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Amazon SAP-C02 Exam Overview:

Certification Vendor:Amazon AWS
Exam Name:AWS Certified Solutions Architect - Professional
Exam Number:SAP-C02
Available Languages:Japanese, English, Spanish (Latin America), Portuguese (Brazil), Korean, Simplified Chinese
Real Exam Qty:75 (65 scored, 10 unscored)
Certificate Validity Period:3 years
Exam Price:300 USD
Exam Duration:180 minutes
Exam Format:Multiple choice, Multiple response, Scenario-based questions
Passing Score:750 (scaled score 100–1000)
Related Certifications:AWS Certified Solutions Architect - Associate
AWS Certified DevOps Engineer - Professional
AWS Certified Security - Specialty
Recommended Training:AWS Training and Certification
AWS Official Exam Guide
Exam Registration:Pearson VUE
AWS Official Registration
Sample Questions:Amazon SAP-C02 Sample Questions
Exam Way:Online proctored or onsite testing at authorized centers (Pearson VUE, PSI)
Pre Condition:No mandatory prerequisites; recommended: 2+ years of hands-on experience designing and implementing cloud solutions on AWS, AWS Certified Solutions Architect - Associate certification
Official Syllabus URL:https://docs.aws.amazon.com/aws-certification/latest/examguides/solutions-architect-professional-02.html

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The SAP-C02 Certification is an industry-recognized credential that demonstrates an individual's expertise in AWS-based solutions and is highly valued by employers. It also provides a path for career advancement and opens up new opportunities for individuals in the cloud computing industry. AWS Certified Solutions Architect - Professional (SAP-C02) certification is valid for three years, after which individuals have the option to recertify or upgrade to a higher level.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q317-Q322):

NEW QUESTION # 317
A company wants to containerize a multi-tier web application and move the application from an on-premises data center to AWS. The application includes web. application, and database tiers. The company needs to make the application fault tolerant and scalable. Some frequently accessed data must always be available across application servers. Frontend web servers need session persistence and must scale to meet increases in traffic.
Which solution will meet these requirements with the LEAST ongoing operational overhead?

Answer: C

Explanation:
Deploying the application on Amazon EKS with managed node groups simplifies the operational overhead of managing the Kubernetes cluster. Running the web servers and application as Kubernetes deployments ensures that the desired number of pods are always running and can scale up or down as needed. Storing the frontend web server session data in an Amazon DynamoDB table provides a fast, scalable, and durable storage option that can be accessed across multiple Availability Zones. Creating an Amazon EFS volume that all applications will mount at the time of deployment allows the application to share data that is frequently accessed between the web and application tiers. References:
https://docs.aws.amazon.com/eks/latest/userguide/managed-node-groups.html
https://docs.aws.amazon.com/eks/latest/userguide/deployments.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html
https://docs.aws.amazon.com/efs/latest/ug/mounting-fs.html


NEW QUESTION # 318
A software company has deployed an application that consumes a REST API by using Amazon API Gateway. AWS Lambda functions, and an Amazon DynamoDB table. The application is showing an increase in the number of errors during PUT requests. Most of the PUT calls come from a small number of clients that are authenticated with specific API keys. A solutions architect has identified that a large number of the PUT requests originate from one client. The API is noncritical, and clients can tolerate retries of unsuccessful calls. However, the errors are displayed to customers and are causing damage to the API's reputation.
What should the solutions architect recommend to improve the customer experience?

Answer: B

Explanation:
Custermer can accept delay /even failed attempts.
https://aws.amazon.com/premiumsupport/knowledge-center/aws-batch-requests-error/


NEW QUESTION # 319
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?

Answer: C


NEW QUESTION # 320
A company is migrating an on-premises content management system (CMS) to AWS Fargate. The company uses the CMS for blog posts that include text, images, and videos. The company has observed that traffic to blog posts drops by more than 80% after the posts are more than 30 days old The CMS runs on multiple VMs and stores application state on disk This application state is shared across all instances across multiple Availability Zones Images and other media are stored on a separate NFS file share. The company needs to reduce the costs of the existing solution while minimizing the impact on performance.
Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

Answer: D,E


NEW QUESTION # 321
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?

Answer: B

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. Thecompany 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- rules-weighted-target-groups
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#routing-algorithm


NEW QUESTION # 322
......

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