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

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Question # 73

A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary, but the baseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run.

Currently, engineers complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group's desired capacity.

Which solution will meet these requirements with the LEAST operational overhead?

Create a dynamic scaling policy for the Auto Scaling group. Configure the policy to scale based on the CPU utilization metric. Set the target value for the metric to 60%.

Create a scheduled scaling policy for the Auto Scaling group. Set the appropriate desired capacity, minimum capacity, and maximum capacity. Set the recurrence to weekly. Set the start time to 30 minutes before the batch jobs run.

Create a predictive scaling policy for the Auto Scaling group. Configure the policy to scale based on forecast. Set the scaling metric to CPU utilization. Set the target value for the metric to 60%. In the policy, set the instances to pre-launch 30 minutes before the jobs run.

Create an Amazon EventBridge event to invoke an AWS Lambda function when the CPU utilization metric value for the Auto Scaling group reaches 60%. Configure the Lambda function to increase the Auto Scaling group's desired capacity and maximum capacity by 20%.

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Question # 74

A company wants to create an Amazon EMR cluster that multiple teams will use. The company wants to ensure that each team's big data workloads can access only the AWS services that each team needs to interact with. The company does not want the workloads to have access to Instance Metadata Service Version 2 (IMDSv2) on the cluster's underlying EC2 instances.

Which solution will meet these requirements?

Configure interface VPC endpoints for each AWS service that the teams need. Use the required interface VPC endpoints to submit the big data workloads.

Create EMR runtime roles. Configure the cluster to use the runtime roles. Use the runtime roles to submit the big data workloads.

Create an EC2 IAM instance profile that has the required permissions for each team. Use the instance profile to submit the big data workloads.

Create an EMR security configuration that has the EnableApplicationScoped IAM Role option set to false. Use the security configuration to submit the big data workloads.

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Question # 75

A company runs an order management application on AWS. The application allows customers to place orders and pay with a credit card. The company uses an Amazon CloudFront distribution to deliver the application. A security team has set up logging for all incoming requests. The security team needs a solution to generate an alert if any user modifies the logging configuration.

Which combination of solutions will meet these requirements? (Select TWO.)

Configure an Amazon EventBridge rule that is invoked when a user creates or modifies a CloudFront distribution. Add the AWS Lambda function as a target of the EventBridge rule.

Create an Application Load Balancer (ALB). Enable AWS WAF rules for the ALB. Configure an AWS Config rule to detect security violations.

Create an AWS Lambda function to detect changes in CloudFront distribution logging. Configure the Lambda function to use Amazon Simple Notification Service (Amazon SNS) to send notifications to the security team.

Set up Amazon GuardDuty. Configure GuardDuty to monitor findings from the CloudFront distribution. Create an AWS Lambda function to address the findings.

Create a private API in Amazon API Gateway. Use AWS WAF rules to protect the private API from common security problems.

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Question # 76

A company is migrating a large amount of data from on-premises storage to AWS. Windows, Mac, and Linux based Amazon EC2 instances in the same AWS Region will access the data by using SMB and NFS storage protocols. The company will access a portion of the data routinely. The company will access the remaining data infrequently.

The company needs to design a solution to host the data.

Which solution will meet these requirements with the LEAST operational overhead?

Create an Amazon Elastic File System (Amazon EFS) volume that uses EFS Intelligent-Tiering. Use AWS DataSync to migrate the data to the EFS volume.

Create an Amazon FSx for ONTAP instance. Create an FSx for ONTAP file system with a root volume that uses the auto tiering policy. Migrate the data to the FSx for ONTAP volume.

Create an Amazon S3 bucket that uses S3 Intelligent-Tiering. Migrate the data to the S3 bucket by using an AWS Storage Gateway Amazon S3 File Gateway.

Create an Amazon FSx for OpenZFS file system. Migrate the data to the new volume.

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Question # 77

A company provides a trading platform to customers. The platform uses an Amazon API Gateway REST API, AWS Lambda functions, and an Amazon DynamoDB table. Each trade that the platform processes invokes a Lambda function that stores the trade data in Amazon DynamoDB. The company wants to ingest trade data into a data lake in Amazon S3 for near real-time analysis. Which solution will meet these requirements with the LEAST operational overhead?

Use Amazon DynamoDB Streams to capture the trade data changes. Configure DynamoDB Streams to invoke a Lambda function that writes the data to Amazon S3.

Use Amazon DynamoDB Streams to capture the trade data changes. Configure DynamoDB Streams to invoke a Lambda function that writes the data to Amazon Data Firehose. Write the data from Data Firehose to Amazon S3.

Enable Amazon Kinesis Data Streams on the DynamoDB table to capture the trade data changes. Configure Kinesis Data Streams to invoke a Lambda function that writes the data to Amazon S3.

Enable Amazon Kinesis Data Streams on the DynamoDB table to capture the trade data changes. Configure a data stream to be the input for Amazon Data Firehose. Write the data from Data Firehose to Amazon S3.

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Question # 78

A company runs a multi-tier web application that hosts news content. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones and use an Amazon Aurora database.

A solutions architect needs to make the application more resilient to periodic increases in request rates.

Which architecture should the solutions architect implement? (Select TWO.)

Add AWS Shield

Add Aurora Replicas

Add AWS Direct Connect

Add AWS Global Accelerator

Add an Amazon CloudFront distribution in front of the Application Load Balancer

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Question # 79

A company is enhancing the security of its AWS environment, where the company stores a significant amount of sensitive customer data. The company needs a solution that automatically identifies and classifies sensitive data that is stored in multiple Amazon S3 buckets. The solution must automatically respond to data breaches and alert the company's security team through email immediately when noncompliant data is found.

Which solution will meet these requirements?

Use Amazon GuardDuty. Configure an AWS Lambda function to route alerts to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team to the SNS topic.

Use Amazon GuardDuty. Configure an AWS Lambda function to route alerts to an Amazon Simple Queue Service (Amazon SQS) queue. Configure a second Lambda function to periodically poll the SQS queue and to send emails to the security team by using Amazon Simple Email Service (Amazon SES).

Use Amazon Macie. Integrate Amazon EventBridge with Macie, and configure EventBridge to send alerts to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team to the SNS topic.

Use Amazon Macie. Integrate Amazon EventBridge with Macie, and configure EventBridge to route alerts to an Amazon Simple Queue Service (Amazon SQS) queue. Configure an AWS Lambda function to periodically poll the SQS queue and to send alerts to the security team by using Amazon Simple Email Service (Amazon SES).

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Question # 80

A company runs an ecommerce application on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group scales based on CPU utilization metrics. The ecommerce application stores the transaction data in a MySQL 8.0 database that is hosted on a large EC2 instance.

The database's performance degrades quickly as application load increases. The application handles more read requests than write transactions. The company wants a solution that will automatically scale the database to meet the demand of unpredictable read workloads while maintaining high availability.

Use Amazon Redshift with a single node for leader and compute functionality.

Use Amazon RDS with a Single-AZ deployment. Configure Amazon RDS to add reader instances in a different Availability Zone.

Use Amazon Aurora with a Multi-AZ deployment. Configure Aurora Auto Scaling with Aurora Replicas.

Use Amazon ElastiCache (Memcached) with EC2 Spot Instances.

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