Free AWS Certified Solutions Architect Associate SAA-C03 Practice Test

Amazon S3 Glacier and Amazon S3 Glacier Deep Archive are designed for data archiving and long-term backup at very low costs. Among the available storage classes, S3 Glacier Deep Archive provides the lowest cost option that meets the requirement of retaining data for long periods without frequent access. It is suitable for archiving data that may be retrieved once or twice a year.

The correct service for this scenario is designed for high-speed online data transfer and supports both internet and dedicated network connections like Direct Connect for data migration. It automates the synchronization of data between on-premises storage and cloud storage, making it particularly useful for moving large datasets into cloud services. The Transfer Family service, while it provides secure file transfers into and out of cloud storage, is not particularly optimized for on-premises data migration. The Glue service is primarily an ETL service for data transformation, not data transfer. Finally, the service for streaming focuses on processing and analyzing streaming data in real time and is not the standard choice for batch data migration tasks.

Using the selected service, enterprises can manage multiple environments by setting up a well-architected baseline, automating the provisioning of new environments, and uniformly applying policy controls across all environments for security and compliance. While the other options provide specific security features or advisory services, they do not offer the comprehensive solution needed for centralized governance and automated environment setup.

AWS Aurora Serverless adjusts its compute capacity to the current workload and charges based on the actual consumed compute capacity, making it cost-effective for variable workloads and reducing the need for database administration, as the capacity management is fully handled by AWS. Other options might provide some of these features, but Aurora Serverless uniquely fulfills all the criteria specified. For example, Amazon RDS requires capacity provisioning that doesn't automatically scale and incurs costs for unused resources. DynamoDB, while having auto-scaling capabilities, is not a relational database and might involve significant schema changes. AWS Redshift is optimized for data warehousing and analytics rather than transactional workloads.

Using AWS Key Management Service (AWS KMS) to manage encryption keys allows for both the necessary encryption of data at rest and the automated rotation of encryption keys. AWS KMS supports automatic key rotation, where a new version of the CMK is created every year, and previous versions of the key can still be used to decrypt data that was encrypted under it, thus maintaining access while adhering to the regulatory requirements. AWS CloudHSM is a service that helps you meet corporate, contractual, and regulatory compliance requirements for data security by using dedicated Hardware Security Module (HSM) appliances within the AWS Cloud, but it's not specified that dedicated HSMs are required. Using S3 managed keys (SSE-S3) does not provide the capability for manual key rotation or compliance with the specific mandate for key rotation. While Server-Side Encryption with Customer-Provided Keys (SSE-C) allows you to manage the encryption key, it does not provide any mechanisms for automated rotation.

Amazon RDS Proxy is designed to handle a large volume of concurrent database connections and smooth out spikes in connection requests to RDS databases. It mitigates database overload by absorbing the connections to create a connection pool and by reducing database failovers through intelligent load balancing. Using RDS Proxy decreases the need to refactor the applications that are not designed to manage such spikes, which distinguishes it from the other answer options that do not offer the same degree of functionality for this specific requirement.

The capability that allows users to append labels for detailed tracking and categorization of spending is known as cost allocation tags. These tags help users break down their cloud expenditures by project, department, environment, or other organizational dimensions, thereby enabling detailed cost analysis and improving spending visibility. Resource groups and AWS Organizations are used for managing and organizing resources and accounts, but they do not by themselves offer the functionality of categorizing spending through labeling. Spending alarms can notify you when your costs exceed a certain threshold but do not categorize or track costs like cost allocation tags do.

The correct tool for this scenario is the detailed billing and cost management service that provides analytical features. This service allows for in-depth visualization and examination of expenses, enabling the categorization of operational costs through tagging, and offers predictive features for future expense estimation. It's suitable for generating specialized reports that help in identifying spending trends for each service, aiding the firm in maintaining control over their financial outlay.

Using Amazon S3 to serve static content, Auto Scaling groups for the application tier, and Amazon RDS with Multi-AZ deployment for data persistence is the best solution. Amazon S3 is highly durable and can serve static content with low latency. Auto Scaling groups provide the elastic compute capacity needed to handle varying loads, ensuring that the application tier can scale in or out based on demand. Amazon RDS with a Multi-AZ deployment ensures high availability and automated failover for the database tier, making sure the data tier is robust and resilient against individual component failures.

The correct answer is to take daily backups and transition the backups to Amazon Glacier after 30 days since it is a cost-effective solution for infrequent access and long-term retention. Frequent backups (hourly) with immediate transition to Amazon Glacier would be unnecessary and could result in higher costs due to the frequent Glacier retrieval charges. Taking weekly backups would not meet the requirement for daily backups. Keeping all backups in Amazon S3 standard for seven years would be the most expensive option due to the higher storage costs compared to Amazon Glacier.

Amazon Cognito is the correct answer as it provides user sign-up, sign-in, and access management for web and mobile applications. It offers an easy way to implement authentication without worrying about the backend infrastructure. IAM is for controlling access to services and resources at a more granular level, KMS is used for managing cryptographic keys, and GuardDuty is a threat detection service, which do not directly offer user management for applications.

Amazon S3 is an object storage service that is designed to store and retrieve any amount of data from anywhere on the web. It does not require a pre-defined schema and is not suited for traditional relational database operations that depend on a structured schema. Instead, it allows for storing data as objects within resources called buckets, with a flat namespace. This question is designed to test the candidate's knowledge of the characteristics of Amazon S3 compared to other storage services that may support structured data and predefined schemas.

Amazon DynamoDB is a NoSQL database service that supports both document and key-value data models, making it versatile for different types of non-relational data. It is optimized for performance, delivering single-digit millisecond response times, and scales seamlessly, making it ideal for read-heavy workloads such as gaming leaderboards, shopping cart applications, and real-time analytics.

Amazon DynamoDB is the optimal solution for this use case as it provides a NoSQL database with the ability to scale automatically to accommodate high ingest rates of transaction records. It is designed for applications that require consistent, single-digit millisecond latency for any scale. Additionally, DynamoDB offers strong consistency, ensuring that after a write, any subsequent read will reflect the change. In contrast, RDS is better suited for structured data requiring relational capabilities, Neptune is tailored for graph database use cases, and DocumentDB is optimized for JSON document storage which, while capable of handling key-value pairs, is not as cost-effective or performant for this specific scenario as DynamoDB.

The correct answer is Amazon Cognito, which allows developers to add user sign-up, sign-in, and access control to their web and mobile applications quickly and easily. It also supports federated authentication with social identity providers, such as Facebook, Google, and Amazon, which is the functionality described in the question. The other services listed have different primary uses: AWS IAM is designed for secure AWS resource management, AWS Control Tower is for governance across multiple AWS accounts, and Amazon GuardDuty specializes in security threat detection and continuous monitoring.