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SAP-C02 Latest Practice Materials | Examcollection SAP-C02 Free Dumps

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As far as the top standard and relevancy of Prepare for your AWS Certified Solutions Architect - Professional (SAP-C02) SAP-C02 valid dumps are concerned, the Amazon Exam Questions are designed and verified by experienced and qualified SAP-C02 exam experts. They work closely and put all their expertise to ensure the top standard of SAP-C02 Exam. The updated AWS Certified Solutions Architect - Professional (SAP-C02) SAP-C02 exam questions are available in three different but high-in-demand formats.

Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Exam is a highly respected certification that demonstrates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. SAP-C02 exam covers a wide range of topics related to AWS architecture and requires extensive preparation and study. However, achieving this certification can open up a wide range of career opportunities and help professionals stand out in a highly competitive job market.

The SAP-C02 exam is the updated version of the previous SAP-C01 exam, and it is designed to test the candidate's knowledge of the latest AWS services and best practices. SAP-C02 Exam consists of multiple-choice and multiple-response questions, and it is timed for 180 minutes. SAP-C02 exam is available in English, Japanese, Korean, and Simplified Chinese. The SAP-C02 certification is a valuable asset for professionals who are looking to advance their careers in AWS and want to demonstrate their expertise in designing and deploying scalable and reliable solutions on the AWS platform.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q226-Q231):

NEW QUESTION # 226
A live-events company is designing a scaling solution for its ticket application on AWS. The application has high peaks of utilization during sale events. Each sale event is a one-time event that is scheduled. The application runs on Amazon EC2 instances that are in an Auto Scaling group.
The application uses PostgreSQL for the database layer.
The company needs a scaling solution to maximize availability during the sale events.
Which solution will meet these requirements?

A. Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
B. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replica. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale event.
C. Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
D. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB cluster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica.Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.

Answer: D

Explanation:
The correct answer is D.
D: This solution meets the requirements because it uses a scheduled scaling policy for the EC2 instances, which can adjust the capacity according to the known sale events. It also uses Amazon Aurora PostgreSQL Multi-AZ DB cluster, which provides high availability and durability for the database. It uses Amazon EventBridge rules and AWS Lambda functions to create a larger Aurora Replica before a sale event and fail over to it, which can improve the performance and handle the increased traffic. It also uses another EventBridge rule and Lambda function to scale down the Aurora Replica after the sale event, which can save costs123 A: This solution is incorrect because it uses predictive scaling policy for the EC2 instances, which is not suitable for one-time events that are scheduled. Predictive scaling is based on historical data and machine learning, which may not accurately forecast the demand for sale events. It also uses Amazon Aurora PostgreSQL Serverless v2 Multi-AZ DB instance, which does not support read replicas. The use of AWS Step Functions state machine and Lambda functions to pre-warm the database is unnecessary and adds complexity45 B: This solution is incorrect because it uses Amazon RDS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas, which may not provide enough performance improvement for the sale events. The use of EventBridge rules and Lambda functions to create a larger read replica and fail over to it is risky and may cause downtime or data loss. The use of another EventBridge rule and Lambda function to scale down the read replica is also risky and may cause inconsistency or data loss67 C: This solution is incorrect because it uses predictive scaling policy for the EC2 instances, which is not suitable for one-time events that are scheduled. Predictive scaling is based on historical data and machine learning, which may not accurately forecast the demand for sale events. The use of AWS Step Functions state machine and Lambda functions to pre-warm the database is unnecessary and adds complexity45 References:
1: Scheduled scaling for Amazon EC2 Auto Scaling 2: Amazon Aurora PostgreSQL features 3: Amazon EventBridge rules 4: Predictive scaling for Amazon EC2 Auto Scaling 5: Amazon Aurora Serverless v2 6:
Multi-AZ DB instance deployments - Amazon Relational Database Service 7: Working with PostgreSQL read replicas - Amazon Relational Database Service

NEW QUESTION # 227
A company is deploying a third-party firewall appliance solution from AWS Marketplace to monitor and protect traffic that leaves the company's AWS environments. The company wants to deploy this appliance into a shared services VPC and route all outbound internet-bound traffic through the appliances.
A solutions architect needs to recommend a deployment method that prioritizes reliability and minimizes failover time between firewall appliances within a single AWS Region. The company has set up routing from the shared services VPC to other VPCs.
Which steps should the solutions architect recommend to meet these requirements? (Select THREE.)

A. Deploy two firewall appliances into the shared services VPC, each in a separate Availability Zone.
B. Create a new Gateway Load Balancer in the shared services VPC. Create a new target group, and attach it to the new Gateway Load Balancer. Add each of the firewall appliance instances to the target group.
C. Deploy two firewall appliances into the shared services VPC. each in the same Availability Zone.
D. Create a VPC Gateway Load Balancer endpoint. Add a route to the route table in the shared services VPC. Designate the new endpoint as the next hop for traffic that enters the shared services VPC from other VPCs.
E. Create a new Network Load Balancer in the shared services VPC. Create a new target group, and attach it to the new Network Load Balancer. Add each of the firewall appliance instances to the target group.
F. Create a VPC interface endpoint. Add a route to the route table in the shared services VPC. Designate the new endpoint as the next hop for traffic that enters the shared services VPC from other VPCs.

Answer: A,B,D

Explanation:
The best solution is to deploy two firewall appliances into the shared services VPC, each in a separate Availability Zone, and create a new Gateway Load Balancer to distribute traffic to them. A Gateway Load Balancer is designed for high performance and high availability scenarios with third-party network virtual appliances, such as firewalls. It operates at the network layer and maintains flow stickiness and symmetry to a specific appliance instance. It also uses the GENEVE protocol to encapsulate traffic between the load balancer and the appliances. To route traffic from other VPCs to the Gateway Load Balancer, a VPC Gateway Load Balancer endpoint is needed. This is a VPC endpoint that provides private connectivity between the appliances in the shared services VPC and the application servers in other VPCs. The endpoint must be added as the next hop in the route table for the shared services VPC. This solution ensures reliability and minimizes failover time between firewall appliances within a single AWS Region. References: What is a Gateway Load Balancer?, Gateway load balancer - Azure Load Balancer, Introducing Azure Gateway Load Balancer:
Deploy and scale network ...

NEW QUESTION # 228
A company has many AWS accounts and uses AWS Organizations to manage all of them. A solutions architect must implement a solution that the company can use to share a common network across multiple accounts.
The company's infrastructure team has a dedicated infrastructure account that has a VPC. The infrastructure team must use this account to manage the network. Individual accounts cannot have the ability to manage their own networks. However, individual accounts must be able to create AWS resources within subnets.
Which combination of actions should the solutions architect perform to meet these requirements? (Select TWO.)

A. Create a transit gateway in the infrastructure account.
B. Create a resource share in AWS Resource Access Manager in the infrastructure account. Select the specific AWS Organizations OU that will use the shared network. Select each prefix list to associate with the resource share.
C. Enable resource sharing from the AWS Organizations management account.
D. Create a resource share in AWS Resource Access Manager in the infrastructure account. Select the specific AWS Organizations OU that will use the shared network. Select each subnet to associate with the resource share.
E. Create VPCs in each AWS account within the organization in AWS Organizations. Configure the VPCs to share the same CIDR range and subnets as the VPC in the infrastructure account. Peer the VPCs in each individual account with the VPC in the infrastructure account,

Answer: C,D

Explanation:
Explanation
https://docs.aws.amazon.com/vpc/latest/userguide/sharing-managed-prefix-lists.html

NEW QUESTION # 229
A company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements:
*Provide near-real-time analytics of the inbound genomic data
*Ensure the data is flexible, parallel, and durable
*Deliver results of processing to a data warehouse
Which strategy should a solutions architect use to meet these requirements?

A. Use Amazon Kinesis Data Streams to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon Redshift cluster using Amazon EMR.
B. Use an Amazon API Gateway to put requests into an Amazon SQS queue, analyze the data with an AWS Lambda function, and save the results to an Amazon Redshift cluster using Amazon EMR.
C. Use Amazon Kinesis Data Firehose to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon RDS instance.
D. Use Amazon S3 to collect the inbound device data, analyze the data from Amazon SOS with Kinesis, and save the results to an Amazon Redshift cluster.

Answer: A

Explanation:
Kinesis Data Streams is a real-time streaming service and provide near-real-time analytics. Also the question
"Deliver results of processing to a data warehouse" and this option has redshift cluster which is a powerful data warehousing solution that can handle large-scale analytics workloads.

NEW QUESTION # 230
A company has an on-premises website application that provides real estate information for potential renters and buyers. The website uses a Java backend and a NOSQL MongoDB database to store subscriber dat a.
The company needs to migrate the entire application to AWS with a similar structure. The application must be deployed for high availability, and the company cannot make changes to the application Which solution will meet these requirements?

A. use an Amazon Aurora DB cluster as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
B. Configure Amazon DocumentD3 (with MongoDB compatibility) with appropriately sized instances in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
C. Use MongoDB on Amazon EC2 instances as the database for the subscriber data. Deploy EC2 instances in an Auto Scaling group in a single Availability Zone for the Java backend application.
D. Configure Amazon DocumentDB (with MongoDB compatibility) in on-demand capacity mode in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.

Answer: B

Explanation:
On-demand capacity mode is the function of Dynamodb. https://aws.amazon.com/blogs/news/running-spiky-workloads-and-optimizing-costs-by-more-than-90-using-amazon-dynamodb-on-demand-capacity-mode/ Amazon DocumentDB Elastic Clusters https://aws.amazon.com/blogs/news/announcing-amazon-documentdb-elastic-clusters/ Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application. This will provide high availability and scalability, while allowing the company to retain the same database structure as the original application.

NEW QUESTION # 231
......

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