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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q17-Q22):

NEW QUESTION # 17
A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events. The database is unable to scale due to heavy ingestion and it frequently runs out of storage.
The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:
* Managed AWS services to minimize operational complexity
* A buffer that automatically scales to match the throughput of data and requires no on-going administration.
* A visualization toot to create dashboards to observe events in near-real time.
* Support for semi -structured JSON data and dynamic schemas.
Which combination of components will enabled company to create a monitoring solution that will satisfy these requirements'' (Select TWO.)

A. Configure an Amazon Neptune 0 DB instance to receive events Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards
B. Configure an Amazon Aurora PostgreSQL DB cluster to receive events Use Amazon Quick Sight to read from the database and create near-real-time visualizations and dashboards
C. Configure Amazon Elasticsearch Service (Amazon ES) to receive events Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.
D. Create an Amazon Kinesis data stream to buffer events Create an AWS Lambda function to process and transform evens
E. Use Amazon Kinesis Data Firehose to buffer events Create an AWS Lambda function 10 process and transform events

Answer: A,C

NEW QUESTION # 18
A company has an organization in AWS Organizations. The organization consists of a large number of AWS accounts that belong to separate business units. The company requires all Amazon EC2 instances to be provisioned with custom, hardened AMIs. The company wants a solution that provides each AWS account access to the AMIs Which solution will meet these requirements with the MOST operational efficiency?

A. Create and share the AMIs with EC2 Image Builder Use AWS Service Catalog to configure a product that provides access to the AMIs across all AWS accounts.
B. Deploy Jenkins on an EC2 instance Create jobs to create and share the AMIs across all AWS accounts.
C. Create the AMIs with EC2 Image Builder Create an AWS CodePipeline pipeline to share the AMIs across all AWS accounts.
D. Create the AMIs with EC2 Image Builder Create an AWS Lambda function to share the AMIs across all AWS accounts.

Answer: A

Explanation:
https://docs.aws.amazon.com/servicecatalog/latest/adminguide/introduction.html
https://docs.aws.amazon.com/iot/latest/developerguide/kinesis-rule-action.html

NEW QUESTION # 19
A company is hosting a three-tier web application in an on-premises environment. Due to a recent surge in traffic that resulted in downtime and a significant financial impact, company management has ordered that the application be moved to AWS. The application is written in .NET and has a dependency on a MySQL database A solutions architect must design a scalable and highly available solution to meet the demand of 200000 daily users.
Which steps should the solutions architect take to design an appropriate solution?

A. Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon ECS cluster of Spot Instances spanning three Availability Zones The stack should launch an Amazon RDS MySQL DB instance with a Snapshot deletion policy Use an Amazon Route 53 alias record to route traffic from the company's domain to the ALB
B. Use AWS Elastic Beanstalk to create a new application with a web server environment and an Amazon RDS MySQL Multi-AZ DB instance The environment should launch a Network Load Balancer (NLB) in front of an Amazon EC2 Auto Scaling group in multiple Availability Zones Use an Amazon Route 53 alias record to route traffic from the company's domain to the NLB.
C. Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon EC2 Auto Scaling group spanning three Availability Zones. The stack should launch a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a Retain deletion policy. Use an Amazon Route 53 alias record to route traffic from the company's domain to the ALB
D. Use AWS Elastic Beanstalk to create an automatically scaling web server environment that spans two separate Regions with an Application Load Balancer (ALB) in each Region. Create a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a cross-Region read replica Use Amazon Route 53 with a geoproximity routing policy to route traffic between the two Regions.

Answer: D

Explanation:
Using AWS CloudFormation to launch a stack with an Application Load Balancer (ALB) in front of an Amazon EC2 Auto Scaling group spanning three Availability Zones, a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a Retain deletion policy, and an Amazon Route 53 alias record to route traffic from the company's domain to the ALB will ensure that

NEW QUESTION # 20
A company runs a content management application on a single Windows Amazon EC2 instance in a development environment. The application reads and writes static content to a 2 TB Amazon Elastic Block Store (Amazon EBS) volume that is attached to the instance as the root device. The company plans to deploy this application in production as a highly available and fault-tolerant solution that runs on at least three EC2 instances across multiple Availability Zones.
A solutions architect must design a solution that joins all the instances that run the application to an Active Directory domain. The solution also must implement Windows ACLs to control access to file contents. The application always must maintain exactly the same content on all running instances at any given point in time.
Which solution will meet these requirements with the LEAST management overhead?

A. Create an Amazon FSx for Windows File Server file system. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Implement a user data script to install the application and mount the FSx for Windows File Server file system. Perform a seamless domain join to join the instance to the AD domain.
B. Create a new AMI from the current EC2 instance that is running. Create an Amazon Elastic File System (Amazon EFS) file system. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Perform a seamless domain join to join the instance to the AD domain.
C. Create a new AMI from the current EC2 instance that is running. Create an Amazon FSx for Lustre file system. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Implement a user data script to join the instance to the AD domain and mount the FSx for Lustre file system.
D. Create an Amazon Elastic File System (Amazon EFS) file share. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Implement a user data script to install the application, join the instance to the AD domain, and mount the EFS file share.

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/fsx/latest/WindowsGuide/what-is.html
https://docs.aws.amazon.com/directoryservice/latest/admin-guide/ms_ad_join_instance.html

NEW QUESTION # 21
A company runs an application on AWS. The company curates data from several different sources. The company uses proprietary algorithms to perform data transformations and aggregations. After the company performs ETL processes, the company stores the results in Amazon Redshift tables. The company sells this data to other companies. The company downloads the data as files from the Amazon Redshift tables and transmits the files to several data customers by using FTP. The number of data customers has grown significantly.
Management of the data customers has become difficult. The company will use AWS Data Exchange to create a data product that the company can use to share data with customers. The company wants to confirm the identities of the customers before the company shares data. The customers also need access to the most recent data when the company publishes the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure subscription verification. Require the data customers to subscribe to the data product.Publish the Amazon Redshift data to an Open Data on AWS Data Exchange. Require the customers to subscribe to the data product in AWS Data Exchange. In the AWS account of the company that produces the data, attach IAM resource-based policies to the Amazon Redshift tables to allow access only to verified AWS accounts.
B. Use AWS Data Exchange for APIs to share data with customers. Configure subscription verification. In the AWS account of the company that produces the data, create an Amazon API Gateway Data API service integration with Amazon Redshift. Require the data customers to subscribe to the data product. In the AWS account of the company that produces the data, create an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift.
C. Download the data from the Amazon Redshift tables to an Amazon S3 bucket periodically. Use AWS Data Exchange for S3 to share data with customers.
D. Configure subscription verification. Require the data customers to subscribe to the data product.

Answer: D

Explanation:
The company wants to confirm the identities of the customers before the company shares data.
The customers also need access to the most recent data when the company publishes the data.
With B, customer can get data from Redshift directly with no time lag and additional operations.

NEW QUESTION # 22
......

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