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Amazon Web Services Updated SAP-C02 Exam Questions and Answers by mathias

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Amazon Web Services SAP-C02 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Professional
Exam Code: SAP-C02 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Professional
Questions: 614 Q&A's Shared By: mathias
Question 36

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:

A.

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.

B.

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.

C.

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.

D.

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 37

A company is running an application in the AWS Cloud. The application collects and stores a large amount of unstructured data in an Amazon S3 bucket. The S3 bucket contains several terabytes of data and uses the S3 Standard storage class. The data increases in size by several gigabytes every day.

The company needs to query and analyze the data. The company does not access data that is more than 1-year-old. However, the company must retain all the data indefinitely for compliance reasons.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Use S3 Select to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.

B.

Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.

C.

Use an AWS Glue Data Catalog and Amazon Athena to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.

D.

Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Intelligent-Tiering.

Discussion
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Question 38

A company uses an organization in AWS Organizations that has multiple AWS accounts. The accounts host multiple resources that are tagged with a CostCenter tag key. The tag value is the name of the team. The company wants to accurately identify the cost of the resources so that the company can charge each team accordingly.

Which solution meets these requirements?

Options:

A.

Activate the CostCenter user-defined tag in the organization's management account. Configure monthly AWS Cost and Usage Reports to save to an Amazon S3 bucket in the management account. Use the tag breakdown in the report to obtain the total cost for the resources that have the CostCenter tag.

B.

Activate the CostCenter user-defined tag in every member account. Configure monthly AWS Cost and Usage Reports to save to an Amazon S3 bucket in the management account. Create an AWS Lambda function that runs monthly to retrieve the reports and calculate the total cost for the resources that have the CostCenter tag.

C.

Activate the CostCenter user-defined tag in every member account. Schedule a monthly AWS Cost and Usage Report from the management account. Use the tag breakdown in the report to calculate the total cost for the resources that have the CostCenter tag.

D.

Customize a report in the AWS Trusted Advisor organization view. Configure the report to generate monthly billing summaries for resources that have the CostCenter tag under the AWS accounts.

Discussion
Question 39

A company runs AWS workloads that are integrated with software as a service (SaaS) applications. The company needs to analyze the SaaS applications to identify unused licenses. Which solution will meet this requirement with the LEAST operational overhead?

Options:

A.

Use AWS License Manager automated discovery to retrieve audit logs from the SaaS applications. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.

B.

Create an AWS Lambda function to retrieve audit logs from the SaaS applications and to store the data in Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.

C.

Use AWS AppFabric to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.

D.

Use AWS App Runner to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.

Discussion
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