Amazon Web Services dumpskey aws Certified Professional Sap-c02 Full Course Free by Zachariah q168 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Professional
Exam Code:	SAP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	683 Q&A's	Shared By:	zachariah

Question 100

A financial services company has an asset management product that thousands of customers use around the world. The customers provide feedback about the product

through surveys. The company is building a new analytical solution that runs on Amazon EMR to analyze the data from these surveys. The following user personas need to access the analytical solution to perform different actions:

• Administrator: Provisions the EMR cluster for the analytics team based on the team ' s requirements

• Data engineer: Runs E TL scripts to process, transform, and enrich the datasets

• Data analyst: Runs SQL and Hive queries on the data

A solutions architect must ensure that all the user personas have least privilege access to only the resources that they need. The user personas must be able to launch only applications that are approved and authorized. The solution also must ensure tagging for all resources that the user personas create.

Which solution will meet these requirements?

Options:

Create IAM roles for each user persona. Attach identity-based policies to define which actions the user who assumes the role can perform. Create an AWSConfig rule to check for noncompliant resources. Configure the rule to notify the administrator to remediate the noncompliant resources.

Set up Kerberos-based authentication for EMR clusters upon launch. Specify a Kerberos security configuration along with cluster-specific Kerberos options.

Use AWS Service Catalog to control the Amazon EMR versions available for deployment, the cluster configuration, and the permissions for each user persona.

Launch the EMR cluster by using AWS CloudFormation. Attach resource-based policies to the EMR cluster during cluster creation. Create an AWS Config rule to check for noncompliant clusters and noncompliant Amazon S3 buckets. Configure the rule to notify the administrator to remediate the noncompliant resources.

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Question 101

A company runs an loT application in the AWS Cloud. The company has millions of sensors that collect data from houses in the United States. The sensors use the MOTT protocol to connect and send data to a custom MQTT broker. The MQTT broker stores the data on a single Amazon EC2 instance. The sensors connect to the broker through the domain named iot.example.com. The company uses Amazon Route 53 as its DNS service. The company stores the data in Amazon DynamoDB.

On several occasions, the amount of data has overloaded the MOTT broker and has resulted in lost sensor data. The company must improve the reliability of the solution.

Which solution will meet these requirements?

Options:

Create an Application Load Balancer (ALB) and an Auto Scaling group for the MOTT broker. Use the Auto Scaling group as the target for the ALB. Update the DNS record in Route 53 to an alias record. Point the alias record to the ALB. Use the MQTT broker to store the data.

Set up AWS loT Core to receive the sensor data. Create and configure a custom domain to connect to AWS loT Core. Update the DNS record in Route 53 to point to the AWS loT Core Data-ATS endpoint. Configure an AWS loT rule to store the data.

Create a Network Load Balancer (NLB). Set the MQTT broker as the target. Create an AWS Global Accelerator accelerator. Set the NLB as the endpoint for the accelerator. Update the DNS record in Route 53 to a multivalue answer record. Set the Global Accelerator IP addresses as values. Use the MQTT broker to store the data.

Set up AWS loT Greengrass to receive the sensor data. Update the DNS record in Route 53 to point to the AWS loT Greengrass endpoint. Configure an AWS loT rule to invoke an AWS Lambda function to store the data.

Discussion

Question 102

A machine learning (ML) company continuously develops new versions of its models. The models are integrated into a web application that uses a RESTful API to call custom Python code to invoke the models. The application runs in an Amazon EC2 Auto Scaling group.

Customer feedback indicates that new model versions sometimes perform worse than previous versions. The company wants to implement a gradual deployment approach in which 10% of traffic is initially routed to new models to verify performance. The solution must also reduce operational overhead for infrastructure management.

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

Options:

Deploy model versions to an Amazon SageMaker AI multi-model endpoint. Configure the weight for the new version to 10% and the previous version to 90%. Migrate the Python code to an AWS Lambda function. Use Amazon API Gateway to invoke the Lambda function.

Deploy each model version to a separate Amazon SageMaker Serverless Inference endpoint. Configure an AWS Lambda function to route 10% of invocation calls to the new endpoint and 90% to the previous version based on weighted random selection. Use Amazon API Gateway to invoke the Lambda function.

Deploy each model version to a separate Amazon SageMaker AI single-model endpoint. Configure an AWS Lambda function to route 10% of invocation calls to the new endpoint ' s URL and 90% to the previous version. Use Amazon API Gateway to invoke the Lambda function.

Deploy model versions to an Amazon SageMaker Serverless Inference endpoint. Use Amazon API Gateway with a canary deployment to gradually shift 10% of traffic to the new model version while maintaining 90% of traffic on the previous version.

Discussion

Question 103

A company hosts a web application on AWS in the us-east-1 Region The application servers are distributed across three Availability Zones behind an Application Load Balancer. The database is hosted in a MySQL database on an Amazon EC2 instance A solutions architect needs to design a Cross-Region data recovery solution using AWS services with an RTO of less than 5 minutes and an RPO of less than 1 minute. The solutions architect is deploying application servers in us-west-2, and has configured Amazon Route 53 hearth checks and DNS failover to us-west-2

Which additional step should the solutions architect take?

Options:

Migrate the database to an Amazon RDS tor MySQL instance with a cross-Region read replica in us-west-2

Migrate the database to an Amazon Aurora global database with the primary in us-east-1 and the secondary in us-west-2

Migrate the database to an Amazon RDS for MySQL instance with a Multi-AZ deployment.

Create a MySQL standby database on an Amazon EC2 instance in us-west-2