Amazon Web Services Related Exams
SAP-C02 Exam
The Amazon Web Services Certified Solutions Architect - Professional (SAP-C02) and the Amazon Web Services Certified DevOps Engineer - Professional (DOP-C02) exams are designed for different roles and skill sets within the Amazon Web Services ecosystem.
A company has deployed an application on AWS Elastic Beanstalk. The application uses Amazon Aurora for the database layer. An Amazon CloudFront distribution serves web requests and includes the Elastic Beanstalk domain name as the origin server. The distribution is configured with an alternate domain name that visitors use when they access the application.
Each week, the company takes the application out of service for routine maintenance. During the time that the application is unavailable, the company wants visitors to receive an informational message instead of a CloudFront error message.
A solutions architect creates an Amazon S3 bucket as the first step in the process.
Which combination of steps should the solutions architect take next to meet the requirements? (Choose three.)
A company is using a single AWS Region for its ecommerce website. The website includes a web application that runs on several Amazon EC2 instances behind an Application Load Balancer (ALB). The website also includes an Amazon DynamoDB table. A custom domain name in Amazon Route 53 is linked to the ALB. The company created an SSL/TLS certificate in AWS Certificate Manager (ACM) and attached the certificate to the ALB. The company is not using a content delivery network as part of its design. The company wants to replicate its entire application stack in a second Region to provide disaster recovery, plan for future growth, and provide improved access time to users. A solutions architect needs to implement a solution that achieves these goals and minimizes administrative overhead. Which combination of steps should the solutions architect take to meet these requirements? (Select THREE.)
A team of data scientists is using Amazon SageMaker instances and SageMaker APIs to train machine learning (ML) models. The SageMaker instances are deployed in a
VPC that does not have access to or from the internet. Datasets for ML model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.
Occasionally, the data scientists require access to the Python Package Index (PyPl) repository to update Python packages that they use as part of their workflow. A solutions architect must provide access to the PyPI repository while ensuring that the SageMaker instances remain isolated from the internet.
Which solution will meet these requirements?