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To achieve the Amazon SAA-C03 certification, candidates need to demonstrate their proficiency in various AWS services, such as EC2, S3, RDS, VPC, and Route 53, among others. Candidates are required to have at least one year of hands-on experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. The SAA-C03 certification exam consists of 65 multiple-choice and multiple-response questions, and the candidates have 130 minutes to complete the exam. The passing score for the exam is 720 out of 1000 points. Earning the Amazon SAA-C03 certification not only validates the candidate’s expertise in AWS but also demonstrates their commitment to staying up-to-date with the latest trends and best practices in cloud computing.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) exam is a certification that validates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is intended for professionals who have a solid understanding of AWS services and can design and implement solutions that meet business requirements. The SAA-C03 Exam measures the knowledge and skills necessary to design and deploy AWS services that are secure, cost-effective, and highly available.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q927-Q932):

NEW QUESTION # 927
[Design High-Performing Architectures]
A company hosts its multi-tier, public web application in the AWS Cloud. The web application runs on Amazon EC2 instances, and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build asolution to analyze the performance of the web application with a granularity of no more than 2 minutes.
What should the solutions architect do to meet this requirement?

A. Create an AWS Lambda function to fetch EC2 logs from Amazon CloudWatch Logs. Use Amazon CloudWatch metrics to perform further analysis.
B. Send Amazon CloudWatch logs to Amazon Redshift. Use Amazon QuickSight to perform further analysis.
C. Send EC2 logs to Amazon S3. Use Amazon Redshift to fetch togs from the S3 bucket to process raw data tor further analysis with Amazon QuickSight.
D. Enable detailed monitoring on all EC2 instances. Use Amazon CloudWatch metrics to perform further analysis.

Answer: D

Explanation:
To analyze the performance of the web application with granularity of no more than 2 minutes, enablingdetailed monitoringon EC2 instances is the best solution. By default, CloudWatch provides metrics at a 5-minute interval. Enabling detailed monitoring allows you to collect metrics at 1-minute intervals, which will give you the level of granularity you need to analyze performance during peak traffic.
Amazon CloudWatch metrics can then be used to analyze CPU utilization, memory usage, disk I/O, and network throughput, among other performance-related metrics, at the desired granularity.
Option A: Sending CloudWatch logs to Redshift for analysis is unnecessary and overcomplicated for simple performance analysis, which can be done using CloudWatch metrics alone.
Option C: Fetching EC2 logs via Lambda adds complexity, and CloudWatch metrics already provide the required data for performance analysis.
Option D: Sending logs to S3 and using Redshift for analysis is also more complex than necessary for simple performance monitoring.
AWS Reference:
Monitoring Amazon EC2 with CloudWatch
Amazon CloudWatch Detailed Monitoring

NEW QUESTION # 928
[Design High-Performing Architectures]
A company manages its own Amazon EC2 instances that run MySQL databases. The company is manually managing replication and scaling as demand increases or decreases. The company needs a new solution that simplifies the process of adding or removing compute capacity to orfrom its database tier as needed. The solution also must offer improved performance, scaling, and durability with minimal effort from operations.
Which solution meets these requirements?

A. Migrate the databases to Amazon Aurora Serverless for Aurora MySQL.
B. Create an EC2 Auto Scaling group for the database tier. Migrate the existing databases to the new environment.
C. Migrate the databases to Amazon Aurora Serverless for Aurora PostgreSQL.
D. Combine the databases into one larger MySQL database. Run the larger database on larger EC2 instances.

Answer: A

Explanation:
https://aws.amazon.com/rds/aurora/serverless/

NEW QUESTION # 929
An application runs on Amazon EC2 instances in private subnets. The application needs to access an Amazon DynamoDB table. What is the MOST secure way to access the table while ensuring that the traffic does not leave the AWS network?

A. Use a NAT instance in a private subnet.
B. Use a NAT gateway in a public subnet.
C. Use a VPC endpoint for DynamoDB.
D. Use the internet gateway attached to the VPC.

Answer: C

Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/vpc-endpoints-dynamodb.html A VPC endpoint for DynamoDB enables Amazon EC2 instances in your VPC to use their private IP addresses to access DynamoDB with no exposure to the public internet. Your EC2 instances do not require public IP addresses, and you don't need an internet gateway, a NAT device, or a virtual private gateway in your VPC.
You use endpoint policies to control access to DynamoDB. Traffic between your VPC and the AWS service does not leave the Amazon network.

NEW QUESTION # 930
A company uses AWS to host its public ecommerce website. The website uses an AWS Global Accelerator accelerator for traffic from the internet. Tte Global Accelerator accelerator forwards the traffic to an Application Load Balancer (ALB) that is the entry point for an Auto Scaling group.
The company recently identified a ODoS attack on the website. The company needs a solution to mitigate future attacks.
Which solution will meet these requirements with the LEAST implementation effort?

A. Configure an AWS WAF web ACL for the Global Accelerator accelerator to block traffic by using rate-based rules.
B. Configure an AWS WAF web ACL on the ALB to block traffic by using rate-based rules.
C. Configure an AWS Lambda function to read the ALB metrics to block attacks by updating a VPC network ACL.
D. Configure an Ama7on CloudFront distribution in front of the Global Accelerator accelerator

Answer: A

Explanation:
* Understanding the Requirement: The company needs to mitigate DDoS attacks on its website, which uses AWS Global Accelerator to route traffic to an Application Load Balancer (ALB).
* Analysis of Options:
* AWS WAF on Global Accelerator: Allows for centralized protection and can block traffic based on rate-based rules, effectively mitigating DDoS attacks with minimal implementation effort.
* Lambda Function and VPC Network ACL: Requires custom implementation and ongoing management, increasing complexity and effort.
* AWS WAF on ALB: Provides protection but involves additional configuration and management at the ALB level.
* CloudFront Distribution in front of Global Accelerator: Adds unnecessary complexity and changes the current traffic flow setup.
* Best Solution:
* AWS WAF on Global Accelerator: This provides the required protection with the least implementation effort, ensuring effective DDoS mitigation and maintaining the existing architecture.
References:
* AWS WAF
* Using AWS WAF with AWS Global Accelerator

NEW QUESTION # 931
[Design Secure Architectures]
A company uses a set of Amazon EC2 instances to host a website. The website uses an Amazon S3 bucket to store images and media files.
The company wants to automate website infrastructure creation to deploy the website to multiple AWS Regions. The company also wants to provide the EC2 instances access to the S3 bucket so the instances can store and access data by using AWS Identity and Access Management (IAM).
Which solution will meet these requirements MOST securely?

A. Create an AWS Cloud Format ion template for the web server EC2 instances. Save an IAM access key in the UserData section of the AWS;:EC2::lnstance entity in the CloudFormation template.
B. Create a script that retrieves an IAM secret access key and access key ID from IAM and stores them on the web server EC2 instances. Include the script in the UserData section of the AWS::EC2::lnstance entity in an AWS CloudFormation template.
C. Create a file that contains an IAM secret access key and access key ID. Store the file in a new S3 bucket. Create an AWS CloudFormation template. In the template, create a parameter to specify the location of the S3 object that contains the access key and access key ID.
D. Create an IAM role and an IAM access policy that allows the web server EC2 instances to access the S3 bucket. Create an AWS CloudFormation template for the web server EC2 instances that contains an IAM instance profile entity that references the IAM role and the IAM access policy.

Answer: D

Explanation:
The most secure solution for allowing EC2 instances to access an S3 bucket is by usingIAM roles. An IAM role can be created with an access policy that grants the required permissions (e.g., to read and write to the S3 bucket). The IAM role is then associated with the EC2 instances through anIAM instance profile.
By associating the role with the instances, the EC2 instances can securely assume the role and receive temporary credentials via the instance metadata service. This avoids the need to store credentials (such as access keys) on the instances or within the application, enhancing security and reducing the risk of credentials being exposed.
AWS CloudFormation can be used to automate the creation of the entire infrastructure, including EC2 instances, IAM roles, and associated policies.
AWS Reference:
IAM Roles for EC2 Instancesoutlines the use of IAM roles for secure access to AWS services.
AWS CloudFormation User Guidedetails how to create and manage resources using CloudFormation templates.
Why the other options are incorrect:
A . Save IAM access key in UserData: This is insecure because it involves storing long-term credentials in the instance user data, which can be exposed.
B . Store access keys in S3: This is also insecure, as it involves managing and distributing long-term credentials, which should be avoided.
D . Retrieve access keys via a script: This approach is unnecessarily complex and less secure than using IAM roles, which provide temporary credentials automatically.

NEW QUESTION # 932
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