Amazon Web Services freetechexam full Access Saa-c03 Tutorials by Delia q281 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	576 Q&A's	Shared By:	delia

Question 108

A solutions architect needs to optimize a large data analytics job that runs on an Amazon EMR cluster. The job takes 13 hours to finish. The cluster has multiple core nodes and worker nodes deployed on large, compute-optimized instances.

After reviewing EMR logs, the solutions architect discovers that several nodes are idle for more than 5 hours while the job is running. The solutions architect needs to optimize cluster performance.

Which solution will meet this requirement MOST cost-effectively?

Options:

Increase the number of core nodes to ensure there is enough processing power to handle the analytics job without any idle time.

Use the EMR managed scaling feature to automatically resize the cluster based on workload.

Migrate the analytics job to a set of AWS Lambda functions. Configure reserved concurrency for the functions.

Migrate the analytics job core nodes to a memory-optimized instance type to reduce the total job runtime.

Discussion

Question 109

A company runs a critical Amazon RDS for MySQL DB instance in a single Availability Zone. The company must improve the availability of the DB instance.

Which solution will meet this requirement?

Options:

Configure the DB instance to use a multi-Region DB instance deployment.

Create an Amazon Simple Queue Service (Amazon SQS) queue in the AWS Region where the company hosts the DB instance to manage writes to the DB instance.

Configure the DB instance to use a Multi-AZ DB instance deployment.

Create an Amazon Simple Queue Service (Amazon SQS) queue in a different AWS Region than the Region where the company hosts the DB instance to manage writes to the DB instance.

Discussion

Question 110

A company tracks customer satisfaction by using surveys that the company hosts on its website. The surveys sometimes reach thousands of customers every hour. Survey results are currently sent in email messages to the company so company employees can manually review results and assess customer sentiment.

The company wants to automate the customer survey process. Survey results must be available for the previous 12 months.

Which solution will meet these requirements in the MOST scalable way?

Options:

Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Create an AWS Lambda function to poll the SQS queue, call Amazon Comprehend for sentiment analysis, and save the results to an Amazon DynamoDB table. Set the TTL for all records to 365 days in the future.

Send the survey results data to an API that is running on an Amazon EC2 instance. Configure the API to store the survey results as a new record in an Amazon DynamoDB table, call Amazon Comprehend for sentiment analysis, and save the results in a second DynamoDB table. Set the TTL for all records to 365 days in the future.

Write the survey results data to an Amazon S3 bucket. Use S3 Event Notifications to invoke an AWS Lambda function to read the data and call Amazon Rekognition for sentiment analysis. Store the sentiment analysis results in a second S3 bucket. Use S3 Lifecycle policies on each bucket to expire objects after 365 days.

Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke an AWS Lambda function that calls Amazon Lex for sentiment analysis and saves the results to an Amazon DynamoDB table. Set the TTL for all records to 365 days in the future.

Discussion

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Question 111

A company wants to implement a data lake in the AWS Cloud. The company must ensure that only specific teams have access to sensitive data in the data lake. The company must have row-level access control for the data lake.

Options:

Options:

Use Amazon RDS to store the data. Use IAM roles and permissions for data governance and access control.

Use Amazon Redshift to store the data. Use IAM roles and permissions for data governance and access control.

Use Amazon S3 to store the data. Use AWS Lake Formation for data governance and access control.

Use AWS Glue Catalog to store the data. Use AWS Glue DataBrew for data governance and access control.