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AWS Certified Associate SAA-C03 Reddit Questions

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Total 1186 questions

AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

Question 49

A company has a workload in an AWS Region. Customers connect to and access the workload by using an Amazon API Gateway REST API. The company uses Amazon Route 53 as its DNS provider. The company wants to provide individual and secure URLs for all customers.

Which combination of steps will meet these requirements with the MOST operational efficiency? (Select THREE.)

Options:

A.

Register the required domain in a registrar. Create a wildcard custom domain name in a Route 53 hosted zone and record in the zone that points to the API Gateway endpoint.

B.

Request a wildcard certificate that matches the domains in AWS Certificate Manager (ACM) in a different Region.

C.

Create hosted zones for each customer as required in Route 53. Create zone records that point to the API Gateway endpoint.

D.

Request a wildcard certificate that matches the custom domain name in AWS Certificate Manager (ACM) in the same Region.

E.

Create multiple API endpoints for each customer in API Gateway.

F.

Create a custom domain name in API Gateway for the REST API. Import the certificate from AWS Certificate Manager (ACM).

Question 50

A company designed a stateless two-tier application that uses Amazon EC2 in a single Availability Zone and an Amazon RDS Multi-AZ DB instance New company management wants to ensure the application is highly available.

What should a solutions architect do to meet this requirement?

Options:

A.

Configure the application to use Multi-AZ EC2 Auto Scaling and create an Application Load Balancer

B.

Configure the application to take snapshots of the EC2 instances and send them to a different AWS Region.

C.

Configure the application to use Amazon Route 53 latency-based routing to feed requests to the application.

D.

Configure Amazon Route 53 rules to handle incoming requests and create a Multi-AZ Application Load Balancer

Question 51

An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (Pll). The company wants to use the

data in three applications. Only one of the applications needs to process the Pll. The Pll must be removed before the other two applications process the data.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Store the data in an Amazon DynamoDB table. Create a proxy application layer to intercept and process the data that each application requests.

B.

Store the data in an Amazon S3 bucket. Process and transform the data by using S3 Object Lambda before returning the data to the requesting application.

C.

Process the data and store the transformed data in three separate Amazon S3 buckets so that each application has its own custom dataset. Point each application to its respective S3 bucket.

D.

Process the data and store the transformed data in three separate Amazon DynamoDB tables so that each application has its own custom dataset. Point each application to its respective DynamoDB table.

Question 52

A company has an application that processes customer orders. The company hosts the application on an Amazon EC2 instance that saves the orders to an Amazon Aurora database. Occasionally when traffic is high: the workload does not process orders fast enough.

What should a solutions architect do to write the orders reliably to the database as quickly as possible?

Options:

A.

Increase the instance size of the EC2 instance when traffic is high. Write orders to Amazon Simple Notification Service (Amazon SNS). Subscribe the database endpoint to the SNS topic.

B.

Write orders to an Amazon Simple Queue Service (Amazon SQS) queue. Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database.

C.

Write orders to Amazon Simple Notification Service (Amazon SNS) Subscribe the database endpoint to the SNS topic Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SNS topic.

D.

Write orders to an Amazon Simple Queue Service (Amazon SQS) queue when the EC2 instance reaches CPU threshold limits. Use scheduled scaling of EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database

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Total 1186 questions