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The topics covered in the SAP-C02 Exam include advanced AWS services such as AWS Lambda, AWS Elastic Beanstalk, AWS CloudFormation, and AWS CloudTrail. Candidates are also tested on their knowledge of designing and deploying multi-tier architectures, hybrid architectures, and highly available and fault-tolerant systems on AWS. Security, compliance, and troubleshooting are also important topics covered in the exam.
Amazon SAP-C02 Exam Syllabus Topics:
Topic
Details
Topic 1
- Continuous Improvement for Existing Solutions: Through this topic, AWS solutions architects gain insights into strategies for enhancing operational excellence across deployed solutions. It emphasizes improving security, performance, and reliability through iterative refinement.
Topic 2
- Accelerate Workload Migration and Modernization: This topic focuses on enabling AWS solutions architects to identify workloads and processes suitable for migration. It includes determining optimal migration approaches, redefining architectures for existing workloads, and discovering opportunities for modernization and enhancements.
Topic 3
- Design for New Solutions: This topic equips AWS solutions architects to design deployment strategies that align with business goals while ensuring continuity through robust planning. It addresses determining security controls based on varying requirements.
Topic 4
- Design Solutions for Organizational Complexity: In this topic, AWS solutions architects learn to architect network connectivity strategies tailored to complex organizational needs. Moreover, the topic emphasizes prescribing security controls and crafting reliable and resilient architectures. Additionally, the topic covers designing multi-account AWS environments and determining cost optimization and visibility strategies to balance functionality and efficiency within a large-scale organizational framework.
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The SAP-C02 exam is a comprehensive test that covers a wide range of topics related to AWS architecture, including designing and deploying highly available, fault-tolerant, and scalable systems, selecting the appropriate AWS services to meet specific application requirements, and designing and deploying enterprise-wide scalable operations on AWS. SAP-C02 Exam also covers advanced security topics, including data encryption, identity and access management, and network security.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q458-Q463):
NEW QUESTION # 458
A company has an application that runs as a ReplicaSet of multiple pods in an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The EKS cluster has nodes in multiple Availability Zones. The application generates many small files that must be accessible across all running instances of the application. The company needs to back up the files and retain the backups for 1 year.
Which solution will meet these requirements while providing the FASTEST storage performance?
- A. Create an Amazon Elastic Block Store (Amazon EBS) volume. Enable the EBS Multi-Attach feature.
Configure the ReplicaSet to mount the EBS volume. Direct the application to store files inthe EBS volume. Configure AWS Backup to back up and retain copies of the data for 1 year. - B. Create an Amazon S3 bucket. Configure the ReplicaSet to mount the S3 bucket. Direct the application to store files in the S3 bucket. Configure S3 Versioning to retain copies of the data. Configure an S3 Lifecycle policy to delete objects after 1 year.
- C. Configure the ReplicaSet to use the storage available on each of the running application pods to store the files locally. Use a third-party tool to back up the EKS cluster for 1 year.
- D. Create an Amazon Elastic File System (Amazon EFS) file system and a mount target for each subnet that contains nodes in the EKS cluster. Configure the ReplicaSet to mount the file system. Direct the application to store files in the file system. Configure AWS Backup to back up and retain copies of the data for 1 year.
Answer: D
Explanation:
In the past, EBS can be attached only to one ec2 instance but not anymore but there are limitations like - it works only on io1/io2 instance types and many others as described here. https://docs.aws.amazon.com
/AWSEC2/latest/UserGuide/ebs-volumes-multi.html EFS has shareable storage In terms of performance, Amazon EFS is optimized for workloads that require high levels of aggregate throughput and IOPS, whereas EBS is optimized for low-latency, random access I/O operations. Amazon EFS is designed to scale throughput and capacity automatically as your storage needs grow, while EBS volumes can be resized on demand.
NEW QUESTION # 459
A company is migrating an application to the AWS Cloud. The application runs in an on-premises data center and writes thousands of images into a mounted NFS file system each night After the company migrates the application, the company will host the application on an Amazon EC2 instance with a mounted Amazon Elastic File System (Amazon EFS) file system.
The company has established an AWS Direct Connect connection to AWS Before the migration cutover. a solutions architect must build a process that will replicate the newly created on-premises images to the EFS file system What is the MOST operationally efficient way to replicate the images?
- A. Configure a periodic process to run the aws s3 sync command from the on-premises file system to Amazon S3 Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system
- B. Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system Send data over the Direct Connect connection to an S3 bucket by using a public VIF Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system
- C. Deploy an AWS Storage Gateway file gateway with an NFS mount point. Mount the file gateway file system on the on-premises server. Configure a process to periodically copy the images to the mount point
- D. Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system Send data over the Direct Connect connection to an AWS PrivateLink interface VPC endpoint for Amazon EFS by using a private VIF Configure a DataSync scheduled task to send the images to the EFS file system every 24 hours.
Answer: D
Explanation:
https://aws.amazon.com/blogs/storage/transferring-files-from-on-premises-to-aws-and-back-without-leaving-your-vpc-using-aws-datasync/
NEW QUESTION # 460
A company runs AWS workloads that are integrated with software as a service (SaaS) applications. The company needs to analyze the SaaS applications to identify unused licenses. Which solution will meet this requirement with the LEAST operational overhead?
- A. Use AWS App Runner to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.
- B. Use AWS AppFabric to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.
- C. Create an AWS Lambda function to retrieve audit logs from the SaaS applications and to store the data in Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.
- D. Use AWS License Manager automated discovery to retrieve audit logs from the SaaS applications. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.
Answer: B
NEW QUESTION # 461
A Solutions Architect is constructing a containerized.NET Core application for AWS Fargate. The application's backend needs a high-availability version of Microsoft SQL Server. All application levels must be extremely accessible. The credentials associated with the SQL Server connection string should not be saved to disk inside the.NET Core front-end containers.
Which tactics should the Solutions Architect use to achieve these objectives?
- A. Create an Auto Scaling group to run SQL Server on Amazon EC2. Create a secret in AWS Secrets Manager for the credentials to SQL Server running on EC2. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server on EC2.
Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones. - B. Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create non- persistent empty storage for the .NET Core containers in the Fargate task definition to store the sensitive information. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be written to the non-persistent empty storage on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
- C. Set up SQL Server to run in Fargate with Service Auto Scaling. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server running in Fargate. Specify the ARN of the secret in AWS Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
- D. Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service in Fargate using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
Answer: D
Explanation:
Explanation
Secrets Manager natively supports SQL Server on RDS. No real need to create additional 'ephemeral storage' to fetch credentials, as these can be injected to containers as environment variables.
https://aws.amazon.com/premiumsupport/knowledge-center/ecs-data-security-container-task/
NEW QUESTION # 462
A company creates an Amazon API Gateway API and shares the API with an external development team. The API uses AWS Lambda functions and is deployed to a stage that is named Production.
The external development team is the sole consumer of the API. The API experiences sudden increases of usage at specific times, leading to concerns about increased costs. The company needs to limit cost and usage without reworking the Lambda functions.
Which solution will meet these requirements MOST cost-effectively?
- A. Configure the API to send requests to Amazon Simple Queue Service (Amazon SQS) queues instead of directly to the Lambda functions. Update the Lambda functions to consume messages from the queues and to process the requests. Set up the queues to invoke the Lambda functions when new messages arrive.
- B. Create an API Gateway API Key and usage plan. Define throttling limits and quotas in the usage plan. Associate the usage plan with the Production stage and the API key. Share the API key with the external development team.
- C. Create an API Gateway API key and an AWS WAF Regional web ACL. Associate the web ACL with the Production stage. Add a rate-based rule to the web ACL. In the rule, specify the rate limit and a custom request aggregation that uses the X-API-Key header. Share the API key with the external development team.
- D. Configure provisioned concurrency for each Lambda function. Use AWS Application Auto Scaling to register the Lambda functions as targets. Set up scaling schedules to increase and decrease capacity to match changes in API usage.
Answer: B
NEW QUESTION # 463
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