AWS-Solutions-Associate Zertifikatsdemo, AWS-Solutions-Associate Fragenkatalog

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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Cost-Optimized Architectures16%- Cost monitoring and optimization
  • 1. Storage lifecycle policies (S3)
    • 2. AWS Cost Explorer usage
      - Cost-aware resource selection
      • 1. Right-sizing EC2 instances
        • 2. Reserved Instances vs On-Demand vs Spot
          Topic 2: Design Resilient Architectures30%- Highly available and fault-tolerant architectures
          • 1. Auto Scaling strategies
            • 2. Load balancing (ELB, ALB, NLB)
              • 3. Multi-AZ deployments
                - Decoupling mechanisms
                • 1. SNS for pub/sub notifications
                  • 2. SQS for messaging
                    • 3. Event-driven architectures
                      Topic 3: Design High-Performing Architectures24%- Storage and database performance
                      • 1. EBS, EFS, and S3 performance considerations
                        • 2. RDS vs DynamoDB selection patterns
                          - Compute optimization
                          • 1. Lambda serverless design patterns
                            • 2. EC2 instance selection and scaling
                              Topic 4: Design Secure Architectures30%- Design secure workloads and applications
                              • 1. Data encryption at rest and in transit (KMS, TLS)
                                • 2. Secrets management (AWS Secrets Manager, SSM Parameter Store)
                                  - Design secure access to AWS resources
                                  • 1. IAM users, roles, and policies
                                    • 2. Cross-account access strategies
                                      • 3. Least privilege access design

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                                        Amazon AWS Certified Solutions Architect - Associate (SAA-C03) AWS-Solutions-Associate Prüfungsfragen mit Lösungen (Q460-Q465):

                                        460. Frage
                                        A company's applications run on Amazon EC2 instances in Auto Scaling groups. The company notices that its applications experience sudden traffic increases on random days of the week The company wants to maintain application performance during sudden traffic increases.
                                        Which solution will meet these requirements MOST cost-effectively?

                                        Antwort: D

                                        Begründung:
                                        Dynamic scaling is a type of autoscaling that automatically adjusts the number of EC2 instances in an Auto Scaling group based on demand or load. It uses CloudWatch alarms to trigger scaling actions when a specified metric crosses a threshold. It can scale out (addinstances) or scale in (remove instances) as needed1. By using dynamic scaling, the solution can maintain application performance during sudden traffic increases most cost- effectively.
                                        A). Use manual scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of maintaining application performance during sudden traffic increases, as manual scaling requires users to manually increase or decrease the number of instances through a CLI or console. It does not respond automatically to changes in demand or load2.
                                        B). Use predictive scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of most cost-effectiveness, as predictive scaling uses machine learning and artificial intelligence tools to evaluate traffic loads and anticipate when more or fewer resources are needed. It performs scheduled scaling actions based on the prediction, which may not matchthe actual demand or load at any given time. Predictive scaling is more suitable for scenarios where there are predictable traffic patterns or known changes in traffic loads3.
                                        D). Use schedule scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of maintaining application performance during sudden traffic increases, as schedule scaling performs scaling actions at specific times that users schedule. It does not respond automatically to changes in demand or load. Schedule scaling is more suitable for scenarios where there are predictable traffic drops or spikes at specific times of the day.
                                        Reference URL: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scale-based-on-demand.html


                                        461. Frage
                                        A company has an ecommerce application running in a single VPC. The application stack has a single web server and an Amazon RDS Multi-AZ DB instance.
                                        The company launches new products twice a month. This increases website traffic by approximately 400% for a minimum of 72 hours. During product launches, users experience slow response times and frequent timeout errors in their browsers.
                                        What should a solutions architect do to mitigate the slow response times and timeout errors while minimizing operational overhead?

                                        Antwort: A


                                        462. Frage
                                        What does Amazon ElastiCache provide?

                                        Antwort: A


                                        463. Frage
                                        A company has an On-premises volume backup solution that has reached its end of life. The company wants to use AWS as part of a new backup solution and wants to maintain local access to all the data while it is backed up on AWS. The company wants to ensure that the data backed up on AWS is automatically and securely transferred.
                                        Which solution meets these requirements?

                                        Antwort: C

                                        Begründung:
                                        This option is the most efficient because it uses AWS Storage Gateway, which is a service that connects an on-premises software appliance with cloud-based storage to provide seamless integration with data security features between your on-premises IT environment and the AWS storage infrastructure1. It also uses a stored volume gateway, which is a type of volume gateway that stores your primary data locally and asynchronously backs up point-in-time snapshots of your data to Amazon S32. It also runs the Storage Gateway software application on premises and maps the gateway storage volumes to on-premises storage, which enables you to use your existing storage hardware and network infrastructure. It also mounts the gateway storage volumes to provide local access to the data, which ensures that your data is available for low latency access on premises while also getting backed up to AWS. This solution meets the requirement of maintaining local access to all the data while it is backed up on AWS and ensuring that the data backed up on AWS is automatically and securely transferred. Option A is less efficient because it uses AWS Snowball, which is a physical device that lets you transfer large amounts of data into and out of AWS3. However, this does not provide a periodic backup solution, as it requires manual handling and shipping of the device. It also configures on-premises systems to mount the Snowball S3 endpoint to provide local access to the data, which could introduce additional complexity and latency. Option B is less efficient because it uses AWS Snowball Edge, which is a physical device that has onboard storage and compute capabilities for select AWS capabilities. However, this does not provide a periodic backup solution, as it requires manual handling and shipping of the device. It also uses the Snowball Edge file interface to provide on-premises systems with local access to the data, which could introduce additional complexity and latency. Option C is less efficient because it uses AWS Storage Gateway and configures a cached volume gateway, which is a type of volume gateway that stores your primary data in Amazon S3 and retains a copy of frequently accessed data subsets locally. However, this does not provide local access to all the data, as only some data subsets are cached locally. It also configures a percentage of data to cache locally, which could incur higher costs and complexity than using a stored volume gateway.


                                        464. Frage
                                        A company has an application hosted on Amazon EC2 instances in two VPCs across different AWS Regions To communicate with each other, the instances use the internet for connectivity. The security team wants to ensure that no communication between the instances happens over the internet What should a solutions architect do to accomplish this''

                                        Antwort: A


                                        465. Frage
                                        ......

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