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The web-based Amazon SAA-C03 Practice Exam is compatible with all operating systems, including Mac, Linux, iOS, Android, and Windows. It is a browser-based AWS Certified Solutions Architect - Associate (SAA-C03) practice exam that works on all major browsers, including Chrome, Firefox, Safari, Internet Explorer, and Opera. This means that you won't have to worry about installing any complicated software or plug-ins.

Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Secure Architectures30%- Secure workloads and applications
  • 1. Data protection using KMS
    • 2. Security groups and NACLs
      - Secure access to AWS resources
      • 1. IAM users, roles, and policies
        • 2. Encryption in transit and at rest
          • 3. AWS STS and temporary credentials
            Topic 2: Design Resilient Architectures26%- Fault tolerance and recovery
            • 1. Disaster recovery approaches
              • 2. Backup and restore strategies
                - Highly available architecture
                • 1. Auto Scaling groups
                  • 2. Multi-AZ deployments
                    Topic 3: 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
                            Topic 4: Design Cost-Optimized Architectures20%- Cost-effective resource selection
                            • 1. Right-sizing EC2 instances
                              • 2. Storage class optimization in S3
                                - Cost management tools
                                • 1. AWS Cost Explorer
                                  • 2. Budgets and billing alarms

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                                    Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q157-Q162):

                                    NEW QUESTION # 157
                                    A company has 150 TB of archived image data stored on-premises that needs to be moved to the AWS Cloud within the next month. The company's current network connection allows up to 100 Mbps uploads for this purpose during the night only.
                                    What is the MOST cost-effective mechanism to move this data and meet the migration deadline?

                                    Answer: D

                                    Explanation:
                                    AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS Cloud. Snowball addresses common challenges with large-scale data transfers including high network costs, long transfer times, and security concerns. AWS Snowball can transfer up to 80 TB of data per device, and multiple devices can be used in parallel to meet the migration deadline. AWS Snowball is more cost-effective than AWS Snowmobile, which is designed for exabyte-scale data transfers, or Amazon S3 Transfer Acceleration, which is optimized for fast transfers over long distances. Amazon S3 VPC endpoint does not increase the upload speed, but only provides a secure and private connection between the VPC and S3. Reference: AWS Snowball, AWS Snowmobile, Amazon S3 Transfer Acceleration, Amazon S3 VPC endpoint


                                    NEW QUESTION # 158
                                    A company is developing a new application that uses a relational database to store user data and application configurations. The company expects the application to have steady user growth. The company expects the database usage to be variable and read-heavy, with occasional writes.
                                    The company wants to cost-optimize the database solution. The company wants to use an AWS managed database solution that will provide the necessary performance.
                                    Which solution will meet these requirements MOST cost-effectively?

                                    Answer: D

                                    Explanation:
                                    Amazon Aurora Serverless is a cost-effective, on-demand, autoscaling configuration for Amazon Aurora. It automatically adjusts the database's capacity based on the current demand, which is ideal for workloads with variable and unpredictable usage patterns. Since the application is expected to be read-heavy with occasional writes and steady growth, Aurora Serverless can provide the necessary performance without requiring the management of database instances.
                                    * Cost-Optimization: Aurora Serverless only charges for the database capacity you use, making it a more cost-effective solution compared to always running provisioned database instances, especially for workloads with fluctuating demand.
                                    * Scalability: It automatically scales database capacity up or down based on actual usage, ensuring that you always have the right amount of resources available.
                                    * Performance: Aurora Serverless is built on the same underlying storage as Amazon Aurora, providing high performance and availability.
                                    * Why Not Other Options?:
                                    * Option A (RDS with Provisioned IOPS SSD): While Provisioned IOPS SSD ensures consistent performance, it is generally more expensive and less flexible compared to the autoscaling nature of Aurora Serverless.
                                    * Option C (DynamoDB with On-Demand Capacity): DynamoDB is a NoSQL database and may not be the best fit for applications requiring relational database features.
                                    * Option D (RDS with Magnetic Storage and Read Replicas): Magnetic storage is outdated and generally slower. While read replicas help with read-heavy workloads, the overall performance might not be optimal, and magnetic storage doesn't provide the necessary performance.
                                    AWS References:
                                    * Amazon Aurora Serverless - Information on how Aurora Serverless works and its use cases.
                                    * Amazon Aurora Pricing - Details on the cost-effectiveness of Aurora Serverless.


                                    NEW QUESTION # 159
                                    A company has an application that is backed ny an Amazon DynamoDB table. The company's compliance requirements specify that database backups must be taken every month, must be available for 6 months, and must be retained for 7 years.
                                    Which solution will meet these requirements?

                                    Answer: C

                                    Explanation:
                                    This solution satisfies the requirements in the following ways:
                                    * AWS Backup will automatically take full backups of the DynamoDB table on the schedule defined in the backup plan (the first of each month).
                                    * The lifecycle policy can transition backups to cold storage after 6 months, meeting that requirement.
                                    * Setting a 7-year retention period in the backup plan will ensure each backup is retained for 7 years as required.
                                    * AWS Backup manages the backup jobs and lifecycle policies, requiring no custom scripting or management.


                                    NEW QUESTION # 160
                                    An image hosting company uploads its large assets to Amazon S3 Standard buckets The company uses multipart upload in parallel by using S3 APIs and overwrites if the same object is uploaded again. For the first
                                    30 days after upload, the objects will be accessed frequently. The objects will be used less frequently after 30 days, but the access patterns for each object will be inconsistent The company must optimize its S3 storage costs while maintaining high availability and resiliency of stored assets.
                                    Which combination of actions should a solutions architect recommend to meet these requirements? (Select TWO.)

                                    Answer: A,D

                                    Explanation:
                                    Explanation
                                    S3 Intelligent-Tiering is a storage class that automatically moves data to the most cost-effective access tier based on access frequency, without performance impact, retrieval fees, or operational overhead1. It is ideal for data with unknown or changing access patterns, such as the company's assets. By moving assets to S3 Intelligent-Tiering after 30 days, the company can optimize its storage costs while maintaining high availability and resilience of stored assets.
                                    S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle2. You can create lifecycle rules to define actions that Amazon S3 applies to a group of objects. One of the actions is to abort incomplete multipart uploads that can occur when an upload is interrupted. By configuring an S3 Lifecycle policy to clean up incomplete multipart uploads, the company can reduce its storage costs and avoid paying for parts that are not used.
                                    Option C is incorrect because expired object delete markers are automatically deleted by Amazon S3 and do not incur any storage costs3. Therefore, configuring an S3 Lifecycle policy to clean up expired object delete markers will not have any effect on the company's storage costs.
                                    Option D is incorrect because S3 Standard-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard, but it has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 Standard-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally.
                                    Option E is incorrect because S3 One Zone-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard-IA, but it stores data in only one Availability Zone and has less resilience than other storage classes. It also has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 One Zone-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally or require high availability. Reference URL: 1:
                                    https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html 2:
                                    https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html 3:
                                    https://docs.aws.amazon.com/AmazonS3/latest/userguide/delete-or-empty-bucket.html#delete-bucket-considerat: https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html :
                                    https://aws.amazon.com/certification/certified-solutions-architect-associate/


                                    NEW QUESTION # 161
                                    [Design Resilient Architectures]
                                    A company hosts a database that runs on an Amazon RDS instance that is deployed to multiple Availability Zones. The company periodically runs a script against the database to report new entries that are added to the database. The script that runs against the database negatively affects the performance of a critical application. The company needs to improve application performance with minimal costs.
                                    Which solution will meet these requirements with the LEAST operational overhead?

                                    Answer: B

                                    Explanation:
                                    A read replica is a copy of the primary database that supports read-only queries. By creating a read replica, you can offload the read workload from the primary database and improve its performance. The script can query the read replica without affecting the critical application that uses the primary database. This solution also has the least operational overhead, as you do not need to modify the script, export the data manually, or manage a cache cluster. Reference:
                                    Working with PostgreSQL, MySQL, and MariaDB Read Replicas
                                    Amazon RDS Performance Insights


                                    NEW QUESTION # 162
                                    ......

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