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Amazon SAA-C03 exam consists of multiple-choice and multiple-response questions and is conducted online via the AWS Certification portal. SAA-C03 exam is 130 minutes long, and candidates are required to score at least 720 out of 1000 to pass. SAA-C03 exam covers a wide range of topics, including AWS storage solutions, compute and networking services, security, and application integration. Candidates must have a solid understanding of these topics to be successful on the exam.
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.
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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is a highly sought-after certification in the field of cloud computing. AWS Certified Solutions Architect - Associate certification is designed for professionals who wish to validate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). SAA-C03 Exam is intended for individuals who have experience with AWS and are looking to advance their skills and knowledge of the AWS platform.
NEW QUESTION # 511
A financial company needs to handle highly sensitive data The company will store the data in an Amazon S3 bucket The company needs to ensure that the data is encrypted in transit and at rest The company must manage the encryption keys outside the AWS Cloud Which solution will meet these requirements?
Answer: D
Explanation:
This option is the only solution that meets the requirements because it allows the company to encrypt the data with its own encryption keys and tools outside the AWS Cloud. By encrypting the data at the company's data center before storing the data in the S3 bucket, the company can ensure that the data is encrypted in transit and at rest, and that the company has full control over the encryption keys and processes. This option also avoids the need to use any AWS encryption services or features, which may not be compatible with the company's security policies or compliance standards.
A: Encrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) customer managed key. This option does not meet the requirements because it does not allow the company to manage the encryption keys outside the AWS Cloud. Although the company can create and use its own customer managed key in AWS KMS, the key is still stored and managed by AWS KMS, which is a service within the AWS Cloud. Moreover, the company still needs to use the AWS encryption features and APIs to encrypt and decrypt the data in the S3 bucket, which may not be compatible with the company's security policies or compliance standards.
B: Encrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) AWS managed key. This option does not meet the requirements because it does not allow the company to manage the encryption keys outside the AWS Cloud. In this option, the company uses the default AWS managed key in AWS KMS, which is created and managed by AWS on behalf of the company. The company has no control over the key rotation, deletion, or recovery policies. Moreover, the company still needs to use the AWS encryption features and APIs to encrypt and decrypt the data in the S3 bucket, which may not be compatible with the company's security policies or compliance standards.
C: Encrypt the data in the S3 bucket with the default server-side encryption (SSE). This option does not meet the requirements because it does not allow the company to manage the encryption keys outside the AWS Cloud. In this option, the company uses the default server-side encryption with Amazon S3 managed keys (SSE-S3), which is applied to every bucket in Amazon S3. The company has no visibility or control over the encryption keys, which are managed by Amazon S3. Moreover, the company still needs to use the AWS encryption features and APIs to encrypt and decrypt the data in the S3 bucket, which may not be compatible with the company's security policies or compliance standards.
References:
1 Protecting data with encryption - Amazon Simple Storage Service
2 Protecting data with server-side encryption - Amazon Simple Storage Service
3 Protecting data by using client-side encryption - Amazon Simple Storage Service
4 AWS Key Management Service Concepts - AWS Key Management Service
NEW QUESTION # 512
A company is using a combination of API Gateway and Lambda for the web services of the online web portal that is being accessed by hundreds of thousands of clients each day. They will be announcing a new revolutionary product and it is expected that the web portal will receive a massive number of visitors all around the globe.
How can you protect the backend systems and applications from traffic spikes?
Answer: B
Explanation:
Amazon API Gateway provides throttling at multiple levels including global and by a service call.
Throttling limits can be set for standard rates and bursts. For example, API owners can set a rate limit of 1000 requests per second for a specific method in their REST APIs, and also configure Amazon API Gateway to handle a burst of 2,000 requests per second for a few seconds.
Amazon API Gateway tracks the number of requests per second. Any requests over the limit will receive a 429 HTTP response. The client SDKs generated by Amazon API Gateway retry calls automatically when met with this response.
Hence, the correct answer is: Use throttling limits in API Gateway.
The option that says: API Gateway will automatically scale and handle massive traffic spikes so you do not have to do anything is incorrect. Although it can scale using AWS Edge locations, you still need to configure the throttling to further manage the bursts of your APIs.
Manually upgrading the EC2 instances being used by API Gateway is incorrect because API Gateway is a fully managed service and hence, you do not have access to its underlying resources.
Deploying Multi-AZ in API Gateway with Read Replica is incorrect because RDS has Multi-AZ and Read Replica capabilities, and not API Gateway.
Explanation:
Reference:
https://aws.amazon.com/api-gateway/faqs/#Throttling_and_Caching
Check out this Amazon API Gateway Cheat Sheet:
https://tutorialsdojo.com/amazon-api-gateway/
NEW QUESTION # 513
A solutions architect needs to implement a solution that can handle up to 5,000 messages per second. The solution must publish messages as events to multiple consumers. The messages are up to 500 KB in size. The message consumers need to have the ability to use multiple programming languages to consume the messages with minimal latency. The solution must retain published messages for more than 3 months. The solution must enforce strict ordering of the messages.
Which solution will meet these requirements?
Answer: B
Explanation:
* A. Kinesis Data Streams: Supports high throughput, strict ordering, multiple consumers, and data retention for 365 days.
* B. SNS + SQS FIFO: Can enforce ordering but lacks native support for 500 KB messages and retention requirements.
* C. EventBridge: Lacks strict ordering and message size compatibility.
* D. SNS + Firehose: Not designed for strict ordering or large message sizes.
References: Amazon Kinesis Data Streams
NEW QUESTION # 514
A solutions architect is designing a system to be highly resilient. The system uses Amazon Route 53 with health checks and an Application Load Balancer (ALB). The system is critical and must have the highest availability possible.
Answer: A
Explanation:
Amazon Route 53 health checks can automatically perform DNS failover to healthy endpoints. When integrated with an Application Load Balancer, this provides a highly resilient system architecture that automatically routes traffic to healthy resources across Regions or endpoints.
From AWS Documentation:
"Route 53 DNS failover automatically routes traffic away from unhealthy resources and directs it to healthy resources that you specify in DNS records." (Source: Amazon Route 53 Developer Guide - DNS Failover) Why B is correct:
* Route 53 health checks automatically monitor endpoint health and switch to a healthy target when the primary endpoint fails.
* The failover process is automatic, with no manual updates to DNS records required.
* Combined with ALB's built-in multi-AZ resilience, this provides maximum availability.
Why others are incorrect:
* A & C: Require manual DNS updates, which are not automatic and introduce latency.
* D: Creating new ALBs during failover increases downtime and is operationally inefficient.
References:
Amazon Route 53 Developer Guide - "Configuring DNS Failover"
AWS Well-Architected Framework - Reliability Pillar
NEW QUESTION # 515
[Design Cost-Optimized Architectures]
A company has two VPCs that are located in the us-west-2 Region within the same AWS account. The company needs to allow network traffic between these VPCs. Approximately 500 GB of data transfer will occur between the VPCs each month.
What is the MOST cost-effective solution to connect these VPCs?
Answer: B
Explanation:
To connect two VPCs in the same Region within the same AWS account, VPC peering is the most cost-effective solution. VPC peering allows direct network traffic between the VPCs without requiring a gateway, VPN connection, or AWS Transit Gateway. VPC peering also does not incur any additional charges for data transfer between the VPCs.
Reference:
What Is VPC Peering?
VPC Peering Pricing
NEW QUESTION # 516
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