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Amazon SAP-C02 Exam is a certification program that is designed for professionals who want to demonstrate their advanced skills and knowledge in Amazon Web Services (AWS) solutions architecture. AWS Certified Solutions Architect - Professional (SAP-C02) certification validates the candidate's ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform. AWS Certified Solutions Architect - Professional (SAP-C02) certification covers a wide range of topics, including AWS services, architecture patterns, data management, security, and more. AWS Certified Solutions Architect - Professional (SAP-C02) certification is intended for experienced AWS professionals who are looking to take their career to the next level.
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Amazon SAP-C02 is a certification exam that tests the knowledge and skills of an individual in designing and deploying AWS solutions using best practices and architectural principles. It is intended for professionals who have experience in the field of AWS solutions architecture and want to validate their skills and knowledge. Passing the SAP-C02 Exam demonstrates that an individual has the ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS.
NEW QUESTION # 362
A company runs a Python script on an Amazon EC2 instance to process data. The script runs every
10 minutes. The script ingests files from an Amazon S3 bucket and processes the files. On average, the script takes approximately 5 minutes to process each file The script will not reprocess a file that the script has already processed.
The company reviewed Amazon CloudWatch metrics and noticed that the EC2 instance is idle for approximately 40% of the time because of the file processing speed. The company wants to make the workload highly available and scalable. The company also wants to reduce long-term management overhead.
Which solution will meet these requirements MOST cost-effectively?
Answer: C
Explanation:
Explanation
migrating the data processing script to an AWS Lambda function and using an S3 event notification to invoke the Lambda function to process the objects when the company uploads the objects. This solution meets the company's requirements of high availability and scalability, as well as reducing long-term management overhead, and is likely to be the most cost-effective option.
NEW QUESTION # 363
A company is planning to migrate workloads from its on-premises data center to Amazon EC2 instances. The workloads run on physical servers and VMware virtual servers. The company has gathered details about each on-premises server and virtual server, including server specification, CPU utilization, and memory utilization. The company has stored these details in a .csv file named onprem.csv.
Before the migration, the company must estimate the cost of running the servers on AWS and must determine recommended EC2 instance types for the servers. The company must export this information to a different .csv file.
Which solution will meet these requirements?
Answer: A
NEW QUESTION # 364
A global company runs an analytics application on Amazon EC2 for computing. The company uses Amazon EBS as primary storage for raw and processed data. Users manually upload raw data daily to Amazon EC2 by using SSH from a local on-premises storage computer. The analytics application processes the data and a user manually uploads the data to Amazon S3 for long-term storage.
The company wants to containerize the processing logic and migrate the processing logic to Amazon EKS.
The company needs an automated solution to upload and move the processed data. The solution must have multiprotocol support and be usable from the EKS cluster.
Which solution meets these requirements with the LEAST operational effort?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
This explanation is based on AWS documentation and best practices but is paraphrased, not a literal extract.
The company wants to move from a manual EC2 and EBS-based workflow to a containerized application on Amazon EKS and automate data movement. The solution must:
* Support automated transfer of raw and processed data.
* Offer multiprotocol support.
* Be directly usable from the EKS cluster as a mounted volume.
* Minimize operational effort by using managed services where possible.
AWS DataSync is a managed service designed to move data between on-premises storage and AWS storage services or between AWS storage services. It can perform scheduled or continuous transfers with minimal operational overhead. For storage accessible from Amazon EKS, a shared file system that supports mounting as a volume is appropriate.
Amazon FSx for NetApp ONTAP provides a fully managed file system with multiprotocol support, including NFS and SMB, and supports features such as snapshots and storage efficiencies. Because it supports multiple protocols, it satisfies the requirement for multiprotocol access and can be mounted by applications running in Amazon EKS using standard Kubernetes persistent volume mechanisms.
In the correct solution (option C), DataSync is used to copy raw data from the on-premises environment to FSx for NetApp ONTAP. The FSx for NetApp ONTAP file system is then mounted as a volume in the EKS cluster, allowing the containerized analytics processing logic to read and write data directly. After processing, DataSync is again used to copy processed data from FSx for NetApp ONTAP to Amazon S3 for long-term storage. This leverages DataSync's native integration with both FSx for NetApp ONTAP and Amazon S3, and avoids the need to run or manage custom upload tooling.
Option A uses Amazon EFS, which supports NFS but does not provide multiprotocol support (for example, SMB), so it does not fully meet the multiprotocol requirement. It also introduces AWS Transfer for SFTP for the processed data upload, which adds an additional managed endpoint and SFTP-based flow, increasing complexity relative to using DataSync end-to-end.
Option B uses Amazon FSx for Lustre, which is optimized for high-performance compute workloads and integrates well with S3, but it is not a multiprotocol file system and is typically accessed via NFS. It does not meet the stated multiprotocol requirement.
Option D uses FSx for NetApp ONTAP (which supports multiprotocol) but relies on AWS Transfer for SFTP to move processed data to S3. While this can work, it adds another managed input endpoint and requires SFTP client configuration and management. Using DataSync directly from FSx for NetApp ONTAP to Amazon S3 (as in option C) is more straightforward, better suited for automated large-scale transfers, and involves less operational overhead.
Therefore, option C meets all the requirements with the least operational effort by using DataSync with FSx for NetApp ONTAP and S3.
References:AWS documentation on AWS DataSync for automated, scheduled data transfers between on- premises storage, FSx file systems, and Amazon S3.AWS documentation on Amazon FSx for NetApp ONTAP including its multiprotocol support (NFS and SMB) and integration with Kubernetes and Amazon EKS.
NEW QUESTION # 365
A company wants to use AWS IAM Identity Center (AWS Single Sign-On) to manage employee access to AWS services. The company uses AWS Organizations to manage its AWS accounts.
Each employee has their own IAM user. Each IAM user is a member of at least one IAM group. Each IAM group has an attached policy that allows members to assume specific roles across the accounts. The roles contain appropriate policies for the expected activities of each group of users in each account. All relevant accounts exist inside a single OU.
The company has already created new users and groups in IAM Identity Center to match the permissions that exist in IAM.
How should the company use IAM Identity Center to implement the existing permissions?
Answer: B
Explanation:
The correct answer is B. This option uses IAM Identity Center to create permission sets that map to the existing IAM roles in each account. This way, the company can leverage the existing policies and roles that are already configured for the expected activities of each group of users in each account. The company also needs to create a customer managed policy that allows the group to assume the roles and attach it to thepermission set. This policy grants the necessary permissions for IAM Identity Center to assume the roles on behalf of the users. Finally, the company can assign user access to the AWS accounts in IAM Identity Center, which will automatically create IAM users and groups in each account based on the permission sets.
Option A is incorrect because it requires creating new policies in each account and giving them the same name. This is not necessary and adds complexity and overhead. The company can use the existing IAM roles and policies that are already configured for each account.
Option C is incorrect because it requires creating new policies in each account and giving them unique names. This is also not necessary and adds complexity and overhead. The company can use the existing IAM roles and policies that are already configured for each account.
Option D is incorrect because it requires adding the OU to the accounts configuration in IAM Identity Center. This is not supported by IAM Identity Center, which only allows adding individual accounts or all accounts in an organization.
NEW QUESTION # 366
A company requires that all internal application connectivity use private IP addresses. To facilitate this policy, a solutions architect has created interface endpoints to connect to AWS public services. Upon testing, the solutions architect notices that the service names are resolving to public IP addresses, and that internal services cannot connect to the interface endpoints.
Which step should the solutions architect take to resolve this issue?
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/vpc/latest/privatelink/vpce-interface.html
NEW QUESTION # 367
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