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The SAP-C02 exam consists of 75 multiple-choice and multiple-response questions, which need to be completed within 180 minutes. SAP-C02 exam covers a wide range of topics, including high availability and business continuity, cost optimization, deployment management, network design, data storage, security, and scalability. Candidates need to score at least 750 out of 1000 to pass the exam.

Passing the SAP-C02 exam demonstrates that you have the technical skills and knowledge required to design and deploy complex, scalable, and highly available systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is highly valued by employers and can lead to higher salaries and better job opportunities. It also demonstrates your commitment to your career and your willingness to invest time and effort in learning and mastering the latest AWS technologies.

Amazon SAP-C02 Exam is a certification exam aimed at IT professionals who wish to validate their skills and knowledge in designing and deploying AWS solutions. It is the second version of the AWS Certified Solutions Architect - Professional exam and is designed to test an individual’s ability to design and deploy scalable, cost-effective, and fault-tolerant systems on AWS.

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The AWS Certified Solutions Architect - Professional (SAP-C02) PDF practice material contains actual Amazon SAP-C02 Exam Questions compiled by certified experts around the globe to benefit candidates. The criteria and pattern of the AWS Certified Solutions Architect - Professional (SAP-C02) exam often change, and hence it is essential to use the updated exam study material for preparation. VCEDumps provides free updates after purchase so that you get the latest Amazon Exam Questions for the exam.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q589-Q594):

NEW QUESTION # 589
A company wants to manage the costs associated with a group of 20 applications that are infrequently used, but are still business-critical, by migrating to AWS. The applications are a mix of Java and Node.js spread across different instance clusters. The company wants to minimize costs while standardizing by using a single deployment methodology.
Most of the applications are part of month-end processing routines with a small number of concurrent users, but they are occasionally run at other times Average application memory consumption is less than 1 GB. though some applications use as much as 2.5 GB of memory during peak processing. The most important application in the group is a billing report written in Java that accesses multiple data sources and often runs for several hours.
Which is the MOST cost-effective solution?

A. Deploy a separate AWS Lambda function tor each application. Use AWS CloudTrail logs and Amazon CloudWatch alarms to verify completion of critical jobs.
B. Deploy AWS Elastic Beanstalk for each application with Auto Scaling to ensure that all requests have sufficient resources. Monitor each AWS Elastic Beanstalk deployment by using CloudWatch alarms.
C. Deploy Amazon ECS containers on Amazon EC2 with Auto Scaling configured for memory utilization of 75%. Deploy an ECS task for each application being migrated with ECS task scaling. Monitor services and hosts by using Amazon CloudWatch.
D. Deploy a new Amazon EC2 instance cluster that co-hosts all applications by using EC2 Auto Scaling and Application Load Balancers. Scale cluster size based on a custom metric set on instance memory utilization. Purchase 3-year Reserved Instance reservations equal to the GroupMaxSize parameter of the Auto Scaling group.

Answer: C

Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/AWSHowTo.cloudwatch.html Elastic Beanstalk automatically uses Amazon CloudWatch to help you monitor your application and environment status. You can navigate to the Amazon CloudWatch console to see your dashboard and get an overview of all of your resources as well as your alarms. You can also choose to view more metrics or add custom metrics.

NEW QUESTION # 590
A company is running an application in the AWS Cloud. The application consists of microservices that run on a fleet of Amazon EC2 instances in multiple Availability Zones behind an Application Load Balancer. The company recently added a new REST API that was implemented in Amazon API Gateway. Some of the older microservices that run on EC2 instances need to call this new API. The company does not want the API to be accessible from the public internet and does not want proprietary data to traverse the public internet.
What should a solutions architect do to meet these requirements?

A. Create an AWS Site-to-Site VPN connection between the VPC and the API Gateway. Use API Gateway to generate a unique API key for each microservice. Configure the API methods to require the key.
B. Create an accelerator in AWS Global Accelerator, and connect the accelerator to the API Gateway. Update the route table for all VPC subnets with a route to the created Global Accelerator endpoint IP address. Add an API key for each service to use for authentication.
C. Modify the API Gateway to use IAM authentication Update the IAM policy for the IAM role that is assigned to the EC2 instances to allow access to the API Gateway Move the API Gateway into a new VPC. Deploy a transit gateway and connect the VPCs.
D. Create an interface VPC endpoint for API Gateway, and set an endpoint policy to only allow access to the specific API. Add a resource policy to API Gateway to only allow access from the VPC endpoint. Change the API Gateway endpoint type to private.

Answer: D

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-vpc-endpoint- policies.html

NEW QUESTION # 591
A company is running an application in the AWS Cloud. The core business logic is running on a set of Amazon EC2 instances in an Auto Scaling group. An Application Load Balancer (ALB) distributes traffic to the EC2 instances. Amazon Route 53 record api.example.com is pointing to the ALB.
The company's development team makes major updates to the business logic. The company has a rule that when changes are deployed, only 10% of customers can receive the new logic during a testing window. A customer must use the same version of the business logic during the testing window.
How should the company deploy the updates to meet these requirements?

A. Create a new launch configuration for the Auto Scaling group. Specify the launch configuration to use the AutoScaIingRoIIingUpdate policy, and set the MaxBatchSize option to 10. Replace the launch configuration on the Auto Scaling group. Deploy the changes.
B. Create a second ALB, and deploy the new logic to a set of EC2 instances in a new Auto Scaling group.
Configure the ALB to distribute traffic to the EC2 instances. Update the Route 53 record to use weighted routing, and point the record to both of the ALBs.
C. Create a second target group that is referenced by the ALB. Deploy the new logic to EC2 instances in this new target group. Update the ALB listener rule to use weighted target groups. Configure ALB target group stickiness.
D. Create a second Auto Scaling group that is referenced by the ALB. Deploy the new logic on a set of EC2 instances in this new Auto Scaling group. Change the ALB routing algorithm to least outstanding requests (LOR). Configure ALB session stickiness.

Answer: C

Explanation:
Explanation
The company should create a second target group that is referenced by the ALB. The company should deploy the new logic to EC2 instances in this new target group. The company should update the ALB listener rule to use weighted target groups. The company should configure ALB target group stickiness. This solution will meet the requirements because weighted target groups are a feature that enables you to distribute traffic across multiple target groups using a single listener rule. You can specify a weight for each target group, which determines the percentage of requests that are routed to that target group. For example, if you specify two target groups, each with a weight of 10, each target group receives half the requests1. By creating a second target group and deploying the new logic to EC2 instances in this new target group, the company can have two versions of its business logic running in parallel. By updating the ALB listener rule to use weighted target groups, the company can control how much traffic is sent to each version. By configuring ALB target group stickiness, the company can ensure that a customer uses the same version of the business logic during the testing window. Target group stickiness is a feature that enables you to bind a user's session to a specific target within a target group for the duration of the session2.
The other options are not correct because:
* Creating a second ALB and deploying the new logic to a set of EC2 instances in a new Auto Scaling group would not be as cost-effective or simple as using weighted target groups. A second ALB would incur additional charges and require more configuration and management. Updating the Route 53 record to use weighted routing would not ensure that a customer uses the same version of the business logic during the testing window, as DNS caching could affect how requests are routed.
* Creating a new launch configuration for the Auto Scaling group and replacing it on the Auto Scaling group would not allow for gradual traffic shifting between versions. A launch configuration is a template that an Auto Scaling group uses to launch EC2 instances. You can specify information such as the AMI ID, instance type, key pair, security groups, and block device mapping for your instances3.
However, replacing the launch configuration on an Auto Scaling group would affect all instances in that group, not just 10% of customers.
* Creating a second Auto Scaling group and changing the ALB routing algorithm to least outstanding requests (LOR) would not allow for controlled traffic shifting between versions. A second Auto Scaling group would require more configuration and management. The LOR routing algorithm is a feature that enables you to route traffic based on how quickly targets respond to requests. The load balancer selects a target from the target group with the fewest outstanding requests4. However, this algorithm does not take into account customer sessions or weights.
References:
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-listeners.html#listener-
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/sticky-sessions.html
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/LaunchConfiguration.html
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-target-groups.html#rou

NEW QUESTION # 592
A company is in the process of implementing AWS Organizations to constrain its developers to use only Amazon EC2. Amazon S3 and Amazon DynamoDB. The developers account resides In a dedicated organizational unit (OU). The solutions architect has implemented the following SCP on the developers account:

When this policy is deployed, IAM users in the developers account are still able to use AWS services that are not listed in the policy. What should the solutions architect do to eliminate the developers' ability to use services outside the scope of this policy?

A. Add an explicit deny statement using a wildcard to the end of the SCP
B. Remove the Full AWS Access SCP from the developer account's OU
C. Modify the Full AWS Access SCP to explicitly deny all services
D. Create an explicit deny statement for each AWS service that should be constrained

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_inheritance_auth.html

NEW QUESTION # 593
A company runs an application on AWS. An AWS Lambda function uses credentials to authenticate to an Amazon RDS tor MySQL DB instance. A security risk assessment identified that these credentials are not frequently rotated. Also, encryption at rest is not enabled for the DB instance. The security team requires that both of these issues be resolved.
Which strategy should a solutions architect recommend to remediate these security risks?

A. Configure the Lambda function to store and retrieve the database credentials as encrypted AWS Systems Manager Parameter Store parameters.
Create another Lambda function to automatically rotate the credentials.
Create an encrypted read replica of the DB instance.
Promote the encrypted read replica to be the new primary node.
B. Enable IAM DB authentication on the DB instance.
Grant the Lambda execution role access to the DB instance.
Modify the DB instance and enable encryption.
C. Enable IAM DB authentication on the DB instance.
Grant the Lambda execution role access to the DB instance.
Create an encrypted read replica of the DB instance.
Promote the encrypted read replica to be the new primary node.
D. Configure the Lambda function to store and retrieve the database credentials in AWS Secrets Manager and enable rotation of the credentials.
Take a snapshot ol the DB instance and encrypt a copy of that snapshot.
Replace the DB instance with a new DB instance that is based on the encrypted snapshot.

Answer: D

Explanation:
Parameter store can store DB credentials as secure string but CANNOT rotate secrets, hence, go with A + Cannot enable encryption on existing MySQL RDS instance, must create a new encrypted one from unencrypted snapshot.
https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating-secrets.html

NEW QUESTION # 594
......

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SAP-C02 Examcollection Questions Answers | SAP-C02 New Exam Camp

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q589-Q594):

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