QUIZ FANTASTIC SAA-C03 - AWS CERTIFIED SOLUTIONS ARCHITECT - ASSOCIATE RELIABLE EXAM BLUEPRINT

Quiz Fantastic SAA-C03 - AWS Certified Solutions Architect - Associate Reliable Exam Blueprint

Quiz Fantastic SAA-C03 - AWS Certified Solutions Architect - Associate Reliable Exam Blueprint

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q1017-Q1022):

NEW QUESTION # 1017
[Design Secure Architectures]
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. Configure an AWS Lambda function with a function URL that uses Amazon SageMaker endpoints to create predictions based on the inputs.
  • B. Train an Amazon Forecast predictor by using the historical data in the S3 bucket.
  • C. Deploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.
  • D. Use Amazon SageMaker to train a model by using the historical data in the S3 bucket.
  • 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,D

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 ascalable 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 # 1018
[Design Secure Architectures]
A company hosts an application on Amazon EC2 instances that run in a single Availability Zone. The application is accessible by using the transport layer of the Open Systems Interconnection (OSI) model. The company needs the application architecture to have high availability Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO_)

  • A. Create an Amazon CloudWatch alarm. Configure the alarm to restart EC2 instances that transition to a stopped state
  • B. Configure a Network Load Balancer tor TCP traffic to the instances. Configure an Application Load Balancer tor HTTP and HTTPS traffic to the instances.
  • C. Create an Auto Scaling group for the EC2 instances. Configure the Auto Scaling group to use multiple Availability Zones. Configure the Auto Scaling group to run application health checks on the instances_
  • D. Configure new EC2 instances in a different AvailabiIity Zone. Use Amazon Route 53 to route traffic to all instances.
  • E. Configure a Network Load Balancer in front of the EC2 instances.

Answer: C,D

Explanation:
To achieve high availability for an application that runs on EC2 instances, the application should be deployed across multiple Availability Zones and use a load balancer to distribute traffic. An Auto Scaling group can be used to launch and manage EC2 instances in multiple Availability Zones and perform health checks on them. A Network Load Balancer can be used to handle transport layer traffic to the EC2 instances.
Reference:
Auto Scaling Groups
What Is a Network Load Balancer?


NEW QUESTION # 1019
[Design Secure Architectures]
A company wants to enhance its ecommerce order-processing application that is deployed on AWS. The application must process each order exactly once without affecting the customer experience during unpredictable traffic surges.
Which solution will meet these requirements?

  • A. Create a flow by using Amazon AppFlow. Send the orders to the flow. Configure an AWS Lambda function as the target to process the orders.
  • B. Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Put all the orders in the SQS queue. Configure an AWS Lambda function as the target to process the orders.
  • C. Configure AWS X-Ray in the application to track the order requests. Configure the application to process the orders by pulling the orders from Amazon CloudWatch.
  • D. Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Publish all the orders to the SNS standard topic. Configure the application as a notification target.

Answer: B

Explanation:
Amazon SQS FIFO queues guarantee the order of message delivery and ensure that each message is delivered exactly once. Paired with AWS Lambda, this creates a scalable, fault-tolerant architecture that processes each order in order and prevents duplicates, which is critical for ecommerce workflows.
Reference:


NEW QUESTION # 1020
A company is building a cloud-based application on AWS that will handle sensitive customer data. The application uses Amazon RDS for the database. Amazon S3 for object storage, and S3 Event Notifications that invoke AWS Lambda for serverless processing.
The company uses AWS 1AM Identity Center to manage user credentials. The development, testing, and operations teams need secure access to Amazon RDS and Amazon S3 while ensuring the confidentiality of sensitive customer data. The solution must comply with the principle of least privilege.
Which solution meets these requirements with the LEAST operational overhead?

  • A. Use 1AM roles with least privilege to grant all the teams access. Assign 1AM roles to each team with customized 1AM policies defining specific permission for Amazon RDS and S3 object access based on team responsibilities.
  • B. Create individual 1AM users for each member in all the teams with role-based permissions. Assign the
    1AM roles with predefined policies for RDS and S3 access to each user based on user needs. Implement
    1AM Access Analyzer for periodic credential evaluation.
  • C. Use AWS Organizations to create separate accounts for each team. Implement cross-account 1AM roles with least privilege Grant specific permission for RDS and S3 access based on team roles and responsibilities.
  • D. Enable 1AM Identity Center with an Identity Center directory. Create and configure permission sets with granular access to Amazon RDS and Amazon S3. Assign all the teams to groups that have specific access with the permission sets.

Answer: D

Explanation:
This solution allows for secure and least-privilege access with minimal operational overhead.
* IAM Identity Center: AWS IAM Identity Center (formerly AWS SSO) enables you to centrally manage access to multiple AWS accounts and applications. By using IAM Identity Center, you can assign permission sets that define what users or groups can access, ensuring that only necessary permissions are granted.
* Permission Sets: Permission sets in IAM Identity Center allow you to define granular access controls for specific services, such as Amazon RDS and S3. You can tailor these permissions to meet the needs of different teams, adhering to the principle of least privilege.
* Group Management: By assigning users to groups and associating those groups with specific permission sets, you reduce the complexity and overhead of managing individual IAM roles and policies. This method also simplifies compliance and audit processes.
* Why Not Other Options?:
* Option A (IAM roles): While IAM roles can provide least-privilege access, managing multiple roles and policies across teams increases operational overhead compared to using IAM Identity Center.
* Option C (Individual IAM users): Managing individual IAM users and roles can be cumbersome and does not scale well compared to group-based management in IAM Identity Center.
* Option D (AWS Organizations with cross-account roles): Creating separate accounts and cross-account roles adds unnecessary complexity and overhead for this use case, where IAM Identity Center provides a more straightforward solution.
AWS References:
* AWS IAM Identity Center - Overview and best practices for using IAM Identity Center.
* Managing Access Permissions Using IAM Identity Center - Guide on creating and managing permission sets for secure access.


NEW QUESTION # 1021
A global company runs its applications in multiple AWS accounts in AWS Organizations. The company's applications use multipart uploads to upload data to multiple Amazon S3 buckets across AWS Regions. The company wants to report on incomplete multipart uploads for cost compliance purposes.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create a service control policy (SCP) to report the incomplete multipart upload object count.
  • B. Configure S3 Storage Lens to report the incomplete multipart upload object count.
  • C. Configure AWS Config with a rule to report the incomplete multipart upload object count.
  • D. Create an S3 Multi-Region Access Point to report the incomplete multipart upload object count.

Answer: B


NEW QUESTION # 1022
......

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