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Amazon SAA-C03 certification exam is a valuable certification for individuals who want to advance their careers in cloud computing. AWS Certified Solutions Architect - Associate certification is recognized by many organizations, and individuals who hold the certification are in high demand. Additionally, the certification provides individuals with the opportunity to expand their knowledge of AWS services and become experts in cloud computing.
Amazon SAA-C03 Certification is highly valued by employers and is recognized worldwide. It is a clear indication of the candidate’s knowledge and expertise in AWS, and it demonstrates their ability to design and deploy highly available and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification also opens up new job opportunities and career advancements.
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The SAA-C03 Certification Exam is designed for IT professionals who are responsible for designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Candidates for this certification should have a solid understanding of AWS services, architecture, and best practices. They should also have experience with designing and deploying AWS solutions using AWS services such as EC2, S3, RDS, and VPC.
NEW QUESTION # 792
A company wants to use Amazon S3 for the secondary copy of its on-premises dataset. The company would rarely need to access this copy. The storage solution's cost should be minimal.
Which storage solution meets these requirements?
Answer: D
Explanation:
Explanation
S3 One Zone-IA is a storage class that is designed for data that is accessed less frequently, but requires rapid access when needed. Unlike other S3 Storage Classes which store data in a minimum of three Availability Zones (AZs), S3 One Zone-IA stores data in a single AZ and costs 20% less than S3 Standard-IA. This storage class meets the requirements of the company because it provides a low-cost solution for the secondary copy of its on-premises dataset that would rarely need to be accessed. The other storage classes are either more expensive or not suitable for infrequently accessed data.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html
NEW QUESTION # 793
A social media company runs its application on Amazon EC2 instances behind an Application Load Balancer (ALB). The ALB is the origin for an Amazon CloudFront distribution. The application has more than a billion images stored in an Amazon S3 bucket and processes thousands of images each second. The company wants to resize the images dynamically and serve appropriate formats to clients.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
Lambda@Edge is a service that allows you to run Lambda functions at CloudFront edge locations. It can be used to modify requests and responses that flow through CloudFront. CloudFront origin request policy is a policy that controls the values (URL query strings, HTTP headers, and cookies) that are included in requests that CloudFront sends to the origin. It can be used to collect additional information at the origin or to customize the origin response. CloudFront response headers policy is a policy that specifies the HTTP headers that CloudFront removes or adds in responses that it sends to viewers. It can be used to add security or custom headers to responses.
Based on these definitions, the solution that will meet the requirements with the least operational overhead is:
c) Use a Lambda@Edge function with an external image management library. Associate the Lambda@Edge function with the CloudFront behaviors that serve the images.
This solution would allow the application to use a Lambda@Edge function to resize the images dynamically and serve appropriate formats to clients based on the User-Agent HTTP header in the request. The Lambda@Edge function would run at the edge locations, reducing latency and load on the origin. The application code would only need to include an external image management library that can perform image manipulation tasks1.
NEW QUESTION # 794
A company has an e-commerce site. The site is designed as a distributed web application hosted in multiple AWS accounts under one AWS Organizations organization. The web application is comprised of multiple microservices. All microservices expose their AWS services either through Amazon CloudFront distributions or public Application Load Balancers (ALBs). The company wants to protect public endpoints from malicious attacks and monitor security configurations. Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Key Requirements:
* Protect public endpoints (CloudFront distributions and ALBs) from malicious attacks.
* Centralized management across multiple accounts in an organization.
* Ability to monitor security configurations effectively.
* Minimize operational overhead.
Analysis of Options
* Option A:
* AWS WAF: Protects web applications by filtering and blocking malicious requests. Rules can be applied to both ALBs and CloudFront distributions.
* AWS Firewall Manager: Enables centralized management of WAF rules across multiple accounts in an AWS Organizations organization. It simplifies rule deployment, avoiding the need to configure rules individually in each account.
* AWS Config: Monitors compliance by using rules that check Regional and global WAF configurations. Ensures that security configurations align with organizational policies.
* Operational Overhead: Centralized management and automated monitoring reduce the operational burden.
* Correct Approach: Meets all requirements with the least overhead.
* Option B:
* This approach involves applying WAF rules in each account manually.
* While AWS Config and AWS Security Hub provide monitoring capabilities, managing individual WAF configurations in multiple accounts introduces significant operational overhead.
* Incorrect Approach: Higher overhead compared to centralized management with AWS Firewall Manager.
* Option C:
* Similar to Option A but includes Amazon Inspector, which is not designed for monitoring WAF configurations.
* AWS Security Hub is appropriate for monitoring but is redundant when Firewall Manager and Config are already in use.
* Incorrect Approach: Adds unnecessary complexity and does not focus on monitoring WAF specifically.
* Option D:
* AWS Shield Advanced: Focuses on mitigating large-scale DDoS attacks but does not provide the fine-grained web application protection offered by WAF.
* AWS Config: Can monitor Shield Advanced configurations but does not fulfill the WAF monitoring requirements.
* Incorrect Approach: Does not address the need for WAF or centralized rule management.
Why Option A is Correct
* Protection:
* AWS WAF provides fine-grained filtering and protection against SQL injection, cross-site scripting, and other web vulnerabilities.
* Rules can be applied at both ALBs and CloudFront distributions, covering all public endpoints.
* Centralized Management:
* AWS Firewall Manager enables security teams to centrally define and manage WAF rules across all accounts in the organization.
* Monitoring:
* AWS Config ensures compliance with WAF configurations by checking rules and generating alerts for misconfigurations.
* Operational Overhead:
* Centralized management via Firewall Manager and automated compliance monitoring via AWS Config greatly reduce manual effort.
AWS Solution Architect References
* AWS WAF Documentation
* AWS Firewall Manager Documentation
* AWS Config Best Practices
* AWS Organizations Documentation
NEW QUESTION # 795
A company stores telemetry data in Amazon DynamoDB tables. The company creates a new table for every month. The company queries data from the tables for the most recent 12 months several times each week. Data from the previous 12 months must remain instantly available. The company retains tables that are older than 12 months for annual audits but does not access the old data.
The company wants to be able to query tables that are older than 12 months but does not want to incur any ongoing DynamoDB charges for read capacity units (RCUs) or write capacity units (WCUs). The company must optimize storage costs for older data.
Which solutions will meet these requirements? (Choose two.)
Answer: A,B
Explanation:
Converting the most recent 12 months of DynamoDB tables to on-demand capacity mode removes ongoing provisioned RCU and WCU charges while keeping the tables instantly available for frequent queries.
Explanation: Exporting tables that are older than 12 months to Amazon S3 and deleting those DynamoDB tables eliminates ongoing DynamoDB capacity charges for the older data and reduces storage costs. Amazon Athena can query the exported data directly in S3 when the company needs it for annual audits.
NEW QUESTION # 796
A company needs to create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host a digital media streaming application. The EKS cluster will use a managed node group that is backed by Amazon Elastic Block Store (Amazon EBS) volumes for storage. The company must encrypt all data at rest by using a customer managed key that is stored in AWS Key Management Service (AWS KMS) Which combination of actions will meet this requirement with the LEAST operational overhead? (Select TWO.)
Answer: C,D
Explanation:
Explanation
EBS encryption by default is a feature that enables encryption for all new EBS volumes and snapshots created in a Region1. EBS encryption by default uses a service managed key or a customer managed key that is stored in AWS KMS1. EBS encryption by default is suitable for scenarios where data at rest must be encrypted by using a customer managed key, such as the digital media streaming application in the scenario1.
To meet the requirements of the scenario, the solutions architect should enable EBS encryption by default in the AWS Region where the EKS cluster will be created. The solutions architect should select the customer managed key as the default key for encryption1. This way, all new EBS volumes and snapshots created in that Region will be encrypted by using the customer managed key.
EKS encryption provider support is a feature that enables envelope encryption of Kubernetes secrets in EKS with a customer managed key that is stored in AWS KMS2. Envelope encryption means that data is encrypted by data encryption keys (DEKs) using AES-GCM; DEKs are encrypted by key encryption keys (KEKs) according to configuration in AWS KMS3. EKS encryption provider support is suitable for scenarios where secrets must be encrypted by using a customer managed key, such as the digital media streaming application in the scenario2.
To meet the requirements of the scenario, the solutions architect should create the EKS cluster and create an IAM role that has a policy that grants permission to the customer managed key. The solutions architect should associate the role with the EKS cluster2. This way, the EKS cluster can use envelope encryption of Kubernetes secrets with the customer managed key.
NEW QUESTION # 797
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