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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.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q250-Q255):

NEW QUESTION # 250
[Design Resilient Architectures]
A company runs a highly available image-processing application on Amazon EC2 instances in a single VPC The EC2 instances run inside several subnets across multiple Availability Zones. The EC2 instances do not communicate with each other However, the EC2 instances download images from Amazon S3 and upload images to Amazon S3 through a single NAT gateway The company is concerned about data transfer charges What is the MOST cost-effective way for the company to avoid Regional data transfer charges?

Answer: D

Explanation:
In this scenario, the company wants to avoid regional data transfer charges while downloading and uploading images from Amazon S3. To accomplish this at the lowest cost, the NAT gateway should be launched in each availability zone that the EC2 instances are running in. This allows the EC2 instances to route traffic through the local NAT gateway instead of sending traffic across an availability zone boundary and incurring regional data transfer fees. This method will help reduce the data transfer costs since inter-Availability Zone data transfers in a single region are free of charge.
Reference:
AWS NAT Gateway documentation:https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-gateway.html


NEW QUESTION # 251
A company has an application that is backed ny an Amazon DynamoDB table. The company's compliance requirements specify that database backups must be taken every month, must be available for 6 months, and must be retained for 7 years.
Which solution will meet these requirements?

Answer: C

Explanation:
This solution satisfies the requirements in the following ways:
* AWS Backup will automatically take full backups of the DynamoDB table on the schedule defined in the backup plan (the first of each month).
* The lifecycle policy can transition backups to cold storage after 6 months, meeting that requirement.
* Setting a 7-year retention period in the backup plan will ensure each backup is retained for 7 years as required.
* AWS Backup manages the backup jobs and lifecycle policies, requiring no custom scripting or management.


NEW QUESTION # 252
A Docker application, which is running on an Amazon ECS cluster behind a load balancer, is heavily using DynamoDB. You are instructed to improve the database performance by distributing the workload evenly and using the provisioned throughput efficiently.
Which of the following would you consider to implement for your DynamoDB table?

Answer: D

Explanation:
The partition key portion of a table's primary key determines the logical partitions in which a table's data is stored. This in turn affects the underlying physical partitions. Provisioned I/O capacity for the table is divided evenly among these physical partitions. Therefore a partition key design that doesn't distribute I/O requests evenly can create "hot" partitions that result in throttling and use your provisioned I/O capacity inefficiently.
The optimal usage of a table's provisioned throughput depends not only on the workload patterns of individual items, but also on the partition-key design. This doesn't mean that you must access all partition key values to achieve an efficient throughput level, or even that the percentage of accessed partition key values must be high. It does mean that the more distinct partition key values that your workload accesses, the more those requests will be spread across the partitioned space. In general, you will use your provisioned throughput more efficiently as the ratio of partition key values accessed to the total number of partition key values increases.
One example for this is the use of partition keys with high-cardinality attributes, which have a large number of distinct values for each item.
Reducing the number of partition keys in the DynamoDB table is incorrect. Instead of doing this, you should actually add more to improve its performance to distribute the I/O requests evenly and not avoid
"hot" partitions.
Using partition keys with low-cardinality attributes, which have a few number of distinct values for each item is incorrect because this is the exact opposite of the correct answer. Remember that the more distinct partition key values your workload accesses, the more those requests will be spread across the partitioned space. Conversely, the less distinct partition key values, the less evenly spread it would be across the partitioned space, which effectively slows the performance.
The option that says: Avoid using a composite primary key, which is composed of a partition key and a sort key is incorrect because as mentioned, a composite primary key will provide more partition for the table and in turn, improves the performance. Hence, it should be used and not avoided. References:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-uniform-load.ht ml
https://aws.amazon.com/blogs/database/choosing-the-right-dynamodb-partition-key/ Check out this Amazon DynamoDB Cheat Sheet:
https://tutorialsdojo.com/amazon-dynamodb/
Amazon DynamoDB Overview:
https://www.youtube.com/watch?v=3ZOyUNIeorU


NEW QUESTION # 253
[Design High-Performing Architectures]
A hospital recently deployed a RESTful API with Amazon API Gateway and AWS Lambda The hospital uses API Gateway and Lambda to upload reports that are in PDF format and JPEG format The hospital needs to modify the Lambda code to identify protected health information (PHI) in the reports Which solution will meet these requirements with the LEAST operational overhead?

Answer: D

Explanation:
To meet the requirements of the company to have access to both AWS and on-premises file storage with minimum latency, a hybrid cloud architecture can be used. One solution is to deploy and configure Amazon FSx for Windows File Server on AWS, which provides fully managed Windows file servers. The on-premises file data can be moved to the FSx File Gateway, which can act as a bridge between on-premises and AWS file storage. The cloud workloads can be configured to use FSx for Windows File Server on AWS, while the on-premises workloads can be configured to use the FSx File Gateway. This solution minimizes operational overhead and requires no significant changes to the existing file access patterns. The connectivity between on-premises and AWS can be established using an AWS Site-to-Site VPN connection.
Reference:
AWS FSx for Windows File Server:https://aws.amazon.com/fsx/windows/
AWS FSx File Gateway:https://aws.amazon.com/fsx/file-gateway/
AWS Site-to-Site VPN:https://aws.amazon.com/vpn/site-to-site-vpn/


NEW QUESTION # 254
A company is moving data from an on-premises data center to the AWS Cloud. The company must store all its data in an Amazon S3 bucket. To comply with regulations, the company must also ensure that the data will be protected against overwriting indefinitely.
Which solution will ensure that the data in the S3 bucket cannot be overwritten?

Answer: B

Explanation:
Versioning in S3 preserves every version of every object - preventing permanent overwrites. This ensures compliance where data cannot be overwritten or lost.
SSE-S3 ensures server-side encryption.
"When you enable versioning, Amazon S3 stores every version of every object. With versioning, you can preserve, retrieve, and restore every version of every object stored in an S3 bucket."
- S3 Versioning
This satisfies regulatory requirements for protecting data from overwriting indefinitely.
Incorrect Options:
* B: Object Lock with retention period is time-bound, not indefinite.
* C: Legal hold blocks deletion but doesn't directly prevent overwriting.
* D: Storage Lens is analytics, not protection.


NEW QUESTION # 255
......

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