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SAP-C02 Study Guide: AWS Certified Solutions Architect - Professional (SAP-C02) & SAP-C02 Dumps Torrent & SAP-C02 Latest Dumps

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Candidates preparing for the AWS Certified Solutions Architect - Professional (SAP-C02) exam should have a minimum of two years of experience designing and deploying AWS-based applications. Candidates should also have a deep understanding of AWS services, architecture patterns, and best practices. AWS offers a variety of training courses, practice exams, and hands-on labs to help candidates prepare for the SAP-C02 Exam.

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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Certification Exam is a highly sought-after certification for professionals working in the field of cloud computing. AWS Certified Solutions Architect - Professional (SAP-C02) certification is designed to validate the expertise of individuals in various aspects of AWS architecture, including designing, deploying, and operating complex cloud-based solutions. The SAP-C02 Exam is the most recent version of the AWS Certified Solutions Architect - Professional certification and includes updated content and new exam objectives.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q136-Q141):

NEW QUESTION # 136
A utility company wants to collect usage data every 5 minutes from its smart meters to facilitate time-of-use metering. When a meter sends data to AWS, the data is sent to Amazon API Gateway, processed by an AWS Lambda function. and stored in an Amazon DynamoDB table.
During the pilot phase, the Lambda functions took from 3 to 5 seconds to complete.
As more smart meters are deployed, the engineers notice the Lambda functions are taking from 1 to 2 minutes to complete. The functions are also increasing in duration as new types of metrics are collected from the devices. There are many ProvisionedThroughputExceededException errors while performing PUT operations on DynamoDB, and there are also many TooManyRequestsException errors from Lambda.
Which combination of changes will resolve these issues? (Choose two.)

A. Collect data in an Amazon SQS FIFO queue, which triggers a Lambda function to process each message
B. Increase the payload size from the smart meters to send more data.
C. Increase the write capacity units to the DynamoDB table.
D. Increase the memory available to the Lambda functions.
E. Stream the data into an Amazon Kinesis data stream from API Gateway and process the data in batches.

Answer: C,E

NEW QUESTION # 137
A company is migrating to the cloud. It wants to evaluate the configurations of virtual machines in its existing data center environment to ensure that it can size new Amazon EC2 instances accurately. The company wants to collect metrics, such as CPU. memory, and disk utilization, and it needs an inventory of what processes are running on each instance. The company would also like to monitor network connections to map communications between servers.
Which would enable the collection of this data MOST cost effectively?

A. Use AWS Application Discovery Service and deploy the data collection agent to each virtual machine in the data center.
B. Configure the Amazon CloudWatch agent on all servers within the local environment and publish metrics to Amazon CloudWatch Logs.
C. Use AWS Application Discovery Service and enable agentless discovery in the existing visualization environment.
D. Enable AWS Application Discovery Service in the AWS Management Console and configure the corporate firewall to allow scans over a VPN.

Answer: A

Explanation:
The AWS Application Discovery Service can help plan migration projects by collecting data about on- premises servers, such as configuration, performance, and network connections. The data collection agent is a lightweight software that can be installed on each server to gather this information. This option is more cost- effective than agentless discovery, which requires deploying a virtual appliance in the VMware environment, or using CloudWatch agent, which incurs additional charges for CloudWatch Logs. Scanning the servers over a VPN is not a valid option for AWS Application Discovery Service. References: What is AWS Application Discovery Service?, Data collection methods

NEW QUESTION # 138
A solutions architect wants to cost-optimize and appropriately size Amazon EC2 instances in a single AWS account. The solutions architect wants to ensure that the instances are optimized based on CPU, memory, and network metrics.
Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)

A. Install the Amazon CloudWatch agent and configure memory metric collection on the EC2 instances.
B. Configure AWS Compute Optimizer in the AWS account to receive findings and optimization recommendations.
C. Create an EC2 Instance Savings Plan for the AWS Regions, instance families, and operating systems of interest.
D. Purchase AWS Business Support or AWS Enterprise Support for the account.
E. Turn on AWS Trusted Advisor and review any "Low Utilization Amazon EC2 Instances" recommendations.

Answer: B,E

Explanation:
Explanation
AWS Trusted Advisor is a service that provides real-time guidance to help users provision their resources following AWS best practices1. One of the Trusted Advisor checks is "Low Utilization Amazon EC2 Instances", which identifies EC2 instances that appear to be underutilized based on CPU, network I/O, and disk I/O metrics1. This check can help users optimize the cost and size of their EC2 instances by recommending smaller or more appropriate instance types.
AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of AWS resources and generates optimization recommendations to reduce the cost and improve the performance of workloads2
. Compute Optimizer supports four types of AWS resources: EC2 instances, EBS volumes, ECS services on AWS Fargate, and Lambda functions2. For EC2 instances, Compute Optimizer evaluates the vCPUs, memory, storage, and other specifications, as well as the CPU utilization, network in and out, disk read and write, and other utilization metrics of currently running instances . It then recommends optimal instance types based on price-performance trade-offs.
Option A is incorrect because purchasing AWS Business Support or AWS Enterprise Support for the account will not directly help with cost-optimization and sizing of EC2 instances. However, these support plans do provide access to more Trusted Advisor checks than the basic support plan Option C is incorrect because installing the Amazon CloudWatch agent and configuring memory metric collection on the EC2 instances will not provide any optimization recommendations by itself. However, memory metrics can be used by Compute Optimizer to enhance its recommendations if enabled3.
Option E is incorrect because creating an EC2 Instance Savings Plan for the AWS Regions, instance families, and operating systems of interest will not help with cost-optimization and sizing of EC2 instances. Savings Plans are a flexible pricing model that offer lower prices on Amazon EC2 usage in exchange for a commitment to a consistent amount of usage for a 1- or 3-year term . Savings Plans do not affect the configuration or utilization of EC2 instances.

NEW QUESTION # 139
A Solutions Architect is building a containerized .NET Core application that will run in AWS Fargate. The backend of the application requires Microsoft SQL Server with high availability. All tiers of the application must be highly available. The credentials used for the connection string to SQL Server should not be stored on disk within the .NET Core front-end containers.
Which strategies should the Solutions Architect use to meet these requirements?

A. Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service in Fargate using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
B. Set up SQL Server to run in Fargate with Service Auto Scaling. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server running in Fargate. Specify the ARN of the secret in AWS Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
C. Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create non- persistent empty storage for the .NET Core containers in the Fargate task definition to store the sensitive information. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be written to the non-persistent empty storage on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
D. Create an Auto Scaling group to run SQL Server on Amazon EC2. Create a secret in AWS Secrets Manager for the credentials to SQL Server running on EC2. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server on EC2. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

Answer: A

Explanation:
Secrets Manager natively supports SQL Server on RDS. No real need to create additional
'ephemeral storage' to fetch credentials, as these can be injected to containers as environment variables.
https://aws.amazon.com/premiumsupport/knowledge-center/ecs-data-security-container-task/

NEW QUESTION # 140
A company wants to migrate its website from an on-premises data center onto AWS At the same time it wants to migrate the website to a containerized microservice-based architecture to improve the availability and cost efficiency. The company's security policy states that privileges and network permissions must be configured according to best practice, using least privilege
A solutions architect must create a containerized architecture that meets the security requirements and has deployed the application to an Amazon ECS cluster
What steps are required after the deployment to meet the requirements'? (Select TWO.)

A. Apply security groups to the tasks; and use IAM roles for tasks to access other resources
B. Apply security groups to Amazon EC2 instances and use IAM roles for EC2 instances to access other resources
C. Create tasks using the bridge network mode
D. Create tasks using the awsvpc network mode
E. Apply security groups to the tasks, and pass IAM credentials into the container at launch time to access other resources

Answer: A,D

NEW QUESTION # 141
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