon SageMaker notebook instance to conduct data exploration and analysis. This requires certain Python packages that are not natively available on Amazon SageMaker to be installed on the notebook instance.
How can a machine learning specialist ensure that required packages are automatically available on the notebook instance for the data scientist to use?

1. A. Install AWS Systems Manager Agent on the underlying Amazon EC2 instance and use Systems Manager Automation to execute the package installation commands.
2. B. Create a Jupyter notebook file (.ipynb) with cells containing the package installation commands to execute and place the file under the /etc/init directory of each Amazon SageMaker notebook instance.
3. C. Use the conda package manager from within the Jupyter notebook console to apply the necessary conda packages to the default kernel of the notebook.
4. D. Create an Amazon SageMaker lifecycle configuration with package installation commands and assign the lifecycle configuration to the notebook instance.

Correct Answer: D
https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-add-external.html

A machine learning specialist is developing a proof of concept for government users whose primary concern is security. The specialist is using Amazon SageMaker to train a convolutional neural network (CNN) model for a photo classifier application. The specialist wants to protect the data so that it cannot be accessed and transferred to a remote host by malicious code accidentally installed on the training container.
Which action will provide the MOST secure protection?

1. A. Remove Amazon S3 access permissions from the SageMaker execution role.
2. B. Encrypt the weights of the CNN model.
3. C. Encrypt the training and validation dataset.
4. D. Enable network isolation for training jobs.

Correct Answer: D

A company is running an Amazon SageMaker training job that will access data stored in its Amazon S3 bucket A compliance policy requires that the data never be transmitted across the internet How should the company set up the job?

1. A. Launch the notebook instances in a public subnet and access the data through the public S3 endpoint
2. B. Launch the notebook instances in a private subnet and access the data through a NAT gateway
3. C. Launch the notebook instances in a public subnet and access the data through a NAT gateway
4. D. Launch the notebook instances in a private subnet and access the data through an S3 VPC endpoint.

Correct Answer: D

A large company has developed a B1 application that generates reports and dashboards using data collected from various operational metrics The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports The company wants the executives to be able ask questions using written and spoken interlaces
Which combination of services can be used to build this conversational interface? (Select THREE )

1. A. Alexa for Business
2. B. Amazon Connect
3. C. Amazon Lex
4. D. Amazon Poly
5. E. Amazon Comprehend
6. F. Amazon Transcribe

Correct Answer: BEF

A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists can access notebooks, train models, and deploy endpoints. To ensure the best operational performance, the Specialist needs to be able to track how often the Scientists are deploying models, GPU and CPU utilization on the deployed SageMaker endpoints, and all errors that are generated when an endpoint is invoked.
Which services are integrated with Amazon SageMaker to track this information? (Select TWO.)

1. A. AWS CloudTrail
2. B. AWS Health
3. C. AWS Trusted Advisor
4. D. Amazon CloudWatch
5. E. AWS Config

Correct Answer: AD