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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by solomon

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 1039 Q&A's Shared By: solomon
Question 200

A company has a small Python application that processes JSON documents and outputs the results to an on-premises SQL database. The application runs thousands of times each day. The company wants to move the application to the AWS Cloud. The company needs a highly available solution that maximizes scalability and minimizes operational overhead.

Which solution will meet these requirements?

Options:

A.

Place the JSON documents in an Amazon S3 bucket. Run the Python code on multiple Amazon EC2 instances to process the documents. Store the results in an Amazon Aurora DB cluster

B.

Place the JSON documents in an Amazon S3 bucket. Create an AWS Lambda function that runs the Python code to process the documents as they arrive in the S3 bucket. Store the results in an Amazon Aurora DB cluster.

C.

Place the JSON documents in an Amazon Elastic Block Store (Amazon EBS) volume. Use the EBS Multi-Attach feature to attach the volume to multiple Amazon EC2 instances. Run the Python code on the EC2 instances to process the documents. Store the results on an Amazon RDS DB instance.

D.

Place the JSON documents in an Amazon Simple Queue Service (Amazon SQS) queue as messages Deploy the Python code as a container on an Amazon Elastic Container Service (Amazon ECS) cluster that is configured with the Amazon EC2 launch type. Use the container to process the SQS messages. Store the results on an Amazon RDS DB instance.

Discussion
Question 201

A company is launching a new application that will be hosted on Amazon EC2 instances. A solutions architect needs to design a solution that does not allow public IPv4 access that originates from the internet. However, the solution must allow the EC2 instances to make outbound IPv4 internet requests.

The initial design proposal shows that the EC2 instances would be located in two private subnets across two Availability Zones. The entire architecture must be highly available.

How should the solutions architect change the architecture to meet these requirements?

Options:

A.

Deploy a NAT gateway in public subnets in both Availability Zones. Create and configure one route table for each private subnet.

B.

Deploy an internet gateway in public subnets in both Availability Zones. Create and configure a shared route table for the private subnets.

C.

Deploy a NAT gateway in public subnets in both Availability Zones. Create and configure a shared route table for the private subnets.

D.

Deploy an egress-only internet gateway in public subnets in both Availability Zones. Create and configure one route table for each private subnet.

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Question 202

A company is building a solution that will report Amazon EC2 Auto Scaling events across all the applications in an AWS account. The company needs to use a serverless solution to store the EC2 Auto Scaling status data in Amazon S3. The company then will use the data in Amazon S3 to provide near-real-time updates in a dashboard. The solution must not affect the speed of EC2 instance launches.

How should the company move the data to Amazon S3 to meet these requirements?

Options:

A.

Use an Amazon CloudWatch metric stream to send the EC2 Auto Scaling status data to Amazon Kinesis Data Firehose. Store the data in Amazon S3.

B.

Launch an Amazon EMR cluster to collect the EC2 Auto Scaling status data and send the data to Amazon Kinesis Data Firehose. Store the data in Amazon S3.

C.

Create an Amazon EventBridge rule to invoke an AWS Lambda function on a schedule. Configure the Lambda function to send the EC2 Auto Scaling status data directly to Amazon S3.

D.

Use a bootstrap script during the launch of an EC2 instance to install Amazon Kinesis Agent. Configure Kinesis Agent to collect the EC2 Auto Scaling status data and send the data to Amazon Kinesis Data Firehose. Store the data in Amazon S3.

Discussion
Question 203

A company is subscribed to the AWS Business Support plan. Compliance rules require the company to check on AWS infrastructure health before deployments can proceed. The company needs a programmatic and automated way to check on infrastructure health at the beginning of new deployments.

Which solution will meet these requirements?

Options:

A.

Use the AWS Trusted Advisor API at the start of each deployment. Pause all new deployments if the API returns any issues.

B.

Use the AWS Health API at the start of each deployment. Pause all new deployments if the API returns any issues.

C.

Query the AWS Support API at the start of each deployment. Pause all new deployments if the API returns any open issues.

D.

Send an API call to each workload ahead of deployment. Pause the deployments if the API call fails.

Discussion
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