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Amazon Web Services AWS Certified Associate SAA-C03 New Questions

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Total 1039 questions
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AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

Question 149

A company is running a multi-tier web application on premises. The web application is containerized and runs on a number of Linux hosts connected to a PostgreSQL database that contains user records. The operational overhead of maintaining the infrastructure and capacity planning is limiting the company's growth. A solutions architect must improve the application's infrastructure.

Which combination of actions should the solutions architect take to accomplish this? (Choose two.)

Options:

A.

Migrate the PostgreSQL database to Amazon Aurora

B.

Migrate the web application to be hosted on Amazon EC2 instances.

C.

Set up an Amazon CloudFront distribution for the web application content.

D.

Set up Amazon ElastiCache between the web application and the PostgreSQL database.

E.

Migrate the web application to be hosted on AWS Fargate with Amazon Elastic Container Service (Amazon ECS).

Question 150

A company has a data ingestion workflow that includes the following components:

• An Amazon Simple Notation Service (Amazon SNS) topic that receives notifications about new data deliveries

• An AWS Lambda function that processes and stores the data

The ingestion workflow occasionally fails because of network connectivity issues. When tenure occurs the corresponding data is not ingested unless the company manually reruns the job. What should a solutions architect do to ensure that all notifications are eventually processed?

Options:

A.

Configure the Lambda function (or deployment across multiple Availability Zones

B.

Modify me Lambda functions configuration to increase the CPU and memory allocations tor the (unction

C.

Configure the SNS topic's retry strategy to increase both the number of retries and the wait time between retries

D.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as the on failure destination Modify the Lambda function to process messages in the queue

Question 151

A company owns an asynchronous API that is used to ingest user requests and, based on the request type, dispatch requests to the appropriate microservice for processing. The company is using Amazon API Gateway to deploy the API front end, and an AWS Lambda function that invokes Amazon DynamoDB to store user requests before dispatching them to the processing microservices.

The company provisioned as much DynamoDB throughput as its budget allows, but the company is still experiencing availability issues and is losing user requests.

What should a solutions architect do to address this issue without impacting existing users?

Options:

A.

Add throttling on the API Gateway with server-side throttling limits.

B.

Use DynamoDB Accelerator (DAX) and Lambda to buffer writes to DynamoDB.

C.

Create a secondary index in DynamoDB for the table with the user requests.

D.

Use the Amazon Simple Queue Service (Amazon SQS) queue and Lambda to buffer writes to DynamoDB.

Question 152

A company has a legacy data processing application that runs on Amazon EC2 instances. Data is processed sequentially, but the order of results does not matter. The application uses a monolithicarchitecture. The only way that the company can scale the application to meet increased demand is to increase the size of the instances.

The company's developers have decided to rewrite the application to use a microservices architecture on Amazon Elastic Container Service (Amazon ECS).

What should a solutions architect recommend for communication between the microservices?

Options:

A.

Create an Amazon Simple Queue Service (Amazon SQS) queue. Add code to the data producers, and send data to the queue. Add code to the data consumers to process data from the queue.

B.

Create an Amazon Simple Notification Service (Amazon SNS) topic. Add code to the data producers, and publish notifications to the topic. Add code to the data consumers to subscribe to the topic.

C.

Create an AWS Lambda function to pass messages. Add code to the data producers to call the Lambda function with a data object. Add code to the data consumers to receive a data object that is passed from the Lambda function.

D.

Create an Amazon DynamoDB table. Enable DynamoDB Streams. Add code to the data producers to insert data into the table. Add code to the data consumers to use the DynamoDB Streams API to detect new table entries and retrieve the data.

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Total 1039 questions
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