EXCELLENT SAP-C02 ONLINE TEST | AMAZING PASS RATE FOR SAP-C02: AWS CERTIFIED SOLUTIONS ARCHITECT - PROFESSIONAL (SAP-C02) | FAST DOWNLOAD SAP-C02 TOP QUESTIONS

Excellent SAP-C02 Online Test | Amazing Pass Rate For SAP-C02: AWS Certified Solutions Architect - Professional (SAP-C02) | Fast Download SAP-C02 Top Questions

Excellent SAP-C02 Online Test | Amazing Pass Rate For SAP-C02: AWS Certified Solutions Architect - Professional (SAP-C02) | Fast Download SAP-C02 Top Questions

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The AWS Certified Solutions Architect - Professional (SAP-C02) certification is a valuable credential for IT professionals who want to demonstrate their expertise in designing and deploying complex AWS solutions. AWS Certified Solutions Architect - Professional (SAP-C02) certification helps candidates to enhance their career prospects and opens up new opportunities for job roles such as AWS Solutions Architect, Cloud Architect, and Cloud Engineer. Additionally, the certification validates the candidate's knowledge and skills in advanced AWS services, which can benefit their current employer by improving the organization's efficiency and reducing costs.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q55-Q60):

NEW QUESTION # 55
A company has more than 10.000 sensors that send data to an on-premises Apache Kafka server by using the Message Queuing Telemetry Transport (MQTT) protocol. The on-premises Kafka server transforms the data and then stores the results as objects in an Amazon S3 bucket.
Recently, the Kafka server crashed. The company lost sensor data while the server was being restored. A solutions architect must create a new design on AWS that is highly available and scalable to prevent a similar occurrence.
Which solution will meet these requirements?

  • A. Launch two Amazon EC2 instances to host the Kafka server in an active/standby configuration across two Availability Zones. Create a domain name in Amazon Route 53. Create a Route 53 failover policy. Route the sensors to send the data to the domain name.
  • B. Deploy AWS loT Core, and connect it to an Amazon Kinesis Data Firehose delivery stream. Use an AWS Lambda function to handle data transformation. Route the sensors to send the data to AWS loT Core.
  • C. Migrate the on-premises Kafka server to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create a Network Load Balancer (NLB) that points to the Amazon MSK broker Enable NL8 health checks. Route the sensors to send the data to the NLB.
  • D. Deploy AWS loT Core, and launch an Amazon EC2 instance to host the Kafka server. Configure AWS loT Core to send the data to the EC2 instance. Route the sensors to send the data to AWS loT Core.

Answer: B

Explanation:
Because MSK has Maximum number of client connections 1000 per second and the company has 10,000 sensors, the MSK likely will not be able to handle all connections https://docs.aws.amazon.com/msk/latest/developerguide/limits.html


NEW QUESTION # 56
A company has a data lake in Amazon S3 that needs to be accessed by hundreds of applications across many AWS accounts. The company's information security policy states that the S3 bucket must not be accessed over the public internet and that each application should have the minimum permissions necessary to function.
To meet these requirements, a solutions architect plans to use an S3 access point that is restricted to specific VPCs tor each application.
Which combination of steps should the solutions architect take to implement this solution? (Select TWO.)

  • A. Create a gateway endpoint for Amazon S3 in the data lake's VPC. Attach an endpoint policy to allow access to the S3 bucket. Specify the route table that is used to access the bucket.
  • B. Create a gateway endpoint lor Amazon S3 in each application's VPC. Configure the endpoint policy to allow access to an S3 access point. Specify the route table that is used to access the access point.
  • C. Create an S3 access point for each application in each AWS account and attach the access points to the S3 bucket. Configure each access point to be accessible only from the application's VPC. Update the bucket policy to require access from an access point.
  • D. Create an S3 access point for each application in the AWS account that owns the S3 bucket. Configure each access point to be accessible only from the application's VPC. Update the bucket policy to require access from an access point.
  • E. Create an interface endpoint for Amazon S3 in each application's VPC. Configure the endpoint policy to allow access to an S3 access point. Create a VPC gateway attachment for the S3 endpoint.

Answer: B,D


NEW QUESTION # 57
An external audit of a company's serverless application reveals IAM policies that grant too many permissions. These policies are attached to the company's AWS Lambda execution roles. Hundreds of the company's Lambda functions have broad access permissions, such as full access to Amazon S3 buckets and Amazon DynamoDB tables. The company wants each function to have only the minimum permissions that the function needs to complete its task.
A solutions architect must determine which permissions each Lambda function needs.
What should the solutions architect do to meet this requirement with the LEAST amount of effort?

  • A. Turn on AWS CloudTrail logging for the AWS account. Export the CloudTrail logs to Amazon S3. Use Amazon EMR to process the CloudTrail logs in Amazon S3 and produce a report of API calls and resources used by each execution role. Create a new IAM access policy for each role. Export the generated roles to an S3 bucket. Review the generated policies to ensure that they meet the company's business requirements.
  • B. Set up Amazon CodeGuru to profile the Lambda functions and search for AWS API calls. Create an inventory of the required API calls and resources for each Lambda function. Create new IAM access policies for each Lambda function. Review the new policies to ensure that they meet the company's business requirements.
  • C. Turn on AWS CloudTrail logging for the AWS account. Use AWS Identity and Access Management Access Analyzer to generate IAM access policies based on the activity recorded in the CloudTrail log. Review the generated policies to ensure that they meet the company's business requirements.
  • D. Turn on AWS CloudTrail logging for the AWS account. Create a script to parse the CloudTrail log, search for AWS API calls by Lambda execution role, and create a summary report. Review the report. Create IAM access policies that provide more restrictive permissions for each Lambda function.

Answer: C

Explanation:
IAM Access Analyzer helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, shared with an external entity. This lets you identify unintended access to your resources and data, which is a security risk. IAM Access Analyzer identifies resources shared with external principals by using logic-based reasoning to analyze the resource-based policies in your AWS environment. https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html


NEW QUESTION # 58
During an audit, a security team discovered that a development team was putting IAM user secret access keys in their code and then committing it to an AWS CodeCommit repository. The security team wants to automatically find and remediate instances of this security vulnerability.
Which solution will ensure that the credentials are appropriately secured automatically7

  • A. Use a scheduled AWS Lambda function to download and scan the application code from CodeCommit.
    If credentials are found, generate new credentials and store them in AWS KMS.
  • B. Configure a CodeCommit trigger to invoke an AWS Lambda function to scan new code submissions for credentials. It credentials are found, disable them in AWS IAM and notify the user
  • C. Run a script nightly using AWS Systems Manager Run Command to search tor credentials on the development instances. If found. use AWS Secrets Manager to rotate the credentials.
  • D. Configure Amazon Made to scan for credentials in CodeCommit repositories. If credentials are found, trigger an AWS Lambda function to disable the credentials and notify the user.

Answer: B

Explanation:
CodeCommit may use S3 on the back end (and it also uses DynamoDB on the back end) but I don't think they're stored in buckets that you can see or point Macie to. In fact, there are even solutions out there describing how to copy your repo from CodeCommit into S3 to back it up:
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/automate-event-driven-backups-from-codecom


NEW QUESTION # 59
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 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.
  • B. 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.
  • 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 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.

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 # 60
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