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Amazon SAA-C03 Certification Exam covers a wide range of topics, including AWS core services, security, networking, databases, storage, deployment, and management. Passing SAA-C03 exam demonstrates an individual's ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is recognized by many organizations and is a valuable asset for IT professionals who want to advance their careers in cloud computing.

Holding the Amazon SAA-C03 Certification demonstrates that an individual has the skills and knowledge required to design and deploy highly available and fault-tolerant systems on AWS. It is a valuable certification for professionals looking to advance their career in the cloud computing industry and is highly regarded by employers.

Earning the Amazon SAA-C03 Certification provides IT professionals with a competitive edge in the job market and validates their skills in designing and deploying reliable and scalable solutions on the AWS platform. AWS Certified Solutions Architect - Associate certification is recognized globally and is highly sought-after by organizations looking for skilled professionals to manage their AWS infrastructure.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q726-Q731):

NEW QUESTION # 726
[Design Secure Architectures]
A company is migrating a large amount of data from on-premises storage to AWS. Windows, Mac, and Linux based Amazon EC2 instances in the same AWS Region will access the data by using SMB and NFS storage protocols. The company will access a portion of the data routinely. The company will access the remaining data infrequently.
The company needs to design a solution to host the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon Elastic File System (Amazon EFS) volume that uses EFS Intelligent-Tiering. Use AWS DataSync to migrate the data to the EFS volume.
B. Create an Amazon FSx for ONTAP instance. Create an FSx for ONTAP file system with a root volume that uses the auto tiering policy. Migrate the data to the FSx for ONTAP volume.
C. Create an Amazon FSx for OpenZFS file system. Migrate the data to the new volume.
D. Create an Amazon S3 bucket that uses S3 Intelligent-Tiering. Migrate the data to the S3 bucket by using an AWS Storage Gateway Amazon S3 File Gateway.

Answer: B

Explanation:
Amazon FSx for ONTAP supports both NFS and SMB protocols and includes automated tiering between SSD and capacity pool storage, optimizing cost and performance. It is ideal for mixed operating systems and varied access patterns with minimal administrative overhead.

NEW QUESTION # 727
A manufacturing company has machine sensors that upload .csv files to an Amazon S3 bucket. These .csv files must be converted into images and must be made available as soon as possible for the automatic generation of graphical reports.
The images become irrelevant after 1 month, but the .csv files must be kept to train machine learning (ML) models twice a year. The ML trainings and audits are planned weeks in advance.
Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

A. Create S3 Lifecycle rules for .csv files and image files in the S3 bucket. Transition the .csv files from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) 1 day after they are uploaded. Expire the image files after 30 days.
B. Create S3 Lifecycle rules for .csv files and image files in the S3 bucket. Transition the .csv files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 1 day after they are uploaded. Keep the image files in Reduced Redundancy Storage (RRS).
C. Launch an Amazon EC2 Spot Instance that downloads the .csv files every hour, generates the image files, and uploads the images to the S3 bucket.
D. Design an AWS Lambda function that converts the .csv files into images and stores the images in the S3 bucket. Invoke the Lambda function when a .csv file is uploaded.
E. Create S3 Lifecycle rules for .csv files and image files in the S3 bucket. Transition the .csv files from S3 Standard to S3 Glacier 1 day after they are uploaded. Expire the image files after 30 days.

Answer: D,E

Explanation:
These answers are correct because they meet the requirements of converting the .csv files into images, making them available as soon as possible, and minimizing the storage costs. AWS Lambda is a service that lets you run code without provisioning or managing servers. You can use AWS Lambda to design a function that converts the .csv files into images and stores the images in the S3 bucket. You can invoke the Lambda function when a .csv file is uploaded to the S3 bucket by using an S3 event notification. This way, you can ensure that the images are generated and made available as soon as possible for the graphical reports. S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle. You can create S3 Lifecycle rules for .csv files and image files in the S3 bucket to transition them to different storage classes or expire them based on your business needs. You can transition the .csv files from S3 Standard to S3 Glacier 1 day after they are uploaded, since they are only needed twice a year for ML trainings and audits that are planned weeks in advance. S3 Glacier is a storage class for data archiving that offers secure, durable, and extremely low-cost storage with retrieval times ranging from minutes to hours. You can expire the image files after 30 days, since they become irrelevant after 1 month.
Reference:
https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/NotificationHowTo.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html#sc-glacier

NEW QUESTION # 728
A company is deploying a new public web application toAWS. The application Will run behind an Application Load Balancer (ALE). The application needs to be encrypted at the edge with an SSL/TLS certificate that is issued by an external certificate authority (CA). The certificate must be rotated each year before the certificate expires.
What should a solutions architect do to meet these requirements?

A. Use AWS Certificate Manager (ACM) to issue an SSUTLS certificate. Apply the certificate to the ALB Use the managed renewal feature to automatically rotate the certificate.
B. Use AWS Private Certificate Authority to issue an SSL/TLS certificate from the root C
C. Use AWS Certificate Manager (ACM) to import an SSL/TLS certificate. Apply the certificate to the ALB_ Use Amazon EventBridge to send a notification when the certificate is nearing expiration. Rotate the certificate manually.
D. Use AWS Certificate Manager (ACM) to issue an SSUTLS certificate_ Import the key material from the certificate. Apply the certificate to the ALB Use the managed renewal teature to automatically rotate the certificate.
E. Apply the certificate to the ALB. use the managed renewal feature to automatically rotate the certificate

Answer: E

Explanation:
To use an SSL/TLS certificate that is issued by an external CA, the certificate must be imported to AWS Certificate Manager (ACM). ACM can send a notification when the certificate is nearing expiration, but it cannot automatically rotate the certificate. Therefore, the certificate must be rotated manually by importing a new certificate and applying it to the ALB.
Reference:
Importing Certificates into AWS Certificate Manager
Renewing and Rotating Imported Certificates
Using an ACM Certificate with an Application Load Balancer

NEW QUESTION # 729
A company's expense tracking application gives users the ability to upload images of receipts. The application analyzes the receipts to extract information and stores the raw images in Amazon S3. The application is written in Java and runs on Amazon EC2 On-Demand Instances in an Auto Scaling group behind an Application Load Balancer.
The compute costs and storage costs have increased with the popularity of the application.
Which solution will provide the MOST cost savings without affecting application performance?

A. Decrease the minimum number of EC2 instances in the Auto Scaling group. Use On-Demand Instances for peak scaling. Store the uploaded files in Amazon Elastic File System (Amazon EFS).
B. Decrease the maximum number of EC2 instances in the Auto Scaling group. Set up S3 Lifecycle policies to archive the raw images to lower-cost storage tiers after 30 days.
C. Purchase a Compute Savings Plan for the minimum number of necessary EC2 instances. Use On- Demand Instances for peak scaling. Set up S3 Lifecycle policies to archive the raw images to lower- cost storage tiers after 30 days.
D. Purchase a Compute Savings Plan for the maximum number of necessary EC2 instances. Store the uploaded files in Amazon Elastic File System (Amazon EFS).

Answer: C

Explanation:
Purchasing a Compute Savings Plan for the minimum baseline usage ensures cost savings. Using On-Demand Instances for peak times ensures flexibility without over-provisioning. S3 Lifecycle policies enable automatic transition of objects to lower-cost storage classes such as S3 Glacier orS3 Intelligent-Tiering, further reducing storage costs.
Reference: AWS Documentation - Savings Plans and S3 Lifecycle Management

NEW QUESTION # 730
A company wants to rearchitect a large-scale web application to a serverless microservices architecture. The application uses Amazon EC2 instances and is written in Python.
The company selected one component of the web application to test as a microservice. The component supports hundreds of requests each second. The company wants to create and test the microservice on an AWS solution that supports Python. The solution must also scale automatically and require minimal infrastructure and minimal operational support.
Which solution will meet these requirements?

A. Use an AWS Lambda function that runs custom developed code.
B. Use an AWS Elastic Beanstalk web server environment that has high availability configured.
C. Use Amazon Elastic Kubernetes Service (Amazon EKS). Launch Auto Scaling groups of self-managed EC2 instances.
D. Use a Spot Fleet with auto scaling of EC2 instances that run the most recent Amazon Linux operating system.

Answer: A

Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You can use Lambda to create and test microservices that are written in Python or other supported languages. Lambda scales automatically to handle the number of requests per second. You only pay for the compute time you consume. Lambda also integrates with other AWS services, such as Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon SQS, to enable event-driven architectures. Lambda has minimal infrastructure and operational overhead, as you do not need to manage servers, operating systems, patches, or scaling policies.
The other options are not serverless solutions and require more infrastructure and operational support. They also do not scale automatically to handle the number of requests per second. A Spot Fleet is a collection of EC2 instances that run on spare capacity at low prices. However, Spot Instances can be interrupted by AWS at any time, which can affect the availability and performance of your microservice. AWS Elastic Beanstalk is a service that automates the deployment and management of web applications on EC2 instances. However, you still need to provision, configure, and monitor the underlying EC2 instances and load balancers. Amazon EKS is a service that runs Kubernetes on AWS. However, you still need to create, configure, and manage the EC2 instances that form the Kubernetes cluster and nodes. You also need to install and update the Kubernetes software and tools.
Reference:
What is AWS Lambda?
Building Lambda functions with Python
Create a layer for a Lambda Python function
AWS Lambda - Function in Python
How do I call my AWS Lambda function from a local python script?

NEW QUESTION # 731
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