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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q740-Q745):

NEW QUESTION # 740
A company uses a legacy application to produce data in CSV format The legacy application stores the output data In Amazon S3 The company is deploying a new commercial off-the-shelf (COTS) application that can perform complex SQL queries to analyze data that is stored Amazon Redshift and Amazon S3 only However the COTS application cannot process the csv files that the legacy application produces The company cannot update the legacy application to produce data in another format The company needs to implement a solution so that the COTS application can use the data that the legacy applicator produces.
Which solution will meet these requirements with the LEAST operational overhead?

A. Develop a Python script that runs on Amazon EC2 instances to convert the. csv files to sql files invoke the Python script on cron schedule to store the output files in Amazon S3.
B. Create a AWS Glue extract, transform, and load (ETL) job that runs on a schedule. Configure the ETL job to process the .csv files and store the processed data in Amazon Redshit.
C. Create an AWS Lambda function and an Amazon DynamoDB table. Use an S3 event to invoke the Lambda function. Configure the Lambda function to perform an extract transform, and load (ETL) job to process the .csv files and store the processed data in the DynamoDB table.
D. Use Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule. Configure the EMR cluster to perform an extract, tractform, and load (ETL) job to process the .csv files and store the processed data in an Amazon Redshift table.

Answer: B

Explanation:
Explanation
This solution meets the requirements of implementing a solution so that the COTS application can use the data that the legacy application produces with the least operational overhead. AWS Glue is a fully managed service that provides a serverless ETL platform to prepare and load data for analytics. AWS Glue can process data in various formats, including .csv files, and store the processed data in Amazon Redshift, which is a fully managed data warehouse service that supports complex SQL queries. AWS Glue can run ETL jobs on a schedule, which can automate the data processing and loading process.
Option B is incorrect because developing a Python script that runs on Amazon EC2 instances to convert the
.csv files to sql files can increase the operational overhead and complexity, and it may not provide consistent data processing and loading for the COTS application. Option C is incorrect because creating an AWS Lambda function and an Amazon DynamoDB table to process the .csv files and store the processed data in the DynamoDB table does not meet the requirement of using Amazon Redshift as the data source for the COTS application. Option D is incorrect because using Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule to process the .csv files and store the processed data in an Amazon Redshift table can increase the operational overhead and complexity, and it may not provide timely data processing and loading for the COTS application.
References:
* https://aws.amazon.com/glue/
* https://aws.amazon.com/redshift/

NEW QUESTION # 741
A survey company has gathered data for several years from areas the United States. The company hosts the data in an Amazon S3 bucket that is 3 TB m size and growing. The company has started to share the data with a European marketing firm that has S3 buckets The company wants to ensure that its data transfer costs remain as low as possible Which solution will meet these requirements?

A. Configure S3 Cross-Region Replication from the company's S3 bucket to one of the marketing firm's S3 buckets.
B. Configure the Requester Pays feature on the company's S3 bucket
C. Configure cross-account access for the marketing firm so that the marketing firm has access to the company's S3 bucket.
D. Configure the company's S3 bucket to use S3 Intelligent-Tiering Sync the S3 bucket to one of the marketing firm's S3 buckets

Answer: B

Explanation:
Explanation
"Typically, you configure buckets to be Requester Pays buckets when you want to share data but not incur charges associated with others accessing the data. For example, you might use Requester Pays buckets when making available large datasets, such as zip code directories, reference data, geospatial information, or web crawling data." https://docs.aws.amazon.com/AmazonS3/latest/userguide/RequesterPaysBuckets.html

NEW QUESTION # 742
A company runs a photo processing application that needs to frequently upload and download pictures from Amazon S3 buckets that are located in the same AWS Region. A solutions architect has noticed an increased cost in data transfer fees and needs to implement a solution to reduce these costs.
How can the solutions architect meet this requirement?

A. Deploy the application Into a public subnet and allow it to route through an internet gateway to access the S3 Buckets
B. Deploy a NAT gateway into a public subnet and attach an end point policy that allows access to the S3 buckets.
C. Deploy Amazon API Gateway into a public subnet and adjust the route table to route S3 calls through It.
D. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets.

Answer: D

Explanation:
The correct answer is Option D. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets. By deploying an S3 VPC gateway endpoint, the application can access the S3 buckets over a private network connection within the VPC, eliminating the need for data transfer over the internet. This can help reduce data transfer fees as well as improve the performance of the application. The endpoint policy can be used to specify which S3 buckets the application has access to.

NEW QUESTION # 743
A company needs to integrate with a third-party data feed. The data feed sends a webhook to notify an external service when new data is ready for consumption. A developer wrote an AWS Lambda function to retrieve data when the company receives a webhook callback. The developer must make the Lambda function available for the third party to call. Which solution will meet these requirements with the MOST operational efficiency?

A. Create a function URL for the Lambda function. Provide the Lambda function URL to the third party for the webhook.
B. Create an Amazon SQS queue. Attach the queue to the Lambda function. Provide the public hostname of the SQS queue to the third party for the webhook.
C. Deploy an Application Load Balancer ALB in front of the Lambda function. Provide the ALB URL to the third party for the webhook.
D. Create an Amazon SNS topic. Attach the topic to the Lambda function. Provide the public hostname of the SNS topic to the third party for the webhook.

Answer: A

Explanation:
AWS Lambda function URLs are specifically designed to give a Lambda function a simple direct HTTP(S) endpoint. AWS documentation describes function URLs as a straightforward way to invoke a Lambda function through an HTTP request, and AWS even provides a webhook tutorial built around Lambda function URLs. That makes this the most operationally efficient option because it avoids placing an ALB in front of the function or building an unnecessary messaging layer with SNS or SQS. The requirement is simply to expose the Lambda function so a third party can call it through a webhook. Function URLs are the lightest-weight AWS-native feature for that use case and provide the fastest path from webhook sender to function execution.

NEW QUESTION # 744
A global ecommerce company is designing a three-tier application on AWS. The application includes a web tier that serves static content, an application tier that handles business logic, and a database tier that stores product information and user data. The application interacts with a relational database.
The company needs a highly available application architecture to serve global users with low latency, with the least operational overhead.
Which solution will meet these requirements?

A. Set up an Amazon CloudFront distribution that uses an Amazon S3 bucket as the origin. Use Amazon Elastic Container Service (Amazon ECS) containers on AWS Fargate to deploy the application tier to each AWS Region where the company operates. Use an Amazon Aurora global database for the database tier.
B. Deploy Amazon EC2 instances in an Auto Scaling group for the application tier and web tier in a single AWS Region. Use an Application Load Balancer to distribute web traffic. Use an Amazon RDS database and Multi-AZ deployments for the database tier.
C. Use an Amazon S3 bucket to store static web content. Use AWS Lambda functions to handle serverless backend logic in the application tier. Use Amazon API Gateway to invoke the Lambda functions for web requests. Use an Amazon DynamoDB database for the database tier. Deploy the DynamoDB database across multiple AWS Regions.
D. Use an Amazon S3 bucket to store the static web content. Use Amazon EC2 Auto Scaling and EC2 Spot Instances for the application tier. Use Amazon RDS for MySQL with read replicas for the database tier. Use AWS Database Migration Service (AWS DMS) to replicate data to secondary AWS Regions.

Answer: A

NEW QUESTION # 745
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