100% PASS SAP-C02 - AWS CERTIFIED SOLUTIONS ARCHITECT - PROFESSIONAL (SAP-C02)–EFFICIENT EXAM PRACTICE

100% Pass SAP-C02 - AWS Certified Solutions Architect - Professional (SAP-C02)–Efficient Exam Practice

100% Pass SAP-C02 - AWS Certified Solutions Architect - Professional (SAP-C02)–Efficient Exam Practice

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q97-Q102):

NEW QUESTION # 97
A company built an ecommerce website on AWS using a three-tier web architecture. The application is Java-based and composed of an Amazon CloudFront distribution, an Apache web server layer of Amazon EC2 instances in an Auto Scaling group, and a backend Amazon Aurora MySQL database.
Last month, during a promotional sales event, users reported errors and timeouts while adding items to their shopping carts. The operations team recovered the logs created by the web servers and reviewed Aurora DB cluster performance metrics. Some of the web servers were terminated before logs could be collected and the Aurora metrics were not sufficient for query performance analysis.
Which combination of steps must the solutions architect take to improve application performance visibility during peak traffic events? (Choose three.)

  • A. Configure the Aurora MySQL DB cluster to publish slow query and error logs to Amazon CloudWatch Logs.
  • B. Enable and configure AWS CloudTrail to collect and analyze application activity from Amazon EC2 and Aurora.
  • C. Implement the AWS X-Ray SDK to trace incoming HTTP requests on the EC2 instances and implement tracing of SQL queries with the X-Ray SDK for Java.
  • D. Install and configure an Amazon CloudWatch Logs agent on the EC2 instances to send the Apache logs to CloudWatch Logs.
  • E. Configure the Aurora MySQL DB cluster to stream slow query and error logs to Amazon Kinesis
  • F. Enable Aurora MySQL DB cluster performance benchmarking and publish the stream to AWS X-Ray.

Answer: A,C,D

Explanation:
Configuring the Aurora MySQL DB cluster to publish slow query and error logs to Amazon CloudWatch Logs will allow the solutions architect to monitor and troubleshoot the database performance by identifying slow or problematic queries1. CloudWatch Logs also provides features such as metric filters, alarms, and dashboards to analyze and visualize the log data2.
Implementing the AWS X-Ray SDK to trace incoming HTTP requests on the EC2 instances and implement tracing of SQL queries with the X-Ray SDK for Java will allow the solutions architect to measure and map the end-to-end latency and performance of the web application3. X-Ray traces show how requests travel through the application components, such as web servers, load balancers, microservices, and databases4. X-Ray also provides features such as service maps, annotations, histograms, and error rates to analyze and optimize the application performance.
Installing and configuring an Amazon CloudWatch Logs agent on the EC2 instances to send the Apache logs to CloudWatch Logs will allow the solutions architect to monitor and troubleshoot the web server performance by collecting and storing the Apache access and error logs. CloudWatch Logs also provides features such as metric filters, alarms, and dashboards to analyze and visualize the log data2.
References:
Publishing Aurora MySQL logs to Amazon CloudWatch Logs
Working with log data in CloudWatch Logs
Instrumenting your application with the X-Ray SDK for Java
Tracing requests with AWS X-Ray
[Analyzing application performance with AWS X-Ray]
[Using CloudWatch Logs with your Apache web server]


NEW QUESTION # 98
A company is running a two-tier web-based application in an on-premises data center. The application layer consists of a single server running a stateful application. The application connects to a PostgreSQL database running on a separate server. The application's user base is expected to grow significantly, so the company is migrating the application and database to AWS.
The solution will use Amazon Aurora PostgreSQL, Amazon EC2 Auto Scaling, and Elastic Load Balancing. Which solution will provide a consistent user experience that will allow the application and database tiers to scale?

  • A. Enable Aurora Scaling for Aurora writers. Use a Network Load Balancer with the least outstanding requests routing algorithm and sticky sessions enabled.
  • B. Enable Aurora Auto Scaling for Aurora Replicas. Use a Network Load Balancer with the least outstanding requests routing algorithm and sticky sessions enabled.
  • C. Enable Aurora Auto Scaling for Aurora Replicas. Use an Application Load Balancer with the round robin routing and sticky sessions enabled.
  • D. Enable Aurora Auto Scaling for Aurora writers. Use an Application Load Balancer with the round robin routing algorithm and sticky sessions enabled.

Answer: C

Explanation:
Aurora Auto Scaling enables your Aurora DB cluster to handle sudden increases in connectivity or workload. When the connectivity or workload decreases, Aurora Auto Scaling removes unnecessary Aurora Replicas so that you don't pay for unused provisioned DB instances.


NEW QUESTION # 99
A company wants to migrate an application to Amazon EC2 from VMware Infrastructure that runs in an on-premises data center. A solutions architect must preserve the software and configuration settings during the migration.
What should the solutions architect do to meet these requirements?

  • A. Configure the AWS DataSync agent to start replicating the data store to Amazon FSx for Windows File Server Use the SMB share to host the VMware data store. Use VM Import/Export to move the VMs to Amazon EC2.
  • B. Use the VMware vSphere client to export the application as an image in Open Virealization Format (OVF) format Create an Amazon S3 bucket to store the image in the destination AWS Region. Create and apply an IAM role for VM Import Use the AWS CLI to run the EC2 import command.
  • C. Configure AWS Storage Gateway for files service to export a Common Internet File System (CIFSJ share. Create a backup copy to the shared folder. Sign in to the AWS Management Console and create an AMI from the backup copy Launch an EC2 instance that is based on the AMI.
  • D. Create a managed-instance activation for a hybrid environment in AWS Systems Manager. Download and install Systems Manager Agent on the on-premises VM Register the VM with Systems Manager to be a managed instance Use AWS Backup to create a snapshot of the VM and create an AMI. Launch an EC2 instance that is based on the AMI

Answer: D

Explanation:
https://docs.aws.amazon.com/vm-import/latest/userguide/vmimport-image-import.html
- Export an OVF Template
- Create / use an Amazon S3 bucket for storing the exported images. The bucket must be in the Region where you want to import your VMs.
- Create an IAM role named vmimport.
- You'll use AWS CLI to run the import commands.
https://aws.amazon.com/premiumsupport/knowledge-center/import-instances/


NEW QUESTION # 100
A company is using AWS Organizations to manage multiple AWS accounts. For security purposes, the company requires the creation of an Amazon Simple Notification Service (Amazon SNS) topic that enables integration with a third-party alerting system in all the Organizations member accounts.
A solutions architect used an AWS CloudFormation template to create the SNS topic and stack sets to automate the deployment of Cloud Formation stacks. Trusted access has been enabled in Organizations.
What should the solutions architect do to deploy the CloudFormation StackSets in all AWS accounts?

  • A. Create stacks in the Organizations member accounts. Use self-service permissions. Set deployment options to deploy to an organization. Enable the CloudFormation StackSets automatic deployment.
  • B. Create a stack set in the Organizations management account. Use service-managed permissions. Set deployment options to deploy to the organization. Enable CloudFormation StackSets automatic deployment.
  • C. Create a stack set in the Organizations member accounts. Use service-managed permissions. Set deployment options to deploy to an organization. Use CloudFormation StackSets drift detection.
  • D. Create stacks in the Organizations management account. Use service-managed permissions. Set deployment options to deploy to the organization. Enable CloudFormation StackSets drift detection.

Answer: B

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/stacksets-orgs-manage-auto-deployment.html


NEW QUESTION # 101
A company is building an application that will run on an AWS Lambda function. Hundreds of customers will use the application. The company wants to give each customer a quota of requests for a specific time period.
The quotas must match customer usage patterns. Some customers must receive a higher quota for a shorter time period.
Which solution will meet these requirements?

  • A. Create an Amazon API Gateway HTTP API with a proxy integration to invoke the Lambda function.
    For each customer, configure an API Gateway usage plan that includes an appropriate request quota.
    Configure route-level throttling for each usage plan. Create an API key from the usage plan for each user that the customer needs.
  • B. Create a Lambda function alias for each customer. Include a concurrency limit with an appropriate request quota. Create a Lambda function URL for each function alias. Share the Lambda function URL for each alias with the relevant customer.
  • C. Create an Amazon API Gateway REST API with a proxy integration to invoke the Lambda function.
    For each customer, configure an API Gateway usage plan that includes an appropriate request quota.
    Create an API key from the usage plan for each user that the customer needs.
  • D. Create an Application Load Balancer (ALB) in a VPC. Configure the Lambda function as a target for the ALB. Configure an AWS WAF web ACL for the ALB. For each customer, configure a rate-based rule that includes an appropriate request quota.

Answer: C

Explanation:
Explanation
The correct answer is A.
A: This solution meets the requirements because it allows the company to create different usage plans for each customer, with different request quotas and time periods. The usage plans can be associated with API keys, which can be distributed to the users of each customer. The API Gateway REST API can invoke the Lambda function using a proxy integration, which passes the request data to the function as input and returns the function output as the response. This solution is scalable, secure, and cost-effective12
B: This solution is incorrect because API Gateway HTTP APIs do not support usage plans or API keys. These features are only available for REST APIs3
C: This solution is incorrect because it does not provide a way to enforce request quotas for each customer.
Lambda function aliases can be used to create different versions of the function, but they do not have any quota mechanism. Moreover, this solution exposes the Lambda function URLs directly to the customers, which is not secure or recommended4
D: This solution is incorrect because it does not provide a way to differentiate between customers or users.
AWS WAF rate-based rules can be used to limit requests based on IP addresses, but they do not support any other criteria such as user agents or headers. Moreover, this solution adds unnecessary complexity and cost by using an ALB and a VPC56 References:
1: Creating and using usage plans with API keys - Amazon API Gateway 2: Set up a proxy integration with a Lambda proxy integration - Amazon API Gateway 3: Choose between HTTP APIs and REST APIs - Amazon API Gateway 4: Using AWS Lambda aliases - AWS Lambda 5: Rate-based rule statement - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced 6: Lambda functions as targets for Application Load Balancers
- Elastic Load Balancing


NEW QUESTION # 102
......

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