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

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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: 1093 Q&A's Shared By: chaim
Question 164

A company has implemented a self-managed DNS solution on three Amazon EC2 instances behind a Network Load Balancer (NLB) in the us-west-2 Region. Most of the company's users are located in the United States and Europe. The company wants to improve the performance and availability of the solution. The company launches and configures three EC2 instances in the eu-west-1 Region and adds the EC2 instances as targets for a new NLB.

Which solution can the company use to route traffic to all the EC2 instances?

Options:

A.

Create an Amazon Route 53 geolocation routing policy to route requests to one of the two NLBs. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.

B.

Create a standard accelerator in AWS Global Accelerator. Create endpoint groups in us-west-2 and eu-west-1. Add the two NLBs as endpoints for the endpoint groups.

C.

Attach Elastic IP addresses to the six EC2 instances. Create an Amazon Route 53 geolocation routing policy to route requests to one of the six EC2 instances. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.

D.

Replace the two NLBs with two Application Load Balancers (ALBs). Create an Amazon Route 53 latency routing policy to route requests to one of the two ALBs. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.

Discussion
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Question 165

A company is developing a new application that will run on Amazon EC2 instances. The application needs to access multiple AWS services.

The company needs to ensure that the application will not use long-term access keys to access AWS services.

Options:

A.

Create an IAM user. Assign the IAM user to the application. Create programmatic access keys for the IAM user. Embed the access keys in the application code.

B.

Create an IAM user that has programmatic access keys. Store the access keys in AWS Secrets Manager. Configure the application to retrieve the keys from Secrets Manager when the application runs.

C.

Create an IAM role that can access AWS Systems Manager Parameter Store. Associate the role with each EC2 instance profile. Create IAM access keys for the AWS services, and store the keys in Parameter Store. Configure the application to retrieve the keys from Parameter Store when the application runs.

D.

Create an IAM role that has permissions to access the required AWS services. Associate the IAM role with each EC2 instance profile.

Discussion
Question 166

A company launches a new web application that uses an Amazon Aurora PostgreSQL database. The company wants to add new features to the application that rely on AI. The company requires vector storage capability to use AI tools.

Which solution will meet this requirement MOST cost-effectively?

Options:

A.

Use Amazon OpenSearch Service to create an OpenSearch service. Configure the application to write vector embeddings to a vector index.

B.

Create an Amazon DocumentDB cluster. Configure the application to write vector embeddings to a vector index.

C.

Create an Amazon Neptune ML cluster. Configure the application to write vector embeddings to a vector graph.

D.

Install the pgvector extension on the Aurora PostgreSQL database. Configure the application to write vector embeddings to a vector table.

Discussion
Question 167

A developer is creating a serverless application that performs video encoding. The encoding process runs as background jobs and takes several minutes to encode each video. The process must not send an immediate result to users.

The developer is using Amazon API Gateway to manage an API for the application. The developer needs to run test invocations and request validations. The developer must distribute API keys to control access to the API.

Which solution will meet these requirements?

Options:

A.

Create an HTTP API. Create an AWS Lambda function to handle the encoding jobs. Integrate the function with the HTTP API. Use the Event invocation type to call the Lambda function.

B.

Create a REST API with the default endpoint type. Create an AWS Lambda function to handle the encoding jobs. Integrate the function with the REST API. Use the Event invocation type to call the Lambda function.

C.

Create an HTTP API. Create an AWS Lambda function to handle the encoding jobs. Integrate the function with the HTTP API. Use the RequestResponse invocation type to call the Lambda function.

D.

Create a REST API with the default endpoint type. Create an AWS Lambda function to handle the encoding jobs. Integrate the function with the REST API. Use the RequestResponse invocation type to call the Lambda function.

Discussion
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