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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is designed for IT professionals who want to establish their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) platform. SAA-C03 Exam is intended for individuals who have experience working with AWS services and possess foundational knowledge of AWS cloud computing.

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The Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam (SAA-C03) certification is a requirement if you want to succeed in the Amazon industry quickly. But after deciding to take the SAA-C03 exam, the next challenge you face is the inability to find genuine SAA-C03 Questions for quick preparation. People who don't study with SAA-C03 real dumps fail the test and lose their precious resources.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is designed to validate a candidate's technical skills and knowledge in designing, deploying, and managing scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification is suitable for IT professionals who are seeking a career in cloud computing or those who are already working with AWS and want to enhance their skills and knowledge. SAA-C03 Exam Tests a candidate's ability to design and deploy AWS solutions that meet customer requirements and provide guidance on architectural best practices.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q279-Q284):

NEW QUESTION # 279
A company wants to migrate an Oracle database to AWS. The database consists of a single table that contains millions of geographic information systems (GIS) images that are high resolution and are identified by a geographic code.
When a natural disaster occurs tens of thousands of images get updated every few minutes. Each geographic code has a single image or row that is associated with it. The company wants a solution that is highly available and scalable during such events Which solution meets these requirements MOST cost-effectively?

A. Store the images in Amazon S3 buckets Use Amazon DynamoDB with the geographic code as the key and the image S3 URL as the value
B. Store the images in Amazon S3 buckets Store geographic codes and image S3 URLs in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance.
C. Store the images and geographic codes in an Amazon DynamoDB table Configure DynamoDB Accelerator (DAX) during times of high load
D. Store the images and geographic codes in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance

Answer: A

Explanation:
Amazon S3 is a highly scalable, durable, and cost-effective object storage service that can store millions of images1. Amazon DynamoDB is a fully managed NoSQL database that can handle high throughput and low latency for key-value and document data2. By using S3 to store the images and DynamoDB to store the geographic codes and image S3 URLs, the solution can achieve high availability and scalability during natural disasters. It can also leverage DynamoDB's features such as caching, auto-scaling, and global tables to improve performance and reduce costs2.
A: Store the images and geographic codes in a database table Use Oracle running on an Amazon RDS Multi- AZ DB instance. This solution will not meet the requirement of scalability and cost-effectiveness, as Oracle is a relational database that may not handle large volumes of unstructured data such as images efficiently3. It also involves higher licensing and operational costs than S3 and DynamoDB12.
C: Store the images and geographic codes in an Amazon DynamoDB table Configure DynamoDB Accelerator (DAX) during times of high load. This solution will not meet the requirement of cost-effectiveness, as storing images in DynamoDB will consume more storage space and incur higher charges than storing them in S312.
It will also require additional configuration and management of DAX clusters to handle high load.
D: Store the images in Amazon S3 buckets Store geographic codes and image S3 URLs in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance. This solution will not meet the requirement of scalability and cost-effectiveness, as Oracle is a relational database that may not handle high throughput and low latency for key-value data such as geographic codes efficiently3. It also involves higher licensing and operational costs than DynamoDB2.
Reference URL: https://dynobase.dev/dynamodb-vs-s3/

NEW QUESTION # 280
A company is planning to migrate data to an Amazon S3 bucket The data must be encrypted at rest within the S3 bucket The encryption key must be rotated automatically every year.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS Key Management Service (AWS KMS) customer managed key Enable automatic key rotation Set the S3 bucket's default encryption behavior to use the customer managed KMS key. Migrate the data to the S3 bucket.
B. Use customer key material to encrypt the data Migrate the data to the S3 bucket. Create an AWS Key Management Service (AWS KMS) key without key material Import the customer key material into the KMS key. Enable automatic key rotation.
C. Create an AWS Key Management Service (AWS KMS) customer managed key Set the S3 bucket's default encryption behavior to use the customer managed KMS key. Migrate the data to the S3 bucket. Manually rotate the KMS key every year.
D. Migrate the data to the S3 bucket. Use server-side encryption with Amazon S3 managed keys (SSE-S3). Use the built-in key rotation behavior of SSE-S3 encryption keys.

Answer: A

Explanation:
Understanding the Requirement: The data must be encrypted at rest with automatic key rotation every year, with minimal operational overhead.
Analysis of Options:
SSE-S3: This option provides encryption with S3 managed keys and automatic key rotation but offers less control and flexibility compared to KMS keys.
AWS KMS with Customer Managed Key (automatic rotation): This option offers full control over encryption keys, with AWS KMS handling automatic key rotation, minimizing operational overhead.
AWS KMS with Customer Managed Key (manual rotation): This requires manual intervention for key rotation, increasing operational overhead.
Customer Key Material: This involves more complex management, including importing key material and setting up automatic rotation, which increases operational overhead.
Best Option for Minimal Operational Overhead:
AWS KMS with a customer managed key and automatic rotation provides the needed security and key rotation with minimal operational effort. Setting the S3 bucket's default encryption to use this key ensures all data is encrypted as required.
Reference:
AWS Key Management Service (KMS)
Amazon S3 default encryption

NEW QUESTION # 281
A gaming company wants to launch a new internet-facing application in multiple AWS Regions The application will use the TCP and UDP protocols for communication. The company needs to provide high availability and minimum latency for global users.
Which combination of actions should a solutions architect take to meet these requirements? (Select TWO.)

A. Configure Amazon CloudFront to handle the traffic and route requests to the application in each Region.
B. Configure Amazon Route 53 to use a geolocation routing policy to distribute the traffic.
C. Create external Application Load Balancers in front of the application in each Region.
D. Create internal Network Load Balancers in front of the application in each Region.
E. Create an AWS Global Accelerator accelerator to route traffic to the load balancers in each Region.

Answer: C,E

Explanation:
This combination of actions will provide high availability and minimum latency for global users by using AWS Global Accelerator and Application Load Balancers. AWS Global Accelerator is a networking service that helps you improve the availability, performance, and security of your internet-facing applications by using the AWS global network. It provides two global static public IPs that act as a fixed entry point to your application endpoints, such as Application Load Balancers, in multiple Regions1. Global Accelerator uses the AWS backbone network to route traffic to the optimal regional endpoint based on health, client location, and policies that you configure. It also offers TCP and UDP support, traffic encryption, and DDoS protection2.
Application Load Balancers are external load balancers that distribute incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. They support both HTTP and HTTPS (SSL/TLS) protocols, and offer advanced features such as content-based routing, health checks, and integration with other AWS services3. By creating external Application Load Balancers in front of the application in each Region, you can ensure that the application can handle varying load patterns and scale on demand. By creating an AWS Global Accelerator accelerator to route traffic to the load balancers in each Region, you can leverage the performance, security, and availability of the AWS global network to deliver the best possible user experience.
References: 1: What is AWS Global Accelerator? - AWS Global Accelerator4, Overview section2: Network Acceleration Service - AWS Global Accelerator - AWS5, Why AWS Global Accelerator? section. 3: What is an Application Load Balancer? - Elastic Load Balancing6, Overview section.

NEW QUESTION # 282
A company runs containers in a Kubernetes environment in the company's local data center. The company wants to use Amazon Elastic Kubernetes Service (Amazon EKS) and other AWS managed services Data must remain locally in the company's data center and cannot be stored in any remote site or cloud to maintain compliance Which solution will meet these requirements?

A. Use an AWS Snowmobile in the company's data center
B. Install an AWS Snowball Edge Storage Optimized node in the data center
C. Install an AWS Outposts rack in the company's data center
D. Deploy AWS Local Zones in the company's data center

Answer: C

Explanation:
AWS Outposts is a fully managed service that delivers AWS infrastructure and services to virtually any on-premises or edge location for a consistent hybrid experience. AWS Outposts supports Amazon EKS, which is a managed service that makes it easy to run Kubernetes on AWS and on-premises. By installing an AWS Outposts rack in the company's data center, the company can run containers in a Kubernetes environment using Amazon EKS and other AWS managed services, while keeping the data locally in the company's data center and meeting the compliance requirements. AWS Outposts also provides a seamless connection to the local AWS Region for access to a broad range of AWS services.
Option A is not a valid solution because AWS Local Zones are not deployed in the company's data center, but in large metropolitan areas closer to end users. AWS Local Zones are owned, managed, and operated by AWS, and they provide low-latency access to the public internet and the local AWS Region. Option B is not a valid solution because AWS Snowmobile is a service that transports exabytes of data to AWS using a 45-foot long ruggedized shipping container pulled by a semi-trailer truck. AWS Snowmobile is not designed for running containers or AWS managed services on-premises, but for large-scale data migration. Option D is not a valid solution because AWS Snowball Edge Storage Optimized is a device that provides 80 TB of HDD or 210 TB of NVMe storage capacity for data transfer and edge computing. AWS Snowball Edge Storage Optimized does not support Amazon EKS or other AWS managed services, and it is not suitable for running containers in a Kubernetes environment.
References:
* AWS Outposts - Amazon Web Services
* Amazon EKS on AWS Outposts - Amazon EKS
* AWS Local Zones - Amazon Web Services
* AWS Snowmobile - Amazon Web Services
* [AWS Snowball Edge Storage Optimized - Amazon Web Services]

NEW QUESTION # 283
An investment bank has a distributed batch processing application which is hosted in an Auto Scaling group of Spot EC2 instances with an SQS queue. You configured your components to use client- side buffering so that the calls made from the client will be buffered first and then sent as a batch request to SQS.
What is a period of time during which the SQS queue prevents other consuming components from receiving and processing a message?

A. Receiving Timeout
B. Component Timeout
C. Processing Timeout
D. Visibility Timeout

Answer: D

Explanation:
The visibility timeout is a period of time during which Amazon SQS prevents other consuming components from receiving and processing a message.
When a consumer receives and processes a message from a queue, the message remains in the queue. Amazon SQS doesn't automatically delete the message. Because Amazon SQS is a distributed system, there's no guarantee that the consumer actually receives the message (for example, due to a connectivity issue, or due to an issue in the consumer application). Thus, the consumer must delete the message from the queue after receiving and processing it.
Immediately after the message is received, it remains in the queue. To prevent other consumers from processing the message again, Amazon SQS sets a visibility timeout, a period of time during which Amazon SQS prevents other consumers from receiving and processing the message. The default visibility timeout for a message is 30 seconds. The maximum is 12 hours. References:
https://aws.amazon.com/sqs/faqs/
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-visibility-timeou t.html Check out this Amazon SQS Cheat Sheet:
https://tutorialsdojo.com/amazon-sqs/

NEW QUESTION # 284
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