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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q90-Q95):

NEW QUESTION # 90
A company has applications that run in an organization in AWS Organizations. The company outsources operational support of the applications. The company needs to provide access for the external support engineers without compromising security.
The external support engineers need access to the AWS Management Console. The external support engineers also need operating system access to the company's fleet of Amazon EC2 instances that run Amazon Linux in private subnets.
Which solution will meet these requirements MOST securely?

A. Confirm that AWS Systems Manager Agent {SSM Agent) is installed on all instances. Assign an instance profile with the necessary policy to connect to Systems Manager. Use Systems Manager Session Manager to provide local 1AM user credentials in each AWS account to the external support engineers for console access.
B. Create a bastion host in a public subnet. Set up the bastion host security group to allow access from only the external engineers' IP address ranges Ensure that all instances have a security group that allows SSH access from the bastion host. Provide each external support engineer an SSH key pair to log in to the application instances. Provide local account 1AM user credentials to the engineers for console access.
C. Confirm that all instances have a security group that allows SSH access only from the external support engineers source IP address ranges. Provide local 1AM user credentials in each AWS account to the external support engineers for console access. Provide each external support engineer an SSH key pair to log in to the application instances.
D. Confirm that AWS Systems Manager Agent (SSM Agent) is installed on all instances. Assign an instance profile with the necessary policy to connect to Systems Manager. Use AWS 1AM Identity Center to provide the external support engineers console access. Use Systems Manager Session Manager to assign the required permissions.

Answer: D

Explanation:
This solution provides the most secure access for external support engineers with the least exposure to potential security risks.
AWS Systems Manager (SSM) and Session Manager: Systems Manager Session Manager allows secure and auditable access to EC2 instances without the need to open inbound SSH ports or manage SSH keys. This reduces the attack surface significantly. The SSM Agent must be installed and configured on all instances, and the instances must have an instance profile with the necessary IAM permissions to connect to Systems Manager.
IAM Identity Center: IAM Identity Center provides centralized management of access to the AWS Management Console for external support engineers. By using IAM Identity Center, you can control console access securely and ensure that external engineers have the appropriate permissions based on their roles.
Why Not Other Options?:
Option B (Local IAM user credentials): This approach is less secure because it involves managing local IAM user credentials and does not leverage the centralized management and security benefits of IAM Identity Center.
Option C (Security group with SSH access): Allowing SSH access opens up the infrastructure to potential security risks, even when restricted by IP addresses. It also requires managing SSH keys, which can be cumbersome and less secure.
Option D (Bastion host): While a bastion host can secure SSH access, it still requires managing SSH keys and opening ports. This approach is less secure and more operationally intensive compared to using Session Manager.
AWS Reference:
AWS Systems Manager Session Manager - Documentation on using Session Manager for secure instance access.
AWS IAM Identity Center - Overview of IAM Identity Center and its capabilities for managing user access.

NEW QUESTION # 91
A company has a serverless website with millions of objects in an Amazon S3 bucket. The company uses the S3 bucket as the origin for an Amazon CloudFront distribution. The company did not set encryption on the S3 bucket before the objects were loaded. A solutions architect needs to enable encryption for all existing objects and for all objects that are added to the S3 bucket in the future.
Which solution will meet these requirements with the LEAST amount of effort?

A. Create a new S3 bucket. Turn on the default encryption settings for the new S3 bucket. Download all existing objects to temporary local storage. Upload the objects to the new S3 bucket.
B. Turn on the default encryption settings for the S3 bucket. Use the S3 Inventory feature to create a .csv file that lists the unencrypted objects. Run an S3 Batch Operations job that uses the copy command to encrypt those objects.
C. Navigate to Amazon S3 in the AWS Management Console. Browse the S3 bucket's objects. Sort by the encryption field. Select each unencrypted object. Use the Modify button to apply default encryption settings to every unencrypted object in the S3 bucket.
D. Create a new encryption key by using AWS Key Management Service (AWS KMS). Change the settings on the S3 bucket to use server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Turn on versioning for the S3 bucket.

Answer: B

Explanation:
https://spin.atomicobject.com/2020/09/15/aws-s3-encrypt-existing-objects/

NEW QUESTION # 92
A company that uses AWS needs a solution to predict the resources needed for manufacturing processes each month. The solution must use historical values that are currently stored in an Amazon S3 bucket The company has no machine learning (ML) experience and wants to use a managed service for the training and predictions.
Which combination of steps will meet these requirements? (Select TWO.)

A. Deploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.
B. Use Amazon SageMaker to train a model by using the historical data in the S3 bucket.
C. Train an Amazon Forecast predictor by using the historical data in the S3 bucket.
D. Configure an AWS Lambda function with a function URL that uses Amazon SageMaker endpoints to create predictions based on the inputs.
E. Configure an AWS Lambda function with a function URL that uses an Amazon Forecast predictor to create a prediction based on the inputs.

Answer: B,C

Explanation:
To predict the resources needed for manufacturing processes each month using historical values that are currently stored in an Amazon S3 bucket, a solutions architect should use Amazon SageMaker to train a model by using the historical data in the S3 bucket, and deploy an Amazon SageMaker model and create a SageMaker endpoint for inference. Amazon SageMaker is a fully managed service that provides an easy way to build, train, and deploy machine learning (ML) models. The solutions architect can use the built-in algorithms or frameworks provided by SageMaker, or bring their own custom code, to train a model using the historical data in the S3 bucket as input. The trained model can then be deployed to a SageMaker endpoint, which is a scalable and secure web service that can handle requests for predictions from the application. The solutions architect does not need to have any ML experience or manage any infrastructure to use SageMaker.

NEW QUESTION # 93
A company needs to create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host a digital media streaming application. The EKS cluster will use a managed node group that is backed by Amazon Elastic Block Store (Amazon EBS) volumes for storage. The company must encrypt all data at rest by using a customer managed key that is stored in AWS Key Management Service (AWS KMS) Which combination of actions will meet this requirement with the LEAST operational overhead? (Select TWO.)

A. Use a Kubernetes plugin that uses the customer managed key to perform data encryption.
B. Create the EKS cluster Create an IAM role that has cuwlicy that grants permission to the customer managed key. Associate the role with the EKS cluster.
C. After creation of the EKS cluster, locate the EBS volumes. Enable encryption by using the customer managed key.
D. Store the customer managed key as a Kubernetes secret in the EKS cluster. Use the customer managed key to encrypt the EBS volumes.
E. Enable EBS encryption by default in the AWS Region where the EKS cluster will be created. Select the customer managed key as the default key.

Answer: B,E

Explanation:
EBS encryption by default is a feature that enables encryption for all new EBS volumes and snapshots created in a Region1. EBS encryption by default uses a service managed key or a customer managed key that is stored in AWS KMS1. EBS encryption by default is suitable for scenarios where data at rest must be encrypted by using a customer managed key, such as the digital media streaming application in the scenario1.
To meet the requirements of the scenario, the solutions architect should enable EBS encryption by default in the AWS Region where the EKS cluster will be created. The solutions architect should select the customer managed key as the default key for encryption1. This way, all new EBS volumes and snapshots created in that Region will be encrypted by using the customer managed key.
EKS encryption provider support is a feature that enables envelope encryption of Kubernetes secrets in EKS with a customer managed key that is stored in AWS KMS2. Envelope encryption means that data is encrypted by data encryption keys (DEKs) using AES-GCM; DEKs are encrypted by key encryption keys (KEKs) according to configuration in AWS KMS3. EKS encryption provider support is suitable for scenarios where secrets must be encrypted by using a customer managed key, such as the digital media streaming application in the scenario2.
To meet the requirements of the scenario, the solutions architect should create the EKS cluster and create an IAM role that has a policy that grants permission to the customer managed key. The solutions architect should associate the role with the EKS cluster2. This way, the EKS cluster can use envelope encryption of Kubernetes secrets with the customer managed key.

NEW QUESTION # 94
A company uses high concurrency AWS Lambda functions to process a constantly increasing number of messages in a message queue during marketing events. The Lambda functions use CPU intensive code to process the messages. The company wants to reduce the compute costs and to maintain service latency for its customers.
Which solution will meet these requirements?

A. Configure provisioned concurrency for the Lambda functions. Decrease the memory allocated to the Lambda functions.
B. Configure reserved concurrency for the Lambda functions. Decrease the memory allocated to the Lambda functions.
C. Configure provisioned concurrency for the Lambda functions. Increase the memory according to AWS Compute Optimizer recommendations.
D. Configure reserved concurrency for the Lambda functions. Increase the memory according to AWS Compute Optimizer recommendations.

Answer: C

Explanation:
The company wants to reduce the compute costs and maintain service latency for its Lambda functions that process a constantly increasing number of messages in a message queue. The Lambda functions use CPU intensive code to process the messages. To meet these requirements, a solutions architect should recommend the following solution:
Configure provisioned concurrency for the Lambda functions. Provisioned concurrency is the number of pre-initialized execution environments that are allocated to the Lambda functions. These execution environments are prepared to respond immediately to incoming function requests, reducing the cold start latency. Configuring provisioned concurrency also helps to avoid throttling errors due to reaching the concurrency limit of the Lambda service.
Increase the memory according to AWS Compute Optimizer recommendations. AWS Compute Optimizer is a service that provides recommendations for optimal AWS resource configurations based on your utilization data. By increasing the memory allocated to the Lambda functions, you can also increase the CPU power and improve the performance of your CPU intensive code. AWS Compute Optimizer can help you find the optimal memory size for your Lambda functions based on your workload characteristics and performance goals.
This solution will reduce the compute costs by avoiding unnecessary over-provisioning of memory and CPU resources, and maintain service latency by using provisioned concurrency and optimal memory size for the Lambda functions.
References:
Provisioned Concurrency
AWS Compute Optimizer

NEW QUESTION # 95
......

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Amazon SAA-C03 Latest Braindumps Sheet & Practice SAA-C03 Test Engine

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q90-Q95):

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