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| Section | Weight | Objectives |
|---|
| Topic 1: Continuous Improvement for Existing Solutions | 23% | - Modernization strategies
- 1. Containerization
- 2. Re-architecting monolithic applications
- 3. Serverless transformation
- Operational excellence improvements
- 1. CI/CD pipelines
- 2. Monitoring and logging (CloudWatch)
- 3. Infrastructure as Code (CloudFormation, Terraform)
- Security hardening
- 1. Encryption strategies
- 2. Identity and access management
- 3. Security monitoring
- Performance optimization
- 1. Caching strategies (CloudFront, ElastiCache)
- 2. CDN implementation
- 3. Database optimization
- Reviewing existing architectures
- 1. Operational excellence pillar
- 2. Security pillar
- 3. Performance efficiency pillar
- 4. Cost optimization pillar
- 5. Reliability pillar
- 6. AWS Well-Architected Framework
|
| Topic 2: Migration Planning | 15% | - Data migration considerations
- 1. Snow family devices
- 2. Large-scale data transfer
- Migration strategies
- 1. Hybrid migration
- 2. Refactoring
- 3. Rehosting (lift-and-shift)
- 4. Replatforming
- 5. Repurchasing
- Validation and testing post-migration - Migration tools and services
- 1. AWS DataSync
- 2. AWS Migration Hub
- 3. AWS Application Migration Service
- 4. AWS Transfer Family
- 5. AWS Server Migration Service
|
| Topic 3: Design for New Solutions | 31% | - Database migration
- 1. Schema Conversion Tool (SCT)
- 2. Database types and selection
- 3. AWS DMS (Database Migration Service)
- Cost optimization at design phase
- 1. Spot instances
- 2. Reserved Instances and Savings Plans
- 3. Right-sizing resources
- Microservices patterns
- 1. Serverless architectures (Lambda)
- 2. Containers and ECS/EKS
- 3. Event-driven architecture
- Multi-tier architecture
- 1. Application tier
- 2. Web tier design
- 3. Data tier considerations
- Network design
- 1. Security groups and NACLs
- 2. Network segmentation
- 3. Subnet planning
- 4. VPC architecture
- High availability and fault tolerance
- 1. Multi-AZ deployments
- 2. Disaster recovery strategies
- 3. Backup and restore
- Cloud Adoption Readiness
- 1. Migration strategy assessment
- 2. 6 Rs of migration
|
| Topic 4: Cost Control | 18.5% | - Cost optimization strategies
- 1. AWS Cost Explorer
- 2. Cost categories
- 3. AWS Budgets
- 4. Cost allocation tags
- Rightsizing recommendations - Resource efficiency
- 1. Auto Scaling
- 2. Managed services
- 3. Serverless optimization
- Monitoring and controlling costs
- 1. Anomaly detection
- 2. Budget alerts
- Reserved capacity planning
- 1. Reserved Instances
- 2. Savings Plans
- 3. Capacity Reservations
|
| Topic 5: Design for Organizational Complexity | 12.5% | - Cross-account strategies and AWS organizations
- 1. Service Control Policies (SCPs)
- 2. Organizational Units (OUs)
- 3. AWS Control Tower
- Networks
- 1. AWS Direct Connect
- 2. VPN connections
- 3. Hybrid DNS architecture
- 4. AWS Transit Gateway
- Multi-account AWS environments
|
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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q179-Q184):
NEW QUESTION # 179
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 Reference 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. 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
Explanation:
Developing custom libraries and deploying them to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster as an application tier allows the OCR processing to be done in real-time when forms are uploaded, and allows for more accurate form extraction. The use of Kubernetes allows for easy scaling and management of the application tier, minimizing long-term operational overhead. Storing the output in Amazon S3 and parsing the data into an Amazon DynamoDB table allows for easy access and querying of the data, minimizing time to market.
Reference:
Amazon Elastic Kubernetes Service (EKS): https://aws.amazon.com/eks/
Amazon DynamoDB: https://aws.amazon.com/dynamodb/
Optical Character Recognition (OCR): https://en.wikipedia.org/wiki/Optical_character_recognition
NEW QUESTION # 180
A company has an IOT platform that runs in an on-premises environment. The platform consists of a server that connects to IOT devices by using the MQTT protocol. The platform collects telemetry data from the devices at least once every 5 minutes. The platform also stores device metadata in a MongoDB cluster.
An application that is installed on an on-premises machine runs periodic jobs to aggregate and transform the telemetry and device metadata. The application creates reports that users view by using another web application that runs on the same on-premises machine. The periodic jobs take 120-600 seconds to run.
However, the web application is always running.
The company is moving the platform to AWS and must reduce the operational overhead of the stack.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Select THREE.)
- A. Use AWS Lambda functions to connect to the IOT devices.
- B. Use an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 instances to prepare the reports. Use an ingress controller in the EKS cluster to serve the reports.
- C. Configure the IOT devices to publish to AWS IOT Core.
- D. Write the metadata to a self-managed MongoDB database on an Amazon EC2 instance.
- E. Write the metadata to Amazon DocumentDB (with MongoDB compatibility).
- F. Use AWS Step Functions state machines with AWS Lambda tasks to prepare the reports and to write the reports to Amazon S3. Use Amazon CloudFront with an S3 origin to serve the reports.
Answer: C,E,F
Explanation:
Explanation
*B. Configure the IOT devices to publish to AWS IOT Core. This will enable you to connect your devices to AWS services and other devices without managing infrastructure1.
*D. Write the metadata to Amazon DocumentDB (with MongoDB compatibility). This will allow you to use a fully managed document database service that is compatible with your existing MongoDB applications and tools1.
*E. Use AWS Step Functions state machines with AWS Lambda tasks to prepare the reports and to write the reports to Amazon S3. Use Amazon CloudFront with an S3 origin to serve the reports. This will enable you to orchestrate serverless workflows that run code without provisioning or managing servers2, and deliver the reports with low latency and high performance1.
NEW QUESTION # 181
A company is creating a sequel for a popular online game. A large number of users from all over the world will play the game within the first week after launch. Currently, the game consists of the following components deployed in a single AWS Region:
* Amazon S3 bucket that stores game assets
* Amazon DynamoDB table that stores player scores
A solutions architect needs to design a multi-Region solution that will reduce latency improve reliability, and require the least effort to implement What should the solutions architect do to meet these requirements?
- A. Create an Amazon CloudFront distribution to serve assets from the S3 bucket. Configure S3 Same-Region Replication. Create a new DynamoDB able m a new Region. Configure asynchronous replication between the DynamoDB tables by using AWS Database Migration Service (AWS DMS) with change data capture (CDC)
- B. Create another S3 bucket in a new Region and configure S3 Cross-Region Replication between the buckets Create an Amazon CloudFront distribution and configure origin failover with two origins accessing the S3 buckets in each Region. Configure DynamoDB global tables by enabling Amazon DynamoDB Streams, and add a replica table in a new Region.
- C. Create an Amazon CloudFront distribution to serve assets from the S3 bucket Configure S3 Cross-Region Replication Create a new DynamoDB able in a new Region Use the new table as a replica target tor DynamoDB global tables.
- D. Create another S3 bucket in the same Region, and configure S3 Same-Region Replication between the buckets- Create an Amazon CloudFront distribution and configure origin failover with two origin accessing the S3 buckets Create a new DynamoDB table m a new Region Use the new table as a replica target for DynamoDB global tables.
Answer: B
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/dynamodb-global-table-stream-lambda/?nc1=h_ls
NEW QUESTION # 182
A company has a Windows-based desktop application that is packaged and deployed to the users' Windows machines. The company recently acquired another company that has employees who primarily use machines with a Linux operating system. The acquiring company has decided to migrate and rehost the Windows-based desktop application lo AWS.
All employees must be authenticated before they use the application. The acquiring company uses Active Directory on premises but wants a simplified way to manage access to the application on AWS (or all the employees.
Which solution will rehost the application on AWS with the LEAST development effort?
- A. Create an Auto Scarlet group of Windows-based Ama7on EC2 instances. Join each EC2 instance to the company's Active Directory domain. Implement authentication by using the Active Directory That is running on premises. Instruct employees to run the application by using a Windows remote desktop.
- B. Set up and provision an Amazon Workspaces virtual desktop for every employee. Implement authentication by using Amazon Cognito identity pools. Instruct employees to run the application from their provisioned Workspaces virtual desktops.
- C. Use an Amazon AppStream 2.0 image builder to create an image that includes the application and the required configurations. Provision an AppStream 2.0 On-Demand fleet with dynamic Fleet Auto Scaling process for running the image. Implement authentication by using AppStream 2.0 user pools.
Instruct the employees to access the application by starling browse'-based AppStream 2.0 streaming sessions. - D. Refactor and containerize the application to run as a web-based application. Run the application in Amazon Elastic Container Service (Amazon ECS) on AWS Fargate with step scaling policies Implement authentication by using Amazon Cognito user pools. Instruct the employees to run the application from their browsers.
Answer: C
Explanation:
Amazon AppStream 2.0 offers a streamlined solution for rehosting a Windows-based desktop application on AWS with minimal development effort. By creating an AppStream 2.0 image that includes the application and using an On-Demand fleet for streaming, the application becomes accessible from any device, including Linux machines. AppStream 2.0 user pools can be used for authentication, simplifying access management without the need for extensive changes to the application or infrastructure.
AWS Documentation on Amazon AppStream 2.0 provides insights into setting up application streaming solutions. This approach is recommended for delivering desktop applications to diverse operating systems without the complexity of managing virtual desktops or extensive application refactoring.
NEW QUESTION # 183
A solutions architect is determining the DNS strategy for an existing VPC. The VPC is provisioned to use the 10.24.34.0/24 CIDR block. The VPC also uses Amazon Route 53 Resolver for DNS.
New requirements mandate that DNS queries must use private hosted zones. Additionally instances that have public IP addresses must receive corresponding public hostnames Which solution will meet these requirements to ensure that the domain names are correctly resolved within the VPC?
- A. Create a private hosted zone. Associate the private hosted zone with the VPC. Activate the enableDnsSupport attribute for the VPC. Deactivate the enableDnsHostnames attribute for the VPC. Update the VPC DHCP options set to include domain-name-servers=AmazonProvidedDNS.
- B. Create a private hosted zone. Activate the enableDnsSupport attribute and the enableDnsHostnames attribute for the VPC. Update the VPC DHCP options set to include domain-name-servers=10.24.34.2.
- C. Create a private hosted zone Associate the private hosted zone with the VPC. Activate the enableDnsSupport attribute and the enableDnsHostnames attribute for the VPC. Create a new VPC DHCP options set, and configure domain-name-servers=AmazonProvidedDNS. Associate the new DHCP options set with the VPC.
- D. Deactivate the enableDnsSupport attribute for the VPActivate the enableDnsHostnames attribute for the VPCreate a new VPC DHCP options set, and configure doman-name-servers=10.24.34.2.
Associate the new DHCP options set with the VPC.
Answer: C
Explanation:
Both settings need to be enabled to allow assigning of public DNS names and use of Amazon DNS.
https://docs.aws.amazon.com/vpc/latest/userguide/vpc-dns.html#AmazonDNS
NEW QUESTION # 184
......
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