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

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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: 879 Q&A's Shared By: kitty
Question 80

A company moved its on-premises PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. The company successfully launched a new product. The workload on the database has increased.

The company wants to accommodate the larger workload without adding infrastructure.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Buy reserved DB instances for the total workload. Make the Amazon RDS for PostgreSQL DB instance larger.

B.

Make the Amazon RDS for PostgreSQL DB instance a Multi-AZ DB instance.

C.

Buy reserved DB instances for the total workload. Add another Amazon RDS for PostgreSQL DB instance.

D.

Make the Amazon RDS for PostgreSQL DB instance an on-demand DB instance.

Discussion
Question 81

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.

Discussion
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Question 82

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

Discussion
Question 83

A company has a popular gaming platform running on AWS. The application is sensitive to latency because latency can impact the user experience and introduce unfair advantages to some players. The application is deployed in every AWS Region. It runs on Amazon EC2 instances that are part of Auto Scaling groups configured behind Application Load Balancers (ALBs). A solutions architect needs to implement a mechanism to monitor the health of the application and redirect traffic to healthy endpoints.

Which solution meets these requirements?

Options:

A.

Configure an accelerator in AWS Global Accelerator. Add a listener for the port that the application listens on, and attach it to a Regional endpoint in each Region. Add the ALB as the endpoint.

B.

Create an Amazon CloudFront distribution and specify the ALB as the origin server. Configure the cache behavior to use origin cache headers. Use AWS Lambda functions to optimize the traffic.

C.

Create an Amazon CloudFront distribution and specify Amazon S3 as the origin server. Configure the cache behavior to use origin cache headers. Use AWS Lambda functions to optimize the traffic.

D.

Configure an Amazon DynamoDB database to serve as the data store for the application. Create a DynamoDB Accelerator (DAX) cluster to act as the in-memory cache for DynamoDB hosting the application data.

Discussion
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