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Reliable SAP-C02 Test Experience | Trustworthy SAP-C02 Practice

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To prepare for the SAP-C02 exam, you can take various online courses and practice exams offered by AWS or third-party providers. You can also join online communities and forums to connect with other AWS professionals and learn from their experiences. Additionally, you should gain hands-on experience working with AWS solutions and technologies to reinforce your knowledge and skills. With the right preparation and dedication, you can earn the SAP-C02 certification and take your career to the next level.
The SAP-C02 exam is a comprehensive, two-part exam that tests the candidate's ability to design and deploy AWS services and solutions in a variety of scenarios. SAP-C02 Exam covers a wide range of topics, including AWS architecture, security, networking, data storage, and troubleshooting. Candidates must demonstrate their ability to design and implement complex AWS architectures, optimize performance and cost, and manage security and compliance requirements. The SAP-C02 exam is challenging, but passing it can open up many career opportunities for AWS professionals, including high-paying roles as senior solutions architects or cloud infrastructure architects.
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The SAP-C02 exam measures the candidate's knowledge and skills in various areas such as AWS architecture, designing and deploying highly available and fault-tolerant systems, migration of complex applications to AWS, cost optimization, security, and compliance. SAP-C02 Exam comprises 75 multiple-choice and multiple-answer questions and has a time limit of 180 minutes. The passing score for SAP-C02 exam is 750 out of 1000.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q455-Q460):NEW QUESTION # 455
A company developed a pilot application by using AWS Elastic Beanstalk and Jav a. To save costs during development, the company's development team deployed the application into a single-instance environment. Recent tests indicate that the application consumes more CPU than expected. CPU utilization is regularly greater than 85%, which causes some performance bottlenecks.
A solutions architect must mitigate the performance issues before the company launches the application to production.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Create a second Elastic Beanstalk environment. Apply the traffic-splitting deployment policy. Specify a percentage of incoming traffic to direct to the new environment in the average CPU utilization is over 85% for 5 minutes.
  • B. Create a new Elastic Beanstalk application. Select a load-balanced environment type. Select all Availability Zones. Add a scale-out rule that will run if the maximum CPU utilization is over 85% for 5 minutes.
  • C. Modify the existing environment's capacity configuration to use a load-balanced environment type. Select all Availability Zones. Add a scale-out rule that will run if the average CPU utilization is over 85% for 5 minutes.
  • D. Select the Rebuild environment action with the load balancing option Select an Availability Zones Add a scale-out rule that will run if the sum CPU utilization is over 85% for 5 minutes.
Answer: B

NEW QUESTION # 456
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. Create a Client VPN endpoint in the mam AWS account Establish connectivity between the Client VPN endpoint and the AWS Site-to-Site VPN
  • B. Create a Client VPN endpoint in the main AWS account Provision a transit gateway that is connected to each AWS account Configure required routing that allows access to internal applications
  • C. Create a Client VPN endpoint in each AWS account Configure required routing that allows access to internal applications
  • D. Create a Client VPN endpoint in the mam AWS account Configure required routing that allows access to internal applications
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/vpn/ ... cenario-peered.html Create a Client VPN endpoint in the main AWS account. Configure required routing that allows access to internal applications is the MOST cost-effective solution that meets these requirements. This solution allows employees to connect to the main AWS account using a Client VPN endpoint, and then use peering connections established with other AWS accounts to access the internal applications. This eliminates the need for additional Client VPN endpoints in each AWS account, reducing costs.

NEW QUESTION # 457
A company is storing data on premises on a Windows file server. The company produces 5 GB of new data daily.
The company migrated part of its Windows-based workload to AWS and needs the data to be available on a file system in the cloud. The company already has established an AWS Direct Connect connection between the on-premises network and AWS.
Which data migration strategy should the company use?
  • A. Use AWS DataSync to schedule a daily task lo replicate data between the on-premises Windows file server and Amazon Elastic File System (Amazon EFS),
  • B. Use AWS DataSync to schedule a daily task to replicate data between the on-premises Windows file server and Amazon FSx.
  • C. Use AWS Data Pipeline to schedule a daily task to replicate data between the on-premises Windows file server and Amazon Elastic File System (Amazon EFS).
  • D. Use the file gateway option in AWS Storage Gateway to replace the existing Windows file server, and point the existing file share to the new file gateway.
Answer: B
Explanation:
https://aws.amazon.com/storagegateway/file/
https://docs.aws.amazon.com/fsx/ ... o-fsx-datasync.html
https://docs.aws.amazon.com/syst ... tml#prereqs-os-wind

NEW QUESTION # 458
A fitness tracking company serves users around the world, with its primary markets in North America and Asia. The company needs to design an infrastructure for its read-heavy user authorization application with the following requirements:
* Be resilient to problems with the application in any Region.
* Write to a database in a single Region.
* Read from multiple Regions.
* Support resiliency across application tiers in each Region.
* Support the relational database semantics reflected in the application.
Which combination of steps should a solutions architect take? (Select TWO.)
  • A. Use an Amazon Route 53 geoproximity routing policy combined with a multivalue answer routing policy.
  • B. Set up web, application, and Amazon RDS for MySQL instances in each Region. Set up the application so that reads are local and writes are partitioned based on the user. Set up a Multi-AZ failover for the web, application, and database servers. Set up cross-Region replication for the database layer.
  • C. Use an Amazon Route 53 geolocation routing policy combined with a failover routing policy.
  • D. Set up active-active web and application servers in each Region. Deploy an Amazon Aurora global database with clusters in each Region. Set up the application to use the in-Region Aurora database endpoints. Create snapshots of the web and application servers and store them in an Amazon S3 bucket in both Regions.
  • E. Deploy web. application, and MySQL database servers to Amazon EC2 instances in each Region. Set up the application so that reads and writes are local to the Region. Create snapshots of the web, application, and database servers and store the snapshots in an Amazon S3 bucket in both Regions. Set up cross-Region replication for the database layer.
Answer: C,D
Explanation:
Explanation
https://docs.aws.amazon.com/Rout ... routing-policy.html Geoproximity routing policy is good to control the user traffic to specific regions. However, a multivalue answer routing policy may cause the users to be randomly sent to other healthy regions that may be far away from the user's location. You can use geolocation routing policy to direct the North American users to your servers on the North America region and configure failover routing to the Asia region in case the North America region fails. You can configure the same for the Asian users pointed to the Asia region servers and have the North America region as its backup.

NEW QUESTION # 459
A company that provisions job boards for a seasonal workforce is seeing an increase in traffic and usage. The backend services run on a pair of Amazon EC2 instances behind an Application Load Balancer with Amazon DynamoDB as the datastore. Application read and write traffic is slow during peak seasons.
Which option provides a scalable application architecture to handle peak seasons with the LEAST development effort?
  • A. Use Auto Scaling groups for the backend services. Use Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB.
  • B. Migrate the backend services to AWS Lambda. Configure DynamoDB to use global tables.
  • C. Migrate the backend services to AWS Lambda. Increase the read and write capacity of DynamoDB.
  • D. Use Auto Scaling groups for the backend services. Use DynamoDB auto scaling.
Answer: D
Explanation:
* Option C is correct because using Auto Scaling groups for the backend services allows the company to scale up or down the number of EC2 instances based on the demand and traffic. This way, the backend services can handle more requests during peak seasons without compromising performance or availability. Using DynamoDB auto scaling allows the company to adjust the provisioned read and write capacity of the table or index automatically based on the actual traffic patterns. This way, the table or index can handle sudden increases or decreases in workload without throttling or overprovisioning1.
* Option A is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, increasing the read and write capacity of DynamoDB manually may not be efficient or cost-effective, as it does not account for the variability of the workload. The company may end up paying for unused capacity or experiencing throttling if the workload exceeds the provisioned capacity1.
* Option B is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, configuring DynamoDB to use global tables may not be necessary or beneficial for the company, as global tables are mainly used for replicating data across multiple AWS Regions for fast local access and disaster recovery. Global tables do not automatically scale the provisioned capacity of each replica table; they still require manual or auto scaling settings2.
* Option D is incorrect because using Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB may introduce additional complexity and latency to the application architecture. Amazon SQS is a message queue service that decouples and coordinates the components of a distributed system. AWS Lambda is a serverless compute service that runs code in response to events. Using these services may require significant development effort to integrate them with the backend services and DynamoDB. Moreover, they may not improve the read performance of DynamoDB, which may also be affected by high traffic3.
Auto Scaling groups
DynamoDB auto scaling
AWS Lambda
DynamoDB global tables
AWS Lambda vs EC2: Comparison of AWS Compute Resources - Simform
Managing throughput capacity automatically with DynamoDB auto scaling - Amazon DynamoDB AWS Aurora Global Database vs. DynamoDB Global Tables Amazon Simple Queue Service (SQS)

NEW QUESTION # 460
......
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