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Amazon Web Services Updated MLA-C01 Exam Questions and Answers by edmund

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Amazon Web Services MLA-C01 Exam Overview :

Exam Name: AWS Certified Machine Learning Engineer - Associate
Exam Code: MLA-C01 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 241 Q&A's Shared By: edmund
Question 36

A company has trained and deployed an ML model by using Amazon SageMaker. The company needs to implement a solution to record and monitor all the API call events for the SageMaker endpoint. The solution also must provide a notification when the number of API call events breaches a threshold.

Use SageMaker Debugger to track the inferences and to report metrics. Create a custom rule to provide a notification when the threshold is breached.

Which solution will meet these requirements?

Options:

A.

Use SageMaker Debugger to track the inferences and to report metrics. Create a custom rule to provide a notification when the threshold is breached.

B.

Use SageMaker Debugger to track the inferences and to report metrics. Use the tensor_variance built-in rule to provide a notification when the threshold is breached.

C.

Log all the endpoint invocation API events by using AWS CloudTrail. Use an Amazon CloudWatch dashboard for monitoring. Set up a CloudWatch alarm to provide notification when the threshold is breached.

D.

Add the Invocations metric to an Amazon CloudWatch dashboard for monitoring. Set up a CloudWatch alarm to provide notification when the threshold is breached.

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Question 37

A company runs an Amazon SageMaker AI domain in a public subnet of a newly created VPC. The network is configured properly, and ML engineers can access the SageMaker AI domain.

Recently, the company discovered suspicious traffic to the domain from a specific IP address. The company needs to block traffic from the specific IP address.

Which update to the network configuration will meet this requirement?

Options:

A.

Create a security group inbound rule to deny traffic from the specific IP address. Assign the security group to the domain.

B.

Create a network ACL inbound rule to deny traffic from the specific IP address. Assign the rule to the default network ACL for the subnet where the domain is located.

C.

Create a shadow variant for the domain. Configure SageMaker Inference Recommender to send traffic from the specific IP address to the shadow endpoint.

D.

Create a VPC route table to deny inbound traffic from the specific IP address. Assign the route table to the domain.

Discussion
Question 38

A company has trained an ML model that is packaged in a container. The company will integrate the model with an existing Python web application. The company needs to host the model on AWS by using Kubernetes.

The company does not want to manage the control plane and must provision the resources in a repeatable manner. The infrastructure must be provisioned by using Python.

Which solution will meet these requirements?

Options:

A.

Use AWS CloudFormation to provision Amazon EC2 instances in multiple Availability Zones. Set up a Kubernetes cluster. Host the model container on the Kubernetes cluster.

B.

Use the AWS CLI to provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Store the image in an Amazon Elastic Container Registry (Amazon ECR) repository. Host the model container on the EKS cluster.

C.

Use the AWS Cloud Development Kit (AWS CDK) to provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Store the image in an Amazon Elastic Container Registry (Amazon ECR) repository. Host the model container on the EKS cluster.

D.

Use AWS CloudFormation to provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Store the image in an Amazon Elastic Container Registry (Amazon ECR) repository. Host the model container on the EKS cluster.

Discussion
Question 39

A company has an application that uses different APIs to generate embeddings for input text. The company needs to implement a solution to automatically rotate the API tokens every 3 months.

Which solution will meet this requirement?

Options:

A.

Store the tokens in AWS Secrets Manager. Create an AWS Lambda function to perform the rotation.

B.

Store the tokens in AWS Systems Manager Parameter Store. Create an AWS Lambda function to perform the rotation.

C.

Store the tokens in AWS Key Management Service (AWS KMS). Use an AWS managed key to perform the rotation.

D.

Store the tokens in AWS Key Management Service (AWS KMS). Use an AWS owned key to perform the rotation.

Discussion
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