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Amazon SAA-C03 Certification Exam is a highly sought-after certification that validates the skills and knowledge of professionals who work with Amazon Web Services (AWS). It is designed for individuals who have experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification exam tests the candidate's ability to architect and deploy secure and robust applications on AWS, and it covers a wide range of topics, including AWS core services, security, database technologies, and networking.

Passing the Amazon SAA-C03 Exam requires a thorough understanding of AWS services and their architecture. It is a challenging exam that tests the candidate's ability to design and implement scalable and reliable solutions on the AWS platform. Candidates who pass the exam are awarded the AWS Certified Solutions Architect - Associate certification, which is recognized globally and can help professionals advance their careers in the cloud computing industry.

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To prepare for the SAA-C03 Exam, you should have a good understanding of AWS services and features, as well as hands-on experience designing and deploying AWS solutions. You can take advantage of various study resources, such as AWS training courses, practice exams, and whitepapers, to enhance your knowledge and skills. You can also join online forums and communities to connect with other AWS professionals and share your experiences and insights.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q699-Q704):

NEW QUESTION # 699
[Design Secure Architectures]
A company needs to save the results from a medical trial to an Amazon S3 repository. The repository must allow a few scientists to add new files and must restrict all other users to read-only access. No users can have the ability to modify or delete any files in the repository. The company must keep every file in the repository for a minimum of 1 year after its creation date.
Which solution will meet these requirements?

Answer: D

Explanation:
In compliance mode, a protected object version can't be overwritten or deleted by any user, including the root user in your AWS account. When an object is locked in compliance mode, its retention mode can't be changed, and its retention period can't be shortened. Compliance mode helps ensure that an object version can't be overwritten or deleted for the duration of the retention period. In governance mode, users can't overwrite or delete an object version or alter its lock settings unless they have special permissions. With governance mode, you protect objects against being deleted by most users, but you can still grant some users permission to alter the retention settings or delete the object if necessary. In Governance mode, Objects can be deleted by some users with special permissions, this is against the requirement.
Compliance:
- Object versions can't be overwritten or deleted by any user, including the root user
- Objects retention modes can't be changed, and retention periods can't be shortened Governance:
- Most users can't overwrite or delete an object version or alter its lock settings
- Some users have special permissions to change the retention or delete the object


NEW QUESTION # 700
A corporation has recruited a new cloud engineer who should not have access to the CompanyConfidential Amazon S3 bucket. The cloud engineer must have read and write permissions on an S3 bucket named AdminTools.
Which IAM policy will satisfy these criteria?

Answer: B

Explanation:
https://docs.amazonaws.cn/en_us/IAM/latest/UserGuide/reference_policies_examples_s3_rw-bucket.html The policy is separated into two parts because the ListBucket action requires permissions on the bucket while the other actions require permissions on the objects in the bucket. You must use two different Amazon Resource Names (ARNs) to specify bucket-level and object-level permissions. The first Resource element specifies arn:aws:s3:::AdminTools for the ListBucket action so that applications can list all objects in the AdminTools bucket.


NEW QUESTION # 701
[Design High-Performing Architectures]
A company is migrating a distributed application to AWS The application serves variable workloads The legacy platform consists of a primary server trial coordinates jobs across multiple compute nodes The company wants to modernize the application with a solution that maximizes resiliency and scalability.
How should a solutions architect design the architecture to meet these requirements?

Answer: C

Explanation:
To maximize resiliency and scalability, the best solution is to use an Amazon SQS queue as a destination for the jobs. This decouples the primary server from the compute nodes, allowing them to scale independently. This also helps to prevent job loss in the event of a failure. Using an Auto Scaling group of Amazon EC2 instances for the compute nodes allows for automatic scaling based on the workload. In this case, it's recommended to configure the Auto Scaling group based on the size of the Amazon SQS queue, which is a better indicator of the actual workload than the load on the primary server or compute nodes. This approach ensures that the application can handle variable workloads, while also minimizing costs by automatically scaling up or down the compute nodes as needed.


NEW QUESTION # 702
A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to minimize management overhead and provide automatic scaling based on demand.
Options:

Answer: D

Explanation:
Comprehensive and Detailed
For workloads where tasks are independent and can be processed in parallel, and where minimizing management overhead is a priority, a serverless architecture using AWS Lambda is ideal.
AWS Lambda allows you to run code without provisioning or managing servers. It automatically scales your application by running code in response to each trigger.
Parallel Processing: Lambda functions can process multiple tasks concurrently, making it suitable for parallel workloads.
Automatic Scaling: Lambda automatically scales by running code in response to each event, scaling precisely with the size of the workload.
Minimal Management Overhead: With Lambda, there's no need to manage the underlying infrastructure, reducing operational complexity.Wikipedia Reference:
AWS Lambda - Run Code Without Thinking About Servers
Best Practices for Designing and Architecting with AWS Lambda


NEW QUESTION # 703
A company runs an application on a large fleet of Amazon EC2 instances. The application reads and write entries into an Amazon DynamoDB table. The size of the DynamoDB table continuously grows, but the application needs only data from the last 30 days. The company needs a solution that minimizes cost and development effort.
Which solution meets these requirements?

Answer: B

Explanation:
Explanation
Amazon DynamoDB Time to Live (TTL) allows you to define a per-item timestamp to determine when an item is no longer needed. Shortly after the date and time of the specified timestamp, DynamoDB deletes the item from your table without consuming any write throughput. TTL is provided at no extra cost as a means to reduce stored data volumes by retaining only the items that remain current for your workload's needs.
TTL is useful if you store items that lose relevance after a specific time. The following are example TTL use cases:
Remove user or sensor data after one year of inactivity in an application.
Archive expired items to an Amazon S3 data lake via Amazon DynamoDB Streams and AWS Lambda.
Retain sensitive data for a certain amount of time according to contractual or regulatory obligations.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html


NEW QUESTION # 704
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