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The SAA-C03 exam covers a wide range of topics, including AWS core services such as EC2, S3, RDS, and VPC, as well as advanced concepts such as load balancing, auto-scaling, and disaster recovery. Candidates are expected to have a deep understanding of the AWS infrastructure and be able to design and deploy scalable and fault-tolerant systems on AWS.

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Amazon SAA-C03 certification is highly valued in the IT industry, as it demonstrates that an individual has a deep understanding of AWS services and can design and deploy complex systems on AWS. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification is particularly relevant for individuals who are interested in working as solutions architects, systems administrators, or developers on AWS.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q677-Q682):

NEW QUESTION # 677
A company is designing a shared storage solution for a gaming application that is hosted in the AWS Cloud The company needs the ability to use SMB clients to access data solution must be fully managed.
Which AWS solution meets these requirements?

• A. Create an Amazon FSx for Windows File Server file system Attach the file system to the origin server Connect the application server to the file system
• B. Create an Amazon EC2 Windows instance Install and configure a Windows file share role on the instance Connect the application server to the file share
• C. Create an AWS DataSync task that shares the data as a mountable file system Mount the file system to the application server
• D. Create an Amazon S3 bucket Assign an IAM role to the application to grant access to the S3 bucket Mount the S3 bucket to the application server

Answer: A

NEW QUESTION # 678
A company is running a multi-tier web application on premises. The web application is containerized and runs on a number of Linux hosts connected to a PostgreSQL database that contains user records. The operational overhead of maintaining the infrastructure and capacity planning is limiting the company's growth. A solutions architect must improve the application's infrastructure.
Which combination of actions should the solutions architect take to accomplish this? (Choose two.)

• A. Set up an Amazon CloudFront distribution for the web application content.
• B. Migrate the web application to be hosted on AWS Fargate with Amazon Elastic Container Service (Amazon ECS).
• C. Migrate the web application to be hosted on Amazon EC2 instances.
• D. Set up Amazon ElastiCache between the web application and the PostgreSQL database.
• E. Migrate the PostgreSQL database to Amazon Aurora

Answer: B,E

Explanation:
Explanation
Amazon Aurora is a fully managed, scalable, and highly available relational database service that is compatible with PostgreSQL. Migrating the database to Amazon Aurora would reduce the operational overhead of maintaining the database infrastructure and allow the company to focus on building and scaling the application. AWS Fargate is a fully managed container orchestration service that enables users to run containers without the need to manage the underlying EC2 instances. By using AWS Fargate with Amazon Elastic Container Service (Amazon ECS), the solutions architect can improve the scalability and efficiency of the web application and reduce the operational overhead of maintaining the underlying infrastructure.

NEW QUESTION # 679
A cryptocurrency company wants to go global with its international money transfer app. Your project is to make sure that the database of the app is highly available in multiple regions.
What are the benefits of adding Multi-AZ deployments in Amazon RDS? (Select TWO.)

• A. Increased database availability in the case of system upgrades like OS patching or DB Instance scaling.
• B. Provides enhanced database durability in the event of a DB instance component failure or an Availability Zone outage.
• C. Provides SQL optimization.
• D. Significantly increases the database performance.
• E. Creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ) in a different region.

Answer: A,B

Explanation:
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable.
In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.

The chief benefits of running your DB instance as a Multi-AZ deployment are enhanced database durability and availability. The increased availability and fault tolerance offered by Multi-AZ deployments make them a natural fit for production environments. Hence, the correct answers are the following options:
- Increased database availability in the case of system upgrades like OS patching or DB Instance scaling.
- Provides enhanced database durability in the event of a DB instance component failure or an Availability Zone outage.
The option that says: Creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ) in a different region is almost correct. RDS synchronously replicates the data to a standby instance in a different Availability Zone (AZ) that is in the same region and not in a different one.
The options that say: Significantly increases the database performance and Provides SQL optimization are incorrect as it does not affect the performance nor provide SQL optimization.
References: https://aws.amazon.com/rds/details/multi-az/ https://aws.amazon.com/rds/faqs/ Check out this Amazon RDS Cheat Sheet: https://tutorialsdojo.com/amazon-relational-database-service- amazon-rds/

NEW QUESTION # 680
A company is migrating its on-premises Oracle database to an Amazon RDS for Oracle database. The company needs to retain data for 90 days to meet regulatory requirements. The company must also be able to restore the database to a specific point in time for up to 14 days.
Which solution will meet these requirements with the LEAST operational overhead?

• A. Create Amazon RDS automated backups. Set the retention period to 90 days.
• B. Use the Amazon Aurora Clone feature for Oracle to create a point-in-time restore. Delete clones that are older than 90 days
• C. Create a backup plan that has a retention period of 90 days by using AWS Backup for Amazon RDS.
• D. Create an Amazon RDS manual snapshot every day. Delete manual snapshots that are older than 90 days.

Answer: C

Explanation:
AWS Backup is the most appropriate solution for managing backups with minimal operational overhead while meeting the regulatory requirement to retain data for 90 days and enabling point-in-time restore for up to 14 days.
AWS Backup: AWS Backup provides a centralized backup management solution that supports automated backup scheduling, retention management, and compliance reporting across AWS services, including Amazon RDS. By creating a backup plan, you can define a retention period (in this case, 90 days) and automate the backup process.
Point-in-Time Restore (PITR): Amazon RDS supports point-in-time restore for up to 35 days with automated backups. By using AWS Backup in conjunction with RDS, you ensure that your backup strategy meets the requirement for restoring data to a specific point in time within the last 14 days.
Why Not Other Options?:
Option A (RDS Automated Backups): While RDS automated backups support PITR, they do not directly support retention beyond 35 days without manual intervention.
Option B (Manual Snapshots): Manually creating and managing snapshots is operationally intensive and less automated compared to AWS Backup.
Option C (Aurora Clones): Aurora Clone is a feature specific to Amazon Aurora and is not applicable to Amazon RDS for Oracle.
AWS Reference:
AWS Backup - Overview of AWS Backup and its capabilities.
Amazon RDS Automated Backups - Information on how RDS automated backups work and their limitations.

NEW QUESTION # 681
A solutions architect needs to copy files from an Amazon S3 bucket to an Amazon Elastic File System (Amazon EFS) file system and another S3 bucket. The files must be copied continuously. New files are added to the original S3 bucket consistently. The copied files should be overwritten only if the source file changes.
Which solution will meet these requirements with the LEAST operational overhead?

• A. Create an AWS Lambda function. Mount the file system to the function. Set up an S3 event notification to invoke the function when files are created and changed in Amazon S3. Configure the function to copy files to the file system and the destination S3 bucket.
• B. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer all data.
• C. Launch an Amazon EC2 instance in the same VPC as the file system. Mount the file system. Create a script to routinely synchronize all objects that changed in the origin S3 bucket to the destination S3 bucket and the mounted file system.
• D. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer only data that has changed.

Answer: D

Explanation:
AWS DataSync is a service that makes it easy to move large amounts of data between AWS storage services and on-premises storage systems. AWS DataSync can copy files from an S3 bucket to an EFS file system and another S3 bucket continuously, as well as overwrite only the files that have changed in the source. This solution will meet the requirements with the least operational overhead, as it does not require any code development or manual intervention.
References:
4 explains how to create AWS DataSync locations for different storage services.
5 describes how to create and configure AWS DataSync tasks for data transfer.
6 discusses the different transfer modes that AWS DataSync supports.

NEW QUESTION # 682
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