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Amazon SAA-C03 Exam
- Topic 1: The AWS shared responsibility model/ Access controls and management across multiple accounts
- Topic 2: Design secure access to AWS resources/ Design Secure Architectures
- Topic 3: Control ports, protocols, and network traffic on AWS/ Design secure workloads and applications
- Topic 4: Threat vectors external to AWS/ AWS federated access and identity services
- Topic 5: Encryption and appropriate key management/ Determine appropriate data security controls
- Topic 6: How to appropriately use edge accelerators/ AWS managed services with appropriate use cases
- Topic 7: Storage types with associated characteristics/ Design scalable and loosely coupled architectures
- Topic 8: Storage types with associated characteristics/ Design High-Performing Architectures
- Topic 9: Distributed computing concepts supported by AWS global infrastructure and edge services/ Serverless technologies and patterns
- Topic 10: Database engines with appropriate use cases/ Determine high-performing database solutions
- Topic 11: Design Resilient Architectures/ Design high-performing and elastic compute solutions
- Topic 12: Design highly available and/or fault-tolerant architectures/ Determine high-performing and/or scalable network architectures.
- Topic 13: Determine high-performing data ingestion and transformation solutions/ Determine high-performing and/or scalable storage solutions
- Topic 14: Design cost-optimized compute solutions/ Design Cost-Optimized Architectures
- Topic 15: Design cost-optimized database solutions/ Design cost-optimized storage solutions
Free Amazon SAA-C03 Exam Actual Questions
The questions for SAA-C03 were last updated On Apr. 10, 2024
A company website hosted on Amazon EC2 instances processes classified data stored in The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.
Which solution will meet this requirement?
The simplest and most effective way to ensure that all data that is written to the EBS volumes is encrypted at rest is to create the EBS volumes as encrypted volumes. You can do this by selecting the encryption option when you create a new EBS volume, or by copying an existing unencrypted volume to a new encrypted volume. You can also specify the AWS KMS key that you want to use for encryption, or use the default AWS-managed key. When you attach the encrypted EBS volumes to the EC2 instances, the data will be automatically encrypted and decrypted by the EC2 host. This solution does not require any additional IAM roles, tags, or policies.
A company wants to analyze and troubleshoot Access Denied errors and Unauthonzed errors that are related to 1AM permissions The company has AWS CloudTrail turned on Which solution will meet these requirements with the LEAST effort?
This solution meets the following requirements:
It is the least effort, as it does not require any additional AWS services, custom scripts, or data processing steps. Amazon Athena is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to query CloudTrail logs directly from the S3 bucket where they are stored, without any data loading or transformation. You can also use the AWS Management Console, the AWS CLI, or the Athena API to run and manage your queries.
It is effective, as it allows you to filter, aggregate, and join CloudTrail log data using SQL syntax. You can use various SQL functions and operators to specify the criteria for identifying Access Denied and Unauthorized errors, such as the error code, the user identity, the event source, the event name, the event time, and the resource ARN. You can also use subqueries, views, and common table expressions to simplify and optimize your queries.
It is flexible, as it allows you to customize and save your queries for future use. You can also export the query results to other formats, such as CSV or JSON, or integrate them with other AWS services, such as Amazon QuickSight, for further analysis and visualization.
Querying AWS CloudTrail Logs - Amazon Athena
Analyzing Data in S3 using Amazon Athena | AWS Big Data Blog
Troubleshoot IAM permisson access denied or unauthorized errors | AWS re:Post
A company has a three-tier environment on AWS that ingests sensor data from its users' devices The traffic flows through a Network Load Balancer (NIB) then to Amazon EC2 instances for the web tier and finally to EC2 instances for the application tier that makes database calls
What should a solutions architect do to improve the security of data in transit to the web tier?
A: How do you protect your data in transit?
Best Practices:
Implement secure key and certificate management: Store encryption keys and certificates securely and rotate them at appropriate time intervals while applying strict access control; for example, by using a certificate management service, such as AWS Certificate Manager (ACM).
Enforce encryption in transit: Enforce your defined encryption requirements based on appropriate standards and recommendations to help you meet your organizational, legal, and compliance requirements.
Automate detection of unintended data access: Use tools such as GuardDuty to automatically detect attempts to move data outside of defined boundaries based on data classification level, for example, to detect a trojan that is copying data to an unknown or untrusted network using the DNS protocol.
Authenticate network communications: Verify the identity of communications by using protocols that support authentication, such as Transport Layer Security (TLS) or IPsec.
https://wa.aws.amazon.com/wat.question.SEC_9.en.html
A company uses AWS Organizations to run workloads within multiple AWS accounts A tagging policy adds department tags to AWS resources when the company creates tags.
An accounting team needs to determine spending on Amazon EC2 consumption The accounting team must determine which departments are responsible for the costs regardless of AWS account The accounting team has access to AWS Cost Explorer for all AWS accounts within the organization and needs to access all reports from Cost Explorer.
Which solution meets these requirements in the MOST operationally efficient way'?
This solution meets the following requirements:
It is operationally efficient, as it only requires one activation of the cost allocation tag and one creation of the cost report from the management account, which has access to all the member accounts' data and billing pReference.
It is consistent, as it uses the AWS-defined cost allocation tag named department, which is automatically applied to resources when the company creates tags using the tagging policy enforced by AWS Organizations. This ensures that the tag name and value are the same across all the resources and accounts, and avoids any discrepancies or errors that might arise from user-defined tags.
It is informative, as it creates one cost report in Cost Explorer grouping by the tag name, and filters by EC2. This allows the accounting team to see the breakdown of EC2 consumption and costs by department, regardless of the AWS account. The team can also use other features of Cost Explorer, such as charts, filters, and forecasts, to analyze and optimize the spending.
Using AWS cost allocation tags - AWS Billing
A company wants to run its payment application on AWS The application receives payment notifications from mobile devices Payment notifications require a basic validation before they are sent for further processing
The backend processing application is long running and requires compute and memory to be adjusted The company does not want to manage the infrastructure
Which solution will meet these requirements with the LEAST operational overhead?
This option is the best solution because it allows the company to run its payment application on AWS with minimal operational overhead and infrastructure management. By using Amazon API Gateway, the company can create a secure and scalable API to receive payment notifications from mobile devices. By using AWS Lambda, the company can run a serverless function to validate the payment notifications and send them to the backend application. Lambda handles the provisioning, scaling, and security of the function, reducing the operational complexity and cost. By using Amazon ECS with AWS Fargate, the company can run the backend application on a fully managed container service that scales the compute resources automatically and does not require any EC2 instances to manage. Fargate allocates the right amount of CPU and memory for each container and adjusts them as needed.
A) Create an Amazon Simple Queue Service (Amazon SQS) queue Integrate the queue with an Amazon EventBndge rule to receive payment notifications from mobile devices Configure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere Create a standalone cluster. This option is not optimal because it requires the company to manage the Kubernetes cluster that runs the backend application. Amazon EKS Anywhere is a deployment option that allows the company to create and operate Kubernetes clusters on-premises or in other environments outside AWS. The company would need to provision, configure, scale, patch, and monitor the cluster nodes, which can increase the operational overhead and complexity. Moreover, the company would need to ensure the connectivity and security between the AWS services and the EKS Anywhere cluster, which can also add challenges and risks.
B) Create an Amazon API Gateway API Integrate the API with anAWS Step Functions state ma-chine to receive payment notifications from mobile devices Invoke the state machine to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic Kubernetes Sen/ice (Amazon EKS). Configure an EKS cluster with self-managed nodes. This option is not ideal because it requires the company to manage the EC2 instances that host the Kubernetes cluster that runs the backend application. Amazon EKS is a fully managed service that runs Kubernetes on AWS, but it still requires the company to manage the worker nodes that run the containers. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, using AWS Step Functions to validate the payment notifications may be unnecessary and complex, as the validation logic can be implemented in a simpler way with Lambda or other services.
C) Create an Amazon Simple Queue Sen/ice (Amazon SQS) queue Integrate the queue with an Amazon EventBridge rule to receive payment notifications from mobile devices Configure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon EC2 Spot Instances Configure a Spot Fleet with a default al-location strategy. This option is not cost-effective because it requires the company to manage the EC2 instances that run the backend application. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, using Spot Instances can introduce the risk of interruptions, as Spot Instances are reclaimed by AWS when the demand for On-Demand Instances increases. The company would need to handle the interruptions gracefully and ensure the availability and reliability of the backend application.
1Amazon API Gateway - Amazon Web Services
2AWS Lambda - Amazon Web Services
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