Exam Name: | AWS Certified Solutions Architect - Professional | ||
Exam Code: | SAP-C02 Dumps | ||
Vendor: | Amazon Web Services | Certification: | AWS Certified Professional |
Questions: | 562 Q&A's | Shared By: | zayne |
A retail company is mounting IoT sensors in all of its stores worldwide. During the manufacturing of each sensor, the company's private certificate authority (CA) issues an X.509 certificate that contains a unique serial number. The company then deploys each certificate to its respective sensor.
A solutions architect needs to give the sensors the ability to send data to AWS after they are installed. Sensors must not be able to send data to AWS until they are installed.
Which solution will meet these requirements?
A company needs to migrate its on-premises database fleet to Amazon RDS. The company is currently using a mixture of Microsoft SQL Server, and Oracle databases. Some of the databases have custom schemas and stored procedures.
Which combination of steps should the company take for the migration? (Select TWO.)
A company has introduced a new policy that allows employees to work remotely from their homes if they connect by using a VPN The company Is hosting Internal applications with VPCs in multiple AWS accounts Currently the applications are accessible from the company's on-premises office network through an AWS Site-to-Site VPN connection The VPC in the company's main AWS account has peering connections established with VPCs in other AWS accounts.
A solutions architect must design a scalable AWS Client VPN solution for employees to use while they work from home
What is the MOST cost-effective solution that meets these requirements?
A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days
The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day
Which solution meets these requirements?