SAP-C02 EXAM SAMPLE - SAP-C02 PASS LEADER DUMPS

SAP-C02 Exam Sample - SAP-C02 Pass Leader Dumps

SAP-C02 Exam Sample - SAP-C02 Pass Leader Dumps

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Achieving the AWS Certified Solutions Architect - Professional certification demonstrates a high level of technical expertise and knowledge in designing and deploying AWS-based systems and applications. It is a valuable credential that can help IT professionals to advance their careers and gain recognition as an expert in the field of cloud computing.

Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) certification exam is designed for individuals who aspire to demonstrate their advanced skills and expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is intended for professionals who have already obtained the AWS Certified Solutions Architect - Associate certification and have significant experience designing and deploying cloud-based solutions on AWS.

The AWS Certified Solutions Architect - Professional (SAP-C02) exam covers a wide range of topics, including AWS services and their integration, AWS architecture best practices, disaster recovery and business continuity, migration strategies, and security best practices. SAP-C02 Exam also tests the candidate's knowledge of AWS cost optimization, deployment and management, and troubleshooting.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q553-Q558):

NEW QUESTION # 553
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. Purchase AWS Business Support or AWS Enterprise Support for the account.
  • C. Configure AWS Compute Optimizer in the AWS account to receive findings and optimization recommendations.
  • D. Create an EC2 Instance Savings Plan for the AWS Regions, instance families, and operating systems of interest.
  • E. Turn on AWS Trusted Advisor and review any "Low Utilization Amazon EC2 Instances" recommendations.

Answer: C,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 instances3. 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 plan1.
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 term4. Savings Plans do not affect the configuration or utilization of EC2 instances.


NEW QUESTION # 554
A company runs many workloads on AWS and uses AWS Organizations to manage its accounts.
The workloads are hosted on Amazon EC2. AWS Fargate. and AWS Lambda. Some of the workloads have unpredictable demand. Accounts record high usage in some months and low usage in other months.
The company wants to optimize its compute costs over the next 3 years. A solutions architect obtains a 6-month average for each of the accounts across the organization to calculate usage.
Which solution will provide the MOST cost savings for all the organization's compute usage?

  • A. Purchase a Compute Savings Plan for the organization from the management account by using the recommendation at the management account level.
  • B. Purchase Reserved Instances for each member account that had high EC2 usage according to the data from the last 6 months.
  • C. Purchase an EC2 Instance Savings Plan for each member account from the management account based on EC2 usage data from the last 6 months.
  • D. Purchase Reserved Instances for the organization to match the size and number of the most common EC2 instances from the member accounts.

Answer: A

Explanation:
Compute savings plan supports EC2, Fargate and Lambda. Applied in Organization's management account.


NEW QUESTION # 555
An ecommerce company runs an application on AWS. The application has an Amazon API Gateway API that invokes an AWS Lambda function. The data is stored in an Amazon RDS for PostgreSQL DB instance.
During the company's most recent flash sale, a sudden increase in API calls negatively affected the application's performance. A solutions architect reviewed the Amazon CloudWatch metrics during that time and noticed a significant increase in Lambda invocations and database connections. The CPU utilization also was high on the DB instance.
What should the solutions architect recommend to optimize the application's performance?

  • A. Increase the memory of the Lambda function. Modify the Lambda function to close the database connections when the data is retrieved.
  • B. Modify the Lambda function to connect to the database outside of the function's handler. Check for an existing database connection before creating a new connection.
  • C. Add an Amazon ElastiCache for Redis cluster to store the frequently accessed data from the RDS database.
  • D. Create an RDS proxy by using the Lambda console. Modify the Lambda function to use the proxy endpoint.

Answer: D

Explanation:
This option will optimize the application's performance by reducing the overhead of opening and closing database connections for each Lambda invocation. An RDS proxy is a fully managed database proxy for Amazon RDS that makes applications more scalable, more resilient to database failures, and more secure1. It allows applications to pool and share connections established with the database, improving database efficiency and application scalability1. By creating an RDS proxy by using the Lambda console, you can easily configure your Lambda function to use the proxy endpoint instead of the direct database endpoint2.
This will enable your Lambda function to reuse existing connections from the proxy's connection pool, reducing the latency and CPU utilization caused by establishing new connections for each invocation. It will also prevent connection saturation or exhaustion on the database, which can degrade performance or cause errors3.


NEW QUESTION # 556
A company is using AWS CloudFormation to deploy its infrastructure. The company is concerned that if a production CloudFormation stack is deleted, important data stored in Amazon RD5 databases or Amazon EBS volumes might also be deleted.
now can the company prevent users from accidentally deleting data m this way?

  • A. Modify the CloudFormation templates to add a DeletionPolicy attribute to RDS and EBS resources.
  • B. Modify IAM policies to deny deleting RDS and EBS resources that ate lagged with an "aws:cloudformation:stack-name'' tag.
  • C. Use AWS Config rules to prevent deleting RDS and EBS resources.
  • D. Configure a stack policy that disallows the deletion of RDS and EBS resources.

Answer: A

Explanation:
Modifying the CloudFormation templates to add a DeletionPolicy attribute to RDS and EBS resources, is another valid solution to prevent accidental deletion of data in this scenario. By adding a DeletionPolicy attribute of "Retain" to RDS and EBS resources in the CloudFormation templates, the company can ensure that these resources and their data are not deleted when the CloudFormation stack is deleted. This is a way to prevent accidental deletion of data by preserving the resources when the stack is deleted.


NEW QUESTION # 557
A large education company recently introduced Amazon Workspaces to provide access to internal applications across multiple universities. The company is storing user proxies on an Amazon FSx for Windows File Server tile system. The Me system is configured with a DNS alias and is connected to a self-managed Active Directory As more users begin to use the Workspaces login time increases to unacceptable levels
An investigation reveals a degradation in performance of the file system. The company created the file system on HDD storage with a throughput of 16 MBps A solutions architect must improve the performance of the file system during a defined maintenance window
What should the solutions architect do to meet these requirements with the LEAST administrative effort?

  • A. Disconnect users from the file system In the Amazon FSx console, update the throughput capacity to 32 MBps Update the storage type to SSD Reconnect users to the file system
  • B. Deploy an AWS DataSync agent onto a new Amazon EC2 instance. Create a task Configure the existing file system as the source location Configure a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput as the target location Schedule the task When the task is completed adjust the DNS alias accordingly Delete the original file system.
  • C. Use AWS Backup to create a point-in-time backup of the file system Restore the backup to a new FSx for Windows File Server file system Select SSD as the storage type Select 32 MBps as the throughput capacity When the backup and restore process is completed adjust the DNS alias accordingly Delete the original file system
  • D. Enable shadow copies on the existing file system by using a Windows PowerShell command Schedule the shadow copy job to create a point-in-time backup of the file system Choose to restore previous versions Create a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput When the copy job is completed, adjust the DNS alias Delete the original file system

Answer: D


NEW QUESTION # 558
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