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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Resilient Architectures26%- Highly available architecture
  • 1. Auto Scaling groups
    • 2. Multi-AZ deployments
      - Fault tolerance and recovery
      • 1. Disaster recovery approaches
        • 2. Backup and restore strategies
          Design Cost-Optimized Architectures20%- Cost-effective resource selection
          • 1. Right-sizing EC2 instances
            • 2. Storage class optimization in S3
              - Cost management tools
              • 1. Budgets and billing alarms
                • 2. AWS Cost Explorer
                  Design High-Performing Architectures24%- Compute and storage optimization
                  • 1. EC2 instance selection
                    • 2. S3 performance features
                      - Performance scaling
                      • 1. Caching with CloudFront and ElastiCache
                        • 2. Load balancing with ELB
                          Design Secure Architectures30%- Secure workloads and applications
                          • 1. Data protection using KMS
                            • 2. Security groups and NACLs
                              - Secure access to AWS resources
                              • 1. Encryption in transit and at rest
                                • 2. AWS STS and temporary credentials
                                  • 3. IAM users, roles, and policies

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                                    Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q780-Q785):

                                    NEW QUESTION # 780
                                    [Design Secure Architectures]
                                    A company is designing a new internal web application in the AWS Cloud. The new application must securely retrieve and store multiple employee usernames and passwords from an AWS managed service. Which solution will meet these requirements with the LEAST operational overhead?

                                    Answer: B

                                    Explanation:
                                    AWSSecrets Manageris the best solution for securely storing and managing sensitive information, such as usernames and passwords. Secrets Manager provides automatic rotation, fine-grained access control, and encryption of credentials. It is designed to integrate easily with other AWS services, such as CloudFormation, to automate the retrieval of secrets via theBatchGetSecretValue API.
                                    Secrets Manager has a lower operational overhead than manually managing credentials, and it offers features like automatic secret rotation that reduce the need for human intervention.
                                    Option A and C (Parameter Store): While Systems Manager Parameter Store can store secrets, Secrets Manager provides more specialized capabilities for securely managing and rotating credentials with less operational overhead.
                                    Option B and C (AWS Batch): Introducing AWS Batch unnecessarily complicates the solution. Secrets Manager already provides simple API calls for retrieving secrets without needing an additional service.
                                    AWS Reference:
                                    AWS Secrets Manager
                                    Secrets Manager with CloudFormation


                                    NEW QUESTION # 781
                                    [Design High-Performing Architectures]
                                    A company uses Amazon EC2 instances and Amazon Elastic Block Store (Amazon EBS) volumes to run an application. The company creates one snapshot of each EBS volume every day.
                                    The company needs to prevent users from accidentally deleting the EBS volume snapshots. The solution must not change the administrative rights of a storage administrator user.
                                    Which solution will meet these requirements with the LEAST administrative effort?

                                    Answer: C

                                    Explanation:
                                    Amazon EBS Snapshots Recycle Bin enables you to specify retention rules for EBS snapshots based on tags. When snapshots are deleted, they are retained in the Recycle Bin for a specified duration, preventing accidental deletion. Tag-level rules allow selective protection without changing IAM roles or user permissions.
                                    Reference:


                                    NEW QUESTION # 782
                                    A company wants to migrate an application to AWS. The application runs on Docker containers behind an Application Load Balancer (ALB). The application stores data in a PostgreSQL database. The cloud-based solution must use AWS WAF to inspect all application traffic. The application experiences most traffic on weekdays. There is significantly less traffic on weekends.
                                    Which solution will meet these requirements in the MOST cost-effective way?

                                    Answer: C

                                    Explanation:
                                    Using an Application Load Balancer (ALB) allows for integration with AWS WAF to inspect all incoming traffic. Running the application on Amazon ECS provides a scalable and managed container orchestration service. Utilizing Amazon Aurora Serverless for the PostgreSQL database offers automatic scaling based on application demand, which is cost-effective for workloads with variable traffic patterns, such as higher traffic on weekdays and lower traffic on weekends.


                                    NEW QUESTION # 783
                                    [Design Secure Architectures]
                                    A company has an application that provides marketing services to stores. The services are based on previous purchases by store customers. The stores upload transaction data to the company through SFTP, and the data is processed and analyzed to generate new marketing offers. Some of the files can exceed 200 GB in size.
                                    Recently, the company discovered that some of the stores have uploaded files that contain personally identifiable information (PII) that should not have been included. The company wants administrators to be alerted if PII is shared again. The company also wants to automate remediation.
                                    What should a solutions architect do to meet these requirements with the LEAST development effort?

                                    Answer: D

                                    Explanation:
                                    To meet the requirements of detecting and alerting the administrators when PII is shared and automating remediation with the least development effort, the best approach would be to use Amazon S3 bucket as a secure transfer point and scan the objects in the bucket with Amazon Macie. Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data stored in Amazon S3. It can be used to classify sensitive data, monitor access to sensitive data, and automate remediation actions.
                                    In this scenario, after uploading the files to the Amazon S3 bucket, the objects can be scanned for PII by Amazon Macie, and if it detects any PII, it can trigger an Amazon Simple Notification Service (SNS) notification to alert the administrators to remove the objects containing PII. This approach requires the least development effort, as Amazon Macie already has pre-built data classification rules that can detect PII in various formats.
                                    Hence, option B is the correct answer.
                                    Reference:
                                    Amazon Macie User Guide:https://docs.aws.amazon.com/macie/latest/userguide/what-is-macie.html AWS Well-Architected Framework - Security Pillar:https://docs.aws.amazon.com/wellarchitected/latest/security-pillar/welcome.html


                                    NEW QUESTION # 784
                                    A company hosts an application on AWS that uses an Amazon S3 bucket and an Amazon Aurora database.
                                    The company wants to implement a multi-Region disaster recovery DR strategy that minimizes potential data loss.
                                    Which solution will meet these requirements?

                                    Answer: B

                                    Explanation:
                                    The best multi-Region DR design isAurora global databasefor the database layer andS3 Cross-Region Replicationfor object storage. AWS documentation states that Aurora global database automatically synchronizes changes from a primary cluster to secondary clusters in other AWS Regions, providing multi- Region resiliency and fast recovery from Region-level outages. AWS also documents thatS3 CRRcopies objects to a destination bucket in another AWS Region, which is the standard way to protect S3 data across Regions. Same-Region options do not satisfy the multi-Region requirement, and the backup-based alternatives are less aligned with minimizing potential data loss than continuous cross-Region replication. Therefore, Aurora global database plus S3 CRRis the correct answer. (AWS Documentation)


                                    NEW QUESTION # 785
                                    ......

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