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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Accelerate workload migration and modernization | 20% | |
| Topic 2: Design solutions for organizational complexity | 26% | |
| Topic 3: Design for new solutions | 29% | |
| Topic 4: Continuous improvement for existing solutions | 25% |
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NEW QUESTION # 352
A company is deploying a new cluster for big data analytics on AWS. The cluster will run across many Linux Amazon EC2 instances that are spread across multiple Availability Zones.
All of the nodes in the cluster must have read and write access to common underlying file storage. The file storage must be highly available, must be resilient, must be compatible with the Portable Operating System Interface (POSIX). and must accommodate high levels of throughput.
Which storage solution will meet these requirements?
Answer: C
Explanation:
The best solution is to provision a new Amazon Elastic File System (Amazon EFS) file system that uses Max I/O performance mode and mount the EFS file system on each EC2 instance in the cluster. Amazon EFS is a fully managed, scalable, and elastic file storage service that supports the POSIX standard and can be accessed by multiple EC2 instances concurrently. Amazon EFS offers two performance modes: General Purpose and Max I/O. Max I/O mode is designed for highly parallelized workloads that can tolerate higher latencies than the General Purpose mode. Max I/O mode provides higher levels of aggregate throughput and operations per second, which are suitable for big data analytics applications. This solution meets all the requirements of the company. References: Amazon EFS Documentation, Amazon EFS performance modes
NEW QUESTION # 353
A scientific company needs to process text and image data from an Amazon S3 bucket. The data is collected from several radar stations during a live, time-critical phase of a deep space mission.
The radar stations upload the data to the source S3 bucket. The data is prefixed by radar station identification number.
The company created a destination S3 bucket in a second account. Data must be copied from the source S3 bucket to the destination S3 bucket to meet a compliance objective. This replication occurs through the use of an S3 replication rule to cover all objects in the source S3 bucket.
One specific radar station is identified as having the most accurate data. Data replication at this radar station must be monitored for completion within 30 minutes after the radar station uploads the objects to the source S3 bucket.
What should a solutions architect do to meet these requirements?
Answer: A
NEW QUESTION # 354
A solutions architect is redesigning a three-tier application that a company hosts on premises.
The application provides personalized recommendations based on user profiles.
The company already has an AWS account and has configured a VPC to host the application.
The frontend is a Java-based application that runs in on-premises VMs.
The company hosts a personalization model on a physical application server and uses TensorFlow to implement the model.
The personalization model uses artificial intelligence and machine learning (AI/ML).
The company stores user information in a Microsoft SQL Server database.
The web application calls the personalization model, which reads the user profiles from the database and provides recommendations.
The company wants to migrate the redesigned application to AWS.
Which solution will meet this requirement with the LEAST operational overhead?
Answer: C
Explanation:
Amazon SageMaker is a fully managed machine learning service that allows users to build, train, and deploy machine learning models quickly and easily1. Users can export their existing TensorFlow models and store the model artifacts in Amazon S3, a highly scalable and durable object storage service2. Users can then deploy the model to Amazon SageMaker and create an endpoint that can be invoked by the web application to provide recommendations3. This way, the solution can leverage the AI/ML capabilities of Amazon SageMaker without having to rewrite the personalization model.
AWS Elastic Beanstalk is a service that allows users to deploy and manage web applications without worrying about the infrastructure that runs those applications. Users can host their Java application in AWS Elastic Beanstalk and configure it to communicate with the Amazon SageMaker endpoint. This way, the solution can reduce the operational overhead of managing servers, load balancers, scaling, and application health monitoring.
AWS Database Migration Service (AWS DMS) is a service that helps users migrate databases to AWS quickly and securely. Users can use AWS DMS to migrate their SQL Server database to Amazon RDS for SQL Server, a fully managed relational database service that offers high availability, scalability, security, and compatibility. This way, the solution can reduce the operational overhead of managing database servers, backups, patches, and upgrades.
Option A is incorrect because using AWS Server Migration Service (AWS SMS) to migrate the on-premises physical application server and the web application VMs to AWS is not cost-effective or scalable. AWS SMS is a service that helps users migrate on-premises workloads to AWS. However, for this use case, migrating the physical application server and the web application VMs to AWS will not take advantage of the AI/ML capabilities of Amazon SageMaker or the managed services of AWS Elastic Beanstalk and Amazon RDS.
Option C is incorrect because using AWS Application Migration Service to migrate the on-premises personalization model and VMs to Amazon EC2 instances in Auto Scaling groups is not cost-effective or scalable. AWS Application Migration Service is a service that helps users migrate applications from on-premises or other clouds to AWS without making any changes to their applications. However, for this use case, migrating the personalization model and VMs to EC2 instances will not take advantage of the AI/ML capabilities of Amazon SageMaker or the managed services of AWS Elastic Beanstalk and Amazon RDS.
Option D is incorrect because containerizing the personalization model and the Java application and using Amazon Elastic Kubernetes Service (Amazon EKS) managed node groups to deploy them to Amazon EKS is not necessary or cost-effective. Amazon EKS is a service that allows users to run Kubernetes on AWS without needing to install, operate, and maintain their own Kubernetes control plane or nodes. However, for this use case, containerizing and deploying the personalization model and the Java application will not take advantage of the AI/ML capabilities of Amazon SageMaker or the managed services of AWS Elastic Beanstalk. Moreover, using S3 Glacier Deep Archive as a storage class for images will incur a high retrieval fee and latency for accessing them.
NEW QUESTION # 355
A solutions architect wants to make sure that only AWS users or roles with suitable permissions can access a new Amazon API Gateway endpoint The solutions architect wants an end-to-end view of each request to analyze the latency of the request and create service maps How can the solutions architect design the API Gateway access control and perform request inspections?
Answer: C
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/iam-authentication-api-gateway/
NEW QUESTION # 356
A retail company has structured its AWS accounts to be part of an organization in AWS Organizations. The company has set up consolidated billing and has mapped its departments to the following OUs: Finance, Sales, Human Resources (HR), Marketing, and Operations. Each OU has multiple AWS accounts, one for each environment within a department. These environments are development, test, pre-production, and production.
The HR department is releasing a new system that will launch in 3 months. In preparation, the HR department has purchased several Reserved Instances (RIs) in its production AWS account. The HR department will install the new application on this account. The HR department wants to make sure that other departments cannot share the RI discounts.
Which solution will meet these requirements?
Answer: C
Explanation:
Explanation
This solution will meet the HR department's requirements because it allows the company to turn off RI sharing for the specific production account of the HR department through the organization's management account.
This will prevent the reserved instances from being shared across the organization, and other departments will not be able to access or use the RIs. This approach allows the organization to manage the sharing of RIs at a central level, which could be useful if there are multiple departments or accounts that need to be managed in this way.
NEW QUESTION # 357
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