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The SAA-C03 certification exam measures the candidate's proficiency in several domains, including AWS core services, architectural design, security, and troubleshooting. SAA-C03 exam consists of 65 multiple-choice and multiple-response questions that need to be completed within 130 minutes. The passing score for the SAA-C03 exam is 720 out of 1000. SAA-C03 exam fee is $150, and the certification is valid for three years. SAA-C03 exam can be taken either at a testing center or remotely via online proctoring.
Achieving the Amazon SAA-C03 Certification demonstrates a high level of expertise in designing and deploying applications on AWS. AWS Certified Solutions Architect - Associate certification is recognized by employers and industry experts as a valuable credential that can help users advance their careers in the cloud computing industry. AWS Certified Solutions Architect - Associate certification is also a prerequisite for other AWS certifications, such as the Professional and Specialty certifications.
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Amazon SAA-C03 exam is a certification exam that validates the technical expertise of individuals in designing and deploying scalable and fault-tolerant systems on AWS. SAA-C03 exam tests the candidate's knowledge of AWS services and their ability to design and deploy highly available, cost-effective, and scalable systems on AWS. Candidates who Pass SAA-C03 Exam will demonstrate their ability to design and deploy robust and scalable systems on AWS, which is highly valued by employers. To prepare for the exam, candidates should enroll in AWS training courses, read AWS documentation, and practice with AWS services.
Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q352-Q357):
NEW QUESTION # 352
[Design High-Performing Architectures]
A company has a legacy data processing application that runs on Amazon EC2 instances. Data is processed sequentially, but the order of results does not matter. The application uses a monolithicarchitecture. The only way that the company can scale the application to meet increased demand is to increase the size of the instances.
The company's developers have decided to rewrite the application to use a microservices architecture on Amazon Elastic Container Service (Amazon ECS).
What should a solutions architect recommend for communication between the microservices?
- A. Create an Amazon Simple Queue Service (Amazon SQS) queue. Add code to the data producers, and send data to the queue. Add code to the data consumers to process data from the queue.
- B. Create an Amazon DynamoDB table. Enable DynamoDB Streams. Add code to the data producers to insert data into the table. Add code to the data consumers to use the DynamoDB Streams API to detect new table entries and retrieve the data.
- C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Add code to the data producers, and publish notifications to the topic. Add code to the data consumers to subscribe to the topic.
- D. Create an AWS Lambda function to pass messages. Add code to the data producers to call the Lambda function with a data object. Add code to the data consumers to receive a data object that is passed from the Lambda function.
Answer: A
Explanation:
Queue has Limited throughput (300 msg/s without batching, 3000 msg/s with batching whereby up-to 10 msg per batch operation; Msg duplicates not allowed in the queue (exactly-once delivery); Msg order is preserved (FIFO); Queue name must end with .fifo
NEW QUESTION # 353
A developer creates a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Auto Scaling group. The developer reviews the deployment and notices some suspicious traffic to the application. The traffic is malicious and is coming from a single public IP address. A solutions architect must block the public IP address.
Which solution will meet this requirement?
- A. Add the malicious IP address to an IP set in AWS WAF. Create a web ACL. Include an IP set rule with the action set to BLOCK. Associate the web ACL with the ALB.
- B. Implement AWS Resource Access Manager (AWS RAM) to manage traffic rules and to block malicious activity from the internet. Associate AWS RAM with the ALB.
- C. Implement Amazon Detective to monitor traffic and to block malicious activity from the internet. Configure Detective to integrate with the ALB.
- D. Create a security group rule to deny all inbound traffic from the suspicious IP address. Associate the security group with the ALB.
Answer: A
Explanation:
When an application is fronted by an Application Load Balancer (ALB) and malicious traffic is detected from a specific IP, the correct way to block the IP is by using AWS WAF (Web Application Firewall).
With AWS WAF, you can create an IP Set to include the offending IP address or range.
Then create a Web ACL (Access Control List) with a rule set to BLOCK requests from that IP set.
Finally, associate the Web ACL with the ALB.
Security groups (Option A) cannot deny specific IPs because they are stateful and allow-only rules.
Amazon Detective (Option B) is a security analysis and investigation tool; it doesn't block traffic.
AWS RAM (Option C) is for resource sharing across accounts, not for blocking IPs.
This approach aligns with AWS's Security Pillar of the Well-Architected Framework and is fully managed, with minimal operational effort.
Reference:
Using AWS WAF with an Application Load Balancer
Block IPs with AWS WAF
NEW QUESTION # 354
A healthcare company is designing a system to store and manage logs in the AWS Cloud. The system ingests and stores logs in JSON format that contain sensitive patient information. The company must identify any sensitive data and must be able to search the log data by using SQL queries.
Which solution will meet these requirements?
- A. Store the logs in an Amazon S3 bucket. Configure Amazon Macie to discover sensitive data. Use Amazon Athena to query the logs.
- B. Store the logs in Amazon DynamoDB. Use AWS KMS to discover sensitive data. Use Amazon Redshift Spectrum to query the logs.
- C. Store the logs in an Amazon EBS volume. Create an application that uses Amazon SageMaker AI to detect sensitive data. Use Amazon RDS to query the logs.
- D. Store the logs in an Amazon S3 bucket. Use Amazon Inspector to discover sensitive data. Use Amazon Athena to query the logs.
Answer: A
Explanation:
AWS documentation states that Amazon Macie is the managed service designed to automatically identify and classify sensitive data stored in Amazon S3, including PII and healthcare-related identifiers.
Storing logs in Amazon S3 provides scalable, durable storage, and Amazon Athena can directly query JSON data stored in S3 using SQL.
Amazon Inspector (Option D) is for vulnerability scanning and does not identify sensitive data. DynamoDB with KMS (Option C) cannot detect sensitive information. EBS (Option B) requires custom tooling and does not support serverless SQL querying.
NEW QUESTION # 355
A company has implemented a self-managed DNS service on AWS. The solution consists of the following:
* Amazon EC2 instances in different AWS Regions
* Endpomts of a standard accelerator m AWS Global Accelerator
The company wants to protect the solution against DDoS attacks What should a solutions architect do to meet this requirement?
- A. Subscribe to AWS Shield Advanced Add the accelerator as a resource to protect
- B. Create an AWS WAF web ACL that includes a rate-based rule Associate the web ACL with the accelerator
- C. Subscribe to AWS Shield Advanced Add the EC2 instances as resources to protect
- D. Create an AWS WAF web ACL that includes a rate-based rule Associate the web ACL with the EC2 instances
Answer: A
Explanation:
Explanation
AWS Shield is a managed service that provides protection against Distributed Denial of Service (DDoS) attacks for applications running on AWS. AWS Shield Standard is automatically enabled to all AWS customers at no additional cost. AWS Shield Advanced is an optional paid service. AWS Shield Advanced provides additional protections against more sophisticated and larger attacks for your applications running on Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing (ELB), Amazon CloudFront, AWS Global Accelerator, and Route 53.
https://docs.aws.amazon.com/waf/latest/developerguide/ddos-event-mitigation-logic-gax.html
NEW QUESTION # 356
[Design High-Performing Architectures]
A company's web application that is hosted in the AWS Cloud recently increased in popularity. The web application currently exists on a single Amazon EC2 instance in a single public subnet. The web application has not been able to meet the demand of the increased web traffic.
The company needs a solution that will provide high availability and scalability to meet the increased user demand without rewriting the web application.
Which combination of steps will meet these requirements? (Select TWO.)
- A. Configure an Application Load Balancer in a public subnet to distribute web traffic
- B. Configure Amazon EC2 Auto Scaling with multiple Availability Zones in private subnets.
- C. Replace the EC2 instance with a larger memory optimized instance.
- D. Replace the EC2 instance with a larger compute optimized instance.
- E. Configure a NAT gateway in a public subnet to handle web requests.
Answer: A,B
Explanation:
These two steps will meet the requirements because they will provide high availability and scalability for the web application without rewriting it. Amazon EC2 Auto Scaling allows you to automatically adjust the number of EC2 instances in response to changes in demand. By configuring Auto Scaling with multiple Availability Zones in private subnets, you can ensure that your web application is distributed across isolated and fault-tolerant locations, and that your instances are not directly exposed to the internet. An Application Load Balancer operates at the application layer and distributes incoming web traffic across multiple targets, such as EC2 instances, containers, or Lambda functions. By configuring an Application Load Balancer in a public subnet, you can enable your web application to handle requests from the internet and route them to the appropriate targets in the private subnets.
Reference:
What is Amazon EC2 Auto Scaling?
What is an Application Load Balancer?
NEW QUESTION # 357
......
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