SAP-C02 Valid Test Syllabus | SAP-C02 Valid Test Tutorial

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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Cost Control	18.5%	- Reserved capacity planning 1. Savings Plans 2. Reserved Instances 3. Capacity Reservations - Monitoring and controlling costs 1. Budget alerts 2. Anomaly detection - Rightsizing recommendations - Cost optimization strategies 1. Cost categories 2. Cost allocation tags 3. AWS Cost Explorer 4. AWS Budgets - Resource efficiency 1. Serverless optimization 2. Auto Scaling 3. Managed services
Design for New Solutions	31%	- High availability and fault tolerance 1. Disaster recovery strategies 2. Multi-AZ deployments 3. Backup and restore - Network design 1. Subnet planning 2. Network segmentation 3. Security groups and NACLs 4. VPC architecture - Database migration 1. Database types and selection 2. AWS DMS (Database Migration Service) 3. Schema Conversion Tool (SCT) - Cloud Adoption Readiness 1. Migration strategy assessment 2. 6 Rs of migration - Microservices patterns 1. Serverless architectures (Lambda) 2. Event-driven architecture 3. Containers and ECS/EKS - Multi-tier architecture 1. Application tier 2. Data tier considerations 3. Web tier design - Cost optimization at design phase 1. Spot instances 2. Right-sizing resources 3. Reserved Instances and Savings Plans
Migration Planning	15%	- Migration tools and services 1. AWS Transfer Family 2. AWS Migration Hub 3. AWS Application Migration Service 4. AWS DataSync 5. AWS Server Migration Service - Data migration considerations 1. Large-scale data transfer 2. Snow family devices - Validation and testing post-migration - Migration strategies 1. Rehosting (lift-and-shift) 2. Repurchasing 3. Refactoring 4. Hybrid migration 5. Replatforming
Design for Organizational Complexity	12.5%	- Networks 1. VPN connections 2. Hybrid DNS architecture 3. AWS Direct Connect 4. AWS Transit Gateway - Cross-account strategies and AWS organizations 1. Organizational Units (OUs) 2. AWS Control Tower 3. Service Control Policies (SCPs) - Multi-account AWS environments
Continuous Improvement for Existing Solutions	23%	- Security hardening 1. Security monitoring 2. Identity and access management 3. Encryption strategies - Operational excellence improvements 1. Monitoring and logging (CloudWatch) 2. CI/CD pipelines 3. Infrastructure as Code (CloudFormation, Terraform) - Reviewing existing architectures 1. Cost optimization pillar 2. AWS Well-Architected Framework 3. Security pillar 4. Performance efficiency pillar 5. Reliability pillar 6. Operational excellence pillar - Modernization strategies 1. Containerization 2. Serverless transformation 3. Re-architecting monolithic applications - Performance optimization 1. Database optimization 2. Caching strategies (CloudFront, ElastiCache) 3. CDN implementation

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q120-Q125):

NEW QUESTION # 120
A company's solutions architect is analyzing costs of a multi-application environment. The environment is deployed across multiple Availability Zones in a single AWS Region. After a recent acquisition, the company manages two organizations in AWS Organizations. The company has created multiple service provider applications as AWS PrivateLink-powered VPC endpoint services in one organization. The company has created multiple service consumer applications in the other organization.
Data transfer charges are much higher than the company expected, and the solutions architect needs to reduce the costs. The solutions architect must recommend guidelines for developers to follow when they deploy services. These guidelines must minimize data transfer charges for the whole environment.
Which guidelines meet these requirements? (Select TWO.)

A. Place the service provider applications and the service consumer applications in AWS accounts in the same organization.
B. Create a Savings Plan that provides adequate coverage for the organization's planned inter-Availability Zone data transfer usage.
C. Use AWS Resource Access Manager to share the subnets that host the service provider applications with other accounts in the organization.
D. Turn off cross-zone load balancing for the Network Load Balancer in all service provider application deployments.
E. Ensure that service consumer compute resources use the Availability Zone-specific endpoint service by using the endpoint's local DNS name.

Answer: D,E

Explanation:
Cross-zone load balancing enables traffic to be distributed evenly across all registered instances in all enabled Availability Zones. However, this also increases data transfer charges between Availability Zones. By turning off cross-zone load balancing, the service provider applications can reduce inter-Availability Zone data transfer costs. Similarly, by using the Availability Zone-specific endpoint service, the service consumer applications can ensure that they connect to the nearest service provider application in the same Availability Zone, avoiding cross-Availability Zone data transfer charges. References:
* https://docs.aws.amazon.com/elasticloadbalancing/latest/network/load-balancer-target-groups.
html#cross-zone-load-balancing
* https://docs.aws.amazon.com/vpc/latest/userguide/vpce-interface.html#vpce-interface-dns

NEW QUESTION # 121
A solutions architect must provide a secure way for a team of cloud engineers to use the AWS CLI to upload objects into an Amazon S3 bucket Each cloud engineer has an IAM user. IAM access keys and a virtual multi-factor authentication (MFA) device The IAM users for the cloud engineers are in a group that is named S3-access The cloud engineers must use MFA to perform any actions in Amazon S3 Which solution will meet these requirements?

A. Attach a policy to the S3 bucket to prompt the 1AM user for an MFA code when the 1AM user performs actions on the S3 bucket Use 1AM access keys with the AWS CLI to call Amazon S3
B. Attach a policy to the S3-access group to deny all S3 actions unless MFA is present Use 1AM access keys with the AWS CLI to call Amazon S3
C. Update the trust policy for the S3-access group to require principals to use MFA when principals assume the group Use 1AM access keys with the AWS CLI to call Amazon S3
D. Attach a policy to the S3-access group to deny all S3 actions unless MFA is present Request temporary credentials from AWS Security Token Service (AWS STS) Attach the temporary credentials in a profile that Amazon S3 will reference when the user performs actions in Amazon S3

Answer: D

Explanation:
This option meets the requirement by attaching a policy to the S3-access group to deny all S3 actions unless MFA is present. This ensures that the cloud engineers must use their MFA device when performing any actions in Amazon S3. Additionally, it also requests temporary credentials from AWS STS, which are short-lived credentials that are generated on-demand, and attaches them in a profile that Amazon S3 will reference when the user performs actions in Amazon S3, this will provide an extra layer of security and protection against any misuse of the access keys. Reference : https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_request.html You could use AWS CLI with the temporary credentials to call Amazon S3 and perform the necessary actions. Reference: https://aws.amazon.com/cli/

NEW QUESTION # 122
A solutions architect is preparing to deploy a new security tool into several previously unused AWS Regions. The solutions architect will deploy the tool by using an AWS CloudFormation stack set. The stack set's template contains an 1AM role that has a custom name. Upon creation of the stack set. no stack instances are created successfully.
What should the solutions architect do to deploy the stacks successfully?

A. Enable the new Regions in all relevant accounts. Specify the CAPABILITY_NAMED_IAM capability during the creation of the stack set.
B. Use the Service Quotas console to request a quota increase for the number of CloudFormation stacks in each new Region in all relevant accounts. Specify the CAPABILITYJAM capability during the creation of the stack set.
C. Specify the CAPABILITY_NAMED_IAM capability and the SELF_MANAGED permissions model during the creation of the stack set.
D. Specify an administration role ARN and the CAPABILITYJAM capability during the creation of the stack set.

Answer: A

Explanation:
The CAPABILITY_NAMED_IAM capability is required when creating or updating CloudFormation stacks that contain IAM resources with custom names. This capability acknowledges that the template might create IAM resources that have broad permissions or affect other resources in the AWS account. The stack set's template contains an IAM role that has a custom name, so this capability is needed. Enabling the new Regions in all relevant accounts is also necessary to deploy the stack set across multiple Regions and accounts.
Option B is incorrect because the Service Quotas console is used to view and manage the quotas for AWS services, not for CloudFormation stacks. The number of stacks per Region per account is not a service quota that can be increased.
Option C is incorrect because the SELF_MANAGED permissions model is used when the administrator wants to retain full permissions to manage stack sets and stack instances. This model does not affect the creation of the stack set or the requirement for the CAPABILITY_NAMED_IAM capability.
Option D is incorrect because an administration role ARN is optional when creating a stack set. It is used to specify a role that CloudFormation assumes to create stack instances in the target accounts. It does not affect the creation of the stack set or the requirement for the CAPABILITY_NAMED_IAM capability.
Reference:
1: AWS CloudFormation stack sets
2: Acknowledging IAM resources in AWS CloudFormation templates
3: AWS CloudFormation stack set permissions

NEW QUESTION # 123
A company has migrated its forms-processing application to AWS. When users interact with the application, they upload scanned forms as files through a web application. A database stores user metadata and references to files that are stored in Amazon S3. The web application runs on Amazon EC2 instances and an Amazon RDS for PostgreSQL database.
When forms are uploaded, the application sends notifications to a team through Amazon Simple Notification Service (Amazon SNS). A team member then logs in and processes each form. The team member performs data validation on the form and extracts relevant data before entering the information into another system that uses an API.
A solutions architect needs to automate the manual processing of the forms. The solution must provide accurate form extraction, minimize time to market, and minimize long-term operational overhead.
Which solution will meet these requirements?

A. Extend the system with an application tier that uses AWS Step Functions and AWS Lambda. Configure this tier to use Amazon Textract and Amazon Comprehend to perform optical character recognition (OCR) on the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API.
B. Develop custom libraries to perform optical character recognition (OCR) on the forms. Deploy the libraries to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster as an application tier. Use this tier to process the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data into an Amazon DynamoDB table. Submit the data to the target system's API. Host the new application tier on EC2 instances.
C. Host a new application tier on EC2 instances. Use this tier to call endpoints that host artificial intelligence and machine learning (Al/ML) models that are trained and hosted in Amazon SageMaker to perform optical character recognition (OCR) on the forms. Store the output in Amazon ElastiCache. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API.
D. Extend the system with an application tier that uses AWS Step Functions and AWS Lambda. Configure this tier to use artificial intelligence and machine learning (AI/ML) models that are trained and hosted on an EC2 instance to perform optical character recognition (OCR) on the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API.

Answer: A

Explanation:
Extend the system with an application tier that uses AWS Step Functions and AWS Lambda. Configure this tier to use Amazon Textract and Amazon Comprehend to perform optical character recognition (OCR) on the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API. This solution meets the requirements of accurate form extraction, minimal time to market, and minimal long-term operational overhead. Amazon Textract and Amazon Comprehend are fully managed and serverless services that can perform OCR and extract relevant data from the forms, which eliminates the need to develop custom libraries or train and host models. Using AWS Step Functions and Lambda allows for easy automation of the process and the ability to scale as needed.

NEW QUESTION # 124
A company is building a solution in the AWS Cloud. Thousands or devices will connect to the solution and send data. Each device needs to be able to send and receive data in real time over the MQTT protocol. Each device must authenticate by using a unique X.509 certificate.
Which solution will meet these requirements with the LEAST operational overhead?

A. Set up AWS loT Core. For each device, create a corresponding AWS loT thing and provision a certificate. Connect each device to AWS loT Core.
B. Set up an Amazon API Gateway HTTP API and a Network Load Balancer (NLB). Create integration between API Gateway and the NLB. Configure a mutual TLS certificate authorizer on the HTTP API.
Run an MQTT broker on an Amazon EC2 instance that the NLB targets. Connect each device to the NLB.
C. Set up AWS loT Core. For each device, create a corresponding Amazon MQ queue and provision a certificate. Connect each device to Amazon MQ.
D. Create a Network Load Balancer (NLB) and configure it with an AWS Lambda authorizer. Run an MQTT broker on Amazon EC2 instances in an Auto Scaling group. Set the Auto Scaling group as the target for the NLB. Connect each device to the NLB.

Answer: B

Explanation:
Explanation
This solution requires minimal operational overhead, as it only requires setting up AWS IoT Core and creating a thing for each device. (Reference: AWS Certified Solutions Architect - Professional Official Amazon Text Book, Page 537) AWS IoT Core is a fully managed service that enables secure, bi-directional communication between internet-connected devices and the AWS Cloud. It supports the MQTT protocol and includes built-in device authentication and access control. By using AWS IoT Core, the company can easily provision and manage the
X.509 certificates for each device, and connect the devices to the service with minimal operational overhead.

NEW QUESTION # 125
......

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