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The SAA-C03 exam is designed to assess the candidate's understanding of AWS services and how they can be used to design and deploy applications in a cloud environment. SAA-C03 exam consists of 65 multiple-choice and multiple-response questions that must be answered within 130 minutes. The passing score for SAA-C03 Exam is 720 out of a possible 1000 points.

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To prepare for the Amazon SAA-C03 Certification Exam, candidates should have a good understanding of AWS services, architecture, and best practices. They should also have hands-on experience with AWS services and be able to design and deploy scalable, highly available, and fault-tolerant systems on AWS. There are many resources available to help candidates prepare for the exam, including official AWS training courses, practice exams, and study materials.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q169-Q174):

NEW QUESTION # 169
A company is developing an application that provides order shipping statistics for retrieval by a REST API. The company wants to extract the shipping statistics, organize the data into an easy-to-read HTML format, and send the report to several email addresses at the same time every morning.
Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)

A. Store the application data in Amazon S3. Create an Amazon Simple Notification Service (Amazon SNS) topic as an S3 event destination to send the report by
B. Configure the application to send the data to Amazon Kinesis Data Firehose.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Glue job to query the application's API for the data.
D. Use Amazon Simple Email Service (Amazon SES) to format the data and to send the report by email.
E. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Lambda function to query the application's API for the data.

Answer: D,E

Explanation:
https://docs.aws.amazon.com/ses/latest/dg/send-email-formatted.html
1. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Lambda function to query the application's API for the data. This step can be done using AWS Lambda to extract the shipping statistics and organize the data into an HTML format.
2. Use Amazon Simple Email Service (Amazon SES) to format the data and send the report by email. This step can be done by using Amazon SES to send the report to multiple email addresses at the same time every morning.
Therefore, options D and B are the correct choices for this question. Option A is incorrect because Kinesis Data Firehose is not necessary for this use case. Option C is incorrect because AWS Glue is not required to query the application's API. Option E is incorrect because S3 event notifications cannot be used to send the report by email.

NEW QUESTION # 170
A solutions architect needs to ensure that API calls to Amazon DynamoDB from Amazon EC2 instances in a VPC do not travel across the internet.
Which combination of steps should the solutions architect take to meet this requirement? (Choose two.)

A. Create an interface endpoint for Amazon EC2.
B. Create a route table entry for the endpoint.
C. Create an elastic network interface for the endpoint in each of the subnets of the VPC.
D. Create a security group entry in the endpoint's security group to provide access.
E. Create a gateway endpoint for DynamoDB.

Answer: D,E

Explanation:
B and E are the correct answers because they allow the solutions architect to ensure that API calls to Amazon DynamoDB from Amazon EC2 instances in a VPC do not travel across the internet. By creating a gateway endpoint for DynamoDB, the solutions architect can enable private connectivity between the VPC and DynamoDB. By creating a security group entry in the endpoint's security group to provide access, the solutions architect can control which EC2 instances can communicate with DynamoDB through the endpoint.
References:
Gateway Endpoints
Controlling Access to Services with VPC Endpoints

NEW QUESTION # 171
A company uses Amazon S3 to store high-resolution pictures in an S3 bucket. To minimize application changes, the company stores the pictures as the latest version of an S3 object The company needs to retain only the two most recent versions ot the pictures.
The company wants to reduce costs. The company has identified the S3 bucket as a large expense.
Which solution will reduce the S3 costs with the LEAST operational overhead?

A. Use an AWS Lambda function to check for older versions and delete all but the two most recent versions
B. Deactivate versioning on the S3 bucket and retain the two most recent versions.
C. Use S3 Lifecycle to delete expired object versions and retain the two most recent versions.
D. Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions

Answer: C

Explanation:
S3 Lifecycle is a feature that allows you to automate the management of your S3 objects based on predefined rules. You can use S3 Lifecycle to delete expired object versions and retain the two most recent versions by creating a lifecycle configuration rule that applies to all objects in the bucket and specifies the expiration action for noncurrent versions. This way, you can reduce the storage costs of your S3 bucket without requiring any application changes or manual intervention. S3 Lifecycle runs once a day and marks the eligible object versions for deletion. You are no longer charged for the objects that are marked for deletion. S3 Lifecycle is the most cost-effective and simple solution among the options.
B . Use an AWS Lambda function to check for older versions and delete all but the two most recent versions. This option is not optimal because it requires you to write, test, and maintain a custom Lambda function that scans the S3 bucket for older versions and deletes them. This can incur additional costs for Lambda invocations and increase the operational complexity and overhead. Moreover, you need to ensure that your Lambda function has the appropriate permissions and error handling mechanisms to perform the deletion operation.
C . Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions. This option is not ideal because S3 Batch Operations is designed for performing large-scale operations on S3 objects, such as copying, tagging, restoring, or invoking a Lambda function. To use S3 Batch Operations to delete noncurrent object versions, you need to provide a manifest file that lists the object versions that you want to delete. This can be challenging and time-consuming to generate and update. Moreover, S3 Batch Operations charges you for each operation that you perform, which can increase your costs.
D . Deactivate versioning on the S3 bucket and retain the two most recent versions. This option is not feasible because deactivating versioning on an S3 bucket does not delete the existing object versions. Instead, it prevents new versions from being created. Therefore, you still need to delete the older versions manually or use another method to do so. Additionally, deactivating versioning can compromise the data protection and recovery capabilities of your S3 bucket.
Reference:
1 Considering four different replication options for data in Amazon S3 | AWS Storage Blog
2 Using AWS Lambda with Amazon S3 batch operations - AWS Lambda
3 Empty an Amazon S3 bucket with a lifecycle configuration rule
4 Amazon S3 - Lifecycle Management - GeeksforGeeks

NEW QUESTION # 172
A company is developing a monolithic Microsoft Windows based application that will run on Amazon EC2 instances. The application will run long data-processing jobs that must not be in-terrupted. The company has modeled expected usage growth for the next 3 years. The company wants to optimize costs for the EC2 instances during the 3-year growth period.

A. Purchase a Compute Savings Plan with a 3-year commitment. Adjust the hourly commit-ment based on the plan recommendations.
B. Purchase an EC2 Instance Savings Plan with a 3-year commitment. Adjust the hourly com-mitment based on the plan recommendations.
C. Deploy the application on EC2 Spot Instances. Use an Auto Scaling group with a minimum size of 1 to ensure that the application is always running.
D. Purchase a Compute Savings Plan with a 1-year commitment. Renew the purchase and adjust the capacity each year as necessary.

Answer: A

Explanation:
For steady, predictable EC2 usage with potential changes in instance families over time, AWS recommends Savings Plans. Compute Savings Plans "apply to any EC2 instance regardless of region, instance family, operating system, or tenancy," and also apply to AWS Fargate and AWS Lambda, delivering the most flexibility over a multi-year horizon. A 3-year term provides the highest discount among Savings Plans for long-lived workloads. EC2 Instance Savings Plans are limited to a chosen instance family in a region; as needs evolve (e.g., size or family changes), discounts may not fully apply. Spot Instances are not appropriate for long, interruption-sensitive jobs because Spot capacity can be reclaimed with short notice. Therefore, a Compute Savings Plan (3-year) best matches cost optimization with flexibility for growth and changes.
References: AWS Cost Management - Savings Plans (Compute vs. EC2 Instance), EC2 purchasing options guidance, Well-Architected Cost Optimization (choose pricing models to match workload).

NEW QUESTION # 173
A company is building a serverless application to process large video files that users upload. The application performs multiple tasks to process each video file. Processing can take up to 30 minutes for the largest files.
The company needs a scalable architecture to support the processing application.
Which solution will meet these requirements?

A. Store the uploaded video files in Amazon Elastic File System (Amazon EFS). Configure a schedule in Amazon EventBridge Scheduler to invoke an AWS Lambda function periodically to check for new files. Configure the Lambda function to perform all the processing tasks.
B. Store the uploaded video files in Amazon S3. Configure an Amazon S3 event notification to send an event to Amazon EventBridge when a user uploads a new video file. Configure an AWS Step Functions workflow as a target for an EventBridge rule. Use the workflow to manage AWS Fargate tasks to perform the processing tasks.
C. Store the uploaded video files in Amazon Elastic File System (Amazon EFS). Configure an Amazon EFS event notification to start an AWS Step Functions workflow that uses AWS Fargate tasks to perform the processing tasks.
D. Store the uploaded video files in Amazon S3. Configure an Amazon S3 event notification to invoke an AWS Lambda function when a user uploads a new video file. Configure the Lambda function to perform all the processing tasks.

Answer: B

Explanation:
The requirements include:
Scalability: The solution must scale as video files are uploaded.
Long-running tasks: Processing tasks can take up to 30 minutes. AWS Lambda has a maximum execution time of 15 minutes, which rules out options that involve Lambda performing all the processing.
Serverless and event-driven architecture: Ensures cost-effectiveness and high availability.
Analysis of Options:
Option A:
AWS Lambda has a 15-minute timeout, which cannot support tasks that take up to 30 minutes.
EventBridge Scheduler is unnecessary for monitoring files when native event notifications are available.Not a valid choice.
Option B:
AWS Step Functions and AWS Fargate can handle long-running processes, but Amazon EFS is not the ideal storage for uploaded video files in a serverless architecture.
Processing tasks triggered by EFS events are not a common pattern and may introduce complexities.Not the best practice.
Option C:
Amazon S3 is used for storing uploaded files, which integrates natively with event-driven services like EventBridge and Step Functions.
Amazon S3 event notifications trigger a Step Functions workflow, which can orchestrate Fargate tasks to process large video files, meeting the scalability and execution time requirements.Correct choice.
Option D:
Similar to Option A, AWS Lambda cannot handle long-running processes due to its 15-minute timeout.
Invoking Lambda for processing directly is not feasible for tasks that take up to 30 minutes.Not a valid choice.
AWS Reference:
Amazon S3 Event Notifications:AWS Documentation - S3 Event Notifications AWS Step Functions:AWS Documentation - Step Functions AWS Fargate:AWS Documentation - Fargate Comparison of Storage Services:AWS Storage Options By leveragingAmazon S3,Step Functions, andFargate, this solution provides a scalable, efficient, and serverless approach to handling video processing tasks.

NEW QUESTION # 174
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