SAP-C02 Ausbildungsressourcen, SAP-C02 Prüfungsvorbereitung

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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) SAP-C02 Prüfungsfragen mit Lösungen (Q243-Q248):

243. Frage
A multimedia company needs to deliver its video-on-demand (VOD) content to its subscribers in a cost-effective way. The video files range in size from 1-15 GB and are typically viewed frequently for the first 6 months alter creation, and then access decreases considerably. The company requires all video files to remain immediately available for subscribers. There are now roughly 30.000 files, and the company anticipates doubling that number over time.
What is the MOST cost-effective solution for delivering the company's VOD content?

A. Use AWS Elemental MediaConvert and store the adaptive bitrate video files in Amazon S3. Configure an AWS Elemental MediaPackage endpoint to deliver the content from Amazon S3.
B. Store the video files in Amazon Elastic File System (Amazon EFS) Standard. Enable EFS lifecycle management to move the video files to EFS Infrequent Access after 6 months. Create an Amazon EC2 Auto Scaling group behind an Elastic Load Balancer to deliver the content from Amazon EFS.
C. Store the video files in Amazon S3 Standard. Create S3 Lifecycle rules to move the video files to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months and to S3 Glacier Deep Archive after 1 year. Use Amazon CloudFront to deliver the content with the S3 bucket as the origin.
D. Store the video files in an Amazon S3 bucket using S3 Intelligent-Tiering. Use Amazon CloudFront to deliver the content with the S3 bucket as the origin.

Antwort: D

Begründung:
https://d1.awsstatic.com/whitepapers/amazon-cloudfront-for-media.pdf
https://aws.amazon.com/solutions/implementations/video-on-demand-on-aws/

244. Frage
A company hosts a web application that tuns on a group of Amazon EC2 instances that ate behind an Application Load Balancer (ALB) in a VPC. The company wants to analyze the network payloads lo reverse-engineer a sophisticated attack of the application.
Which approach should the company take to achieve this goal?

A. Enable logging for the ALB. Store the logs in an Amazon S3 bucket for analysis.
B. Enable VPC Flow Logs. Store the flow logs in an Amazon S3 bucket for analysis.
C. Create an AWS WAF web ACL. and associate it with the ALB. Configure AWS WAF logging.
D. Enable Traffic Mirroring on the network interface of the EC2 instances. Send the mirrored traffic lo a target for storage and analysis.

Antwort: B

245. Frage
A company runs a popular web application in an on-premises data center. The application receives four million views weekly. The company expects traffic to increase by 200% because of an advertisement that will be published soon.
The company needs to decrease the load on the origin before the increase of traffic occurs. The company does not have enough time to move the entire application to the AWS Cloud.
Which solution will meet these requirements?

A. Create an accelerator in AWS Global Accelerator.
Add listeners for http and httpS TCP ports.
Create an endpoint group.
Create an Application Load Balancer (ALB), and attach it to the endpoint group.
Point the ALB to the on-premises servers.
Offload the DNS querying to AWS to handle AWS Global Accelerator traffic.
B. Create an Amazon CloudFront content delivery network (CDN).
Enable query forwarding to the origin.
Create a managed cache policy that includes query strings.
Use an on-premises load balancer as the origin.
Offload the DNS querying to AWS to handle CloudFront CDN traffic.
C. Create an Amazon CloudFront content delivery network (CDN) that uses a Real Time Messaging Protocol (RTMP) distribution.
Enable query forwarding to the origin. Use an on-premises load balancer as the origin.
Offload the DNS querying to AWS to handle CloudFront CDN traffic.
D. Create an accelerator in AWS Global Accelerator.
Add listeners for http and httpS TCP ports.
Create an endpoint group. Create a Network Load Balancer (NLB), and attach it to the endpoint group.
Point the NLB to the on-premises servers.
Offload the DNS querying to AWS to handle AWS Global Accelerator traffic.

Antwort: B

Begründung:
The core requirement is to decrease the load on the origin (the on-premises servers) rapidly.
Caching is Key: Amazon CloudFront is a Content Delivery Network (CDN) that stores copies of your website's content at edge locations around the world. When users request data, CloudFront serves it from the cache. This prevents the request from ever reaching your on-premises data center, which is the only way to significantly "decrease the load" on your existing hardware.
Query String Support: By using a managed cache policy that includes query strings, you ensure that the application functions correctly if it relies on those parameters to serve content, while still benefiting from CloudFront's caching layers.
Speed of Deployment: You can point CloudFront to an on-premises load balancer as a "Custom Origin" without needing to migrate your code or database to AWS, meeting the tight deadline.

246. Frage
A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day Which solution meets these requirements?

A. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data
B. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data
C. Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data
D. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data

Antwort: C

Begründung:
AWS DataSync can be used to transfer the sequencing data to Amazon S3, which is a more efficient and faster method than using Snowball Edge devices. Once the data is in S3, S3 events can trigger an AWS Lambda function that starts an AWS Step Functions workflow. The Docker images can be stored in Amazon Elastic Container Registry (Amazon ECR) and AWS Batch can be used to run the container and process the sequencing data.

247. Frage
A company has recently migrated an application to a set of Amazon EC2 instances. A partner company's application calls the application by using a domain named api.example.com or a URL.
The partner company authenticates by using mutual TLS. The company wants to modernize the application.
The company containerizes the application and stores the containers in an Amazon ECR repository. The company places a certificate authority (CA) bundle in an Amazon S3 bucket. The modernized application must retain support for mutual TLS authentication and must be able to scale on demand.
Which solution will meet these requirements?

A. Create an AWS AppSync API. Assign the api.example.com domain name to the AppSync API.
Configure mutual TLS that uses the S3 bucket path. Run the containers on AWS Lambda functions. Set the Lambda functions as target for the AppSync API.
B. Create an Amazon API Gateway HTTP API. Assign the api.example.com domain name to the HTTP API. Configure mutual TLS that uses the S3 bucket path. Create a new Amazon ECS cluster, and run the containers on AWS Fargate. Set the Fargate services as targets for the HTTP API.
C. Create an Application Load Balancer (ALB) and a new listener. Create a new Amazon ECS cluster. Run the containers on AWS Fargate. Create a new trust store and set a path to the S3 bucket. Attach the trust store to the ALB listener. Set the Fargate services as targets for the ALB.
D. Create an Amazon CloudFront distribution. Implement a CloudFront function to perform mutual TLS by using the CA bundle from the S3 bucket. Run the containers on AWS Lambda functions.
Set the Lambda functions as origins for the Cloud Front distribution.

Antwort: B

Begründung:
Amazon API Gateway HTTP APIs support mutual TLS authentication using a CA bundle stored in S3. Deploying the modernized application on ECS with Fargate allows the containers to scale on demand without managing servers. API Gateway can route requests to the Fargate services while retaining support for the partner company's mutual TLS authentication.

248. Frage
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