SAA-C03 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

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Question # 17

A company hosts an application on AWS that stores files that users need to access. The application uses two Amazon EC2 instances. One instance is in Availability Zone A, and the second instance is in Availability Zone B. Both instances use Amazon Elastic Block Store (Amazon EBS) volumes. Users must be able to access the files at any time without delay. Users report that the two instances occasionally contain different versions of the same file. Users occasionally receive HTTP 404 errors when they try to download files. The company must address the customer issues. The company cannot make changes to the application code. Which solution will meet these requirements in the MOST operationally efficient way?

Run the robocopy command on one of the EC2 instances on a schedule to copy files from the Availability Zone A instance to the Availability Zone B instance.

Configure the application to store the files on both EBS volumes each time a user writes or updates a file.

Mount an Amazon Elastic File System (Amazon EFS) file system to the EC2 instances. Copy the files from the EBS volumes to the EFS file system. Configure the application to store files in the EFS file system.

Create an EC2 instance profile that allows the instance in Availability Zone A to access the S3 bucket. Re-associate the instance profile to the instance in Availability Zone B when needed.

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Question # 18

Question:

A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to minimize management overhead and provide automatic scaling based on demand.

Options:

Use a cluster of Amazon EC2 instances. Use AWS Systems Manager to manage the workload.

Implement a serverless architecture that uses AWS Lambda functions.

Use AWS ParallelCluster to deploy a dedicated high-performance cluster.

Implement vertical scaling for each workload task.

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Question # 19

A company has deployed resources in the us-east-1 Region. The company also uses thousands of AWS Outposts servers deployed at remote locations around the world. These Outposts servers regularly download new software versions from us-east-1 that consist of hundreds of files. The company wants to improve the latency of the software download process.

Which solution will meet these requirements?

Create an Amazon S3 bucket in us-east-1. Configure the bucket for static website hosting. Use bucket policies and ACLs to provide read access to the Outposts servers.

Create an Amazon S3 bucket in us-east-1 and a second bucket in us-west-2. Configure replication. Set up a CloudFront distribution with origin failover between the buckets. Download by using signed URLs.

Create an Amazon S3 bucket in us-east-1. Configure S3 Transfer Acceleration. Configure the Outposts servers to download by using the acceleration endpoint.

Create an Amazon S3 bucket in us-east-1. Set up a CloudFront distribution using all edge locations with caching enabled. Configure the bucket as the origin. Download the software by using signed URLs.

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Question # 20

A company has resources across multiple AWS Regions and accounts. A newly hired solutions architect discovers that a previous employee did not provide details about the resources inventory. The solutions architect needs to build and map the relationship details of the various workloads across all accounts.

Which solution will meet these requirements in the MOST operationally efficient way?

Use AWS Systems Manager Inventory to generate a map view from the detailed view report.

Use AWS Step Functions to collect workload details. Build architecture diagrams of the workloads manually.

Use Workload Discovery on AWS to generate architecture diagrams of the workloads.

Use AWS X-Ray to view the workload details. Build architecture diagrams with relationships.

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Question # 21

A company is developing a highly available natural language processing (NLP) application. The application handles large volumes of concurrent requests. The application performs NLP tasks such as entity recognition, sentiment analysis, and key phrase extraction on text data.

The company needs to store data that the application processes in a highly available and scalable database.

Options:

Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.

Create an Amazon API Gateway HTTP API endpoint to handle incoming requests. Configure the HTTP API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Translate to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.

Create an Amazon SQS queue to buffer incoming requests. Deploy the NLP application on Amazon EC2 instances in an Auto Scaling group. Use Amazon Comprehend to perform NLP tasks. Store the processed data in an Amazon RDS database.

Create an Amazon API Gateway WebSocket API endpoint to handle incoming requests. Configure the WebSocket API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Textract to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.

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Question # 22

A company wants to enhance its ecommerce order-processing application that is deployed on AWS. The application must process each order exactly once without affecting the customer experience during unpredictable traffic surges.

Which solution will meet these requirements?

Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Put all the orders in the SQS queue. Configure an AWS Lambda function as the target to process the orders.

Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Publish all the orders to the SNS standard topic. Configure the application as a notification target.

Create a flow by using Amazon AppFlow. Send the orders to the flow. Configure an AWS Lambda function as the target to process the orders.

Configure AWS X-Ray in the application to track the order requests. Configure the application to process the orders by pulling the orders from Amazon CloudWatch.

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Question # 23

A company needs a solution to prevent photos with unwanted content from being uploaded to the companyâ€™s web application. The solution must not involve training a machine learning (ML) model.

Which solution will meet these requirements?

Create and deploy a model by using Amazon SageMaker Autopilot. Create a real-time endpoint that the web application invokes when new photos are uploaded.

Create an AWS Lambda function that uses Amazon Rekognition to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.

Create an Amazon CloudFront function that uses Amazon Comprehend to detect unwanted content. Associate the function with the web application.

Create an AWS Lambda function that uses Amazon Rekognition Video to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.

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Question # 24

A company needs to migrate a MySQL database from an on-premises data center to AWS within 2 weeks. The database is 180 TB in size. The company cannot partition the database.

The company wants to minimize downtime during the migration. The company's internet connection speed is 100 Mbps.

Which solution will meet these requirements?

Order an AWS Snowball Edge Storage Optimized device. Use AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) to migrate the database to Amazon RDS for MySQL and replicate ongoing changes. Send the Snowball Edge device back to AWS to finish the migration. Continue to replicate ongoing changes.

Establish an AWS Site-to-Site VPN connection between the data center and AWS. Use AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) to migrate the database to Amazon RDS tor MySQL and replicate ongoing changes.

Establish a 10 Gbps dedicated AWS Direct Connect connection between the data center and AWS. Use AWS DataSync to replicate the database to Amazon S3. Create a script to import the data from Amazon S3 to a new Amazon RDS for MySQL database instance.

Use the company's existing internet connection. Use AWS DataSync to replicate the database to Amazon S3. Create a script to import the data from Amazon S3 to a new Amazon RDS for MySQL database instance.

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