AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL TEST LAB QUESTIONS & AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL LATEST EXAM TOPICS & AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL STUDY QUESTIONS FILES

AWS-Solutions-Architect-Professional Test Lab Questions & AWS-Solutions-Architect-Professional Latest Exam Topics & AWS-Solutions-Architect-Professional Study Questions Files

AWS-Solutions-Architect-Professional Test Lab Questions & AWS-Solutions-Architect-Professional Latest Exam Topics & AWS-Solutions-Architect-Professional Study Questions Files

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Amazon AWS-Solutions-Architect-Professional (AWS Certified Solutions Architect - Professional) Exam is a professional-level certification exam offered by Amazon Web Services (AWS). AWS-Solutions-Architect-Professional exam is designed for IT professionals who have experience in designing and deploying scalable, fault-tolerant, and highly available systems on the AWS platform. AWS-Solutions-Architect-Professional exam tests the candidate's knowledge of AWS services, architecture best practices, and design patterns, as well as their ability to design and implement solutions that meet specific business requirements.

The AWS-Solutions-Architect-Professional Certification is a valuable credential for cloud solution architects who want to demonstrate their expertise in designing and deploying complex AWS solutions. Earning this certification can help individuals advance their careers and increase their earning potential in the rapidly growing field of cloud computing.

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The AWS Certified Solutions Architect - Professional certification is widely recognized as one of the most prestigious and sought-after certifications in the IT industry. AWS Certified Solutions Architect - Professional certification validates the advanced technical skills and expertise required to design and deploy scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). The AWS-Solutions-Architect-Professional Exam is designed to test the candidate's knowledge and skills in various areas of AWS, including designing and deploying scalable, highly available, and fault-tolerant systems, selecting appropriate AWS services for a given scenario, and migrating complex multi-tier applications on AWS.

Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q372-Q377):

NEW QUESTION # 372
A company stores sales transaction data in Amazon DynamoDB tables. To detect anomalous behaviors and respond quickly, all changes to the items stored in the DynamoDB tables must be logged within 30 minutes.
Which solution meets the requirements?

  • A. Copy the DynamoDB tables into Apache Hive tables on Amazon EMR every hour and analyze them for anomalous behaviors. Send Amazon SNS notifications when anomalous behaviors are detected.
  • B. Use Amazon DynamoDB Streams to capture and send updates to AWS Lambda. Create a Lambda function to output records to Amazon Kinesis Data Streams. Analyze any anomalies with Amazon Kinesis Data Analytics. Send SNS notifications when anomalous behaviors are detected.
  • C. Use AWS CloudTrail to capture all the APIs that change the DynamoDB tables. Send SNS notifications when anomalous behaviors are detected using CloudTrail event filtering.
  • D. Use event patterns in Amazon CloudWatch Events to capture DynamoDB API call events with an AWS Lambda function as a target to analyze behavior. Send SNS notifications when anomalous behaviors are detected.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html


NEW QUESTION # 373
A company has a legacy application running on servers on premises. To increase the application's reliability, the company wants to gain actionable insights using application logs.
A Solutions Architect has been given following requirements for the solution:
- Aggregate logs using AWS.
- Automate log analysis for errors.
- Notify the Operations team when errors go beyond a specified
threshold.
What solution meets the requirements?

  • A. Install Amazon Kinesis Agent on servers, send logs to Amazon Kinesis Data Streams and use Amazon Kinesis Data Analytics to identify errors, create an Amazon CloudWatch alarm to notify the Operations team of errors
  • B. Install Logstash on servers, send logs to Amazon S3 and use Amazon Athena to identify errors, use sendmail to notify the Operations team of errors.
  • C. Install an AWS X-Ray agent on servers, send logs to AWS Lambda and analyze them to identify errors, use Amazon CloudWatch Events to notify the Operations team of errors.
  • D. Install the Amazon CloudWatch agent on servers, send logs to Amazon CloudWatch Logs and use metric filters to identify errors, create a CloudWatch alarm to notify the Operations team of errors.

Answer: A

Explanation:
https://docs.aws.amazon.com/kinesis-agent-windows/latest/userguide/what-is-kinesis-agent- windows.html
https://medium.com/@khandelwal12nidhi/build-log-analytic-solution-on-aws-cc62a70057b2


NEW QUESTION # 374
An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady 20% increase in utilization every month.
While monitoring the current Lambda functions, the Solutions Architect notices that the execution- time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3- TB MySQL database server that is on-premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.
How can the Solutions Architect reduce the cost of the current architecture?

  • A. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.
    Enable local caching in the mobile application to reduce the Lambda function invocation calls.
    Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.
    Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
  • B. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.
    Enable API caching on API Gateway to reduce the number of Lambda function invocations.
    Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.
    Enable Auto Scaling in DynamoDB.
  • C. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.
    Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of Lambda function invocations.
    Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.
    Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto Scaling feature.
  • D. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.
    Cache the API Gateway results to Amazon CloudFront.
    Use Amazon EC2 Reserved Instances instead of Lambda.
    Enable Auto Scaling on EC2, and use Spot Instances during peak times.
    Enable DynamoDB Auto Scaling to manage target utilization.

Answer: A


NEW QUESTION # 375
You want to use AWS CodeDeploy to deploy an application to Amazon EC2 instances running within an Amazon Virtual Private Cloud (VPC).
What criterion must be met for this to be possible?

  • A. The AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access only the public AWS CodeDeploy endpoint.
  • B. The AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access only the public Amazon S3 service endpoint.
  • C. It is not currently possible to use AWS CodeDeploy to deploy an application to Amazon EC2 instances running within an Amazon Virtual Private Cloud (VPC.)
  • D. The AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access the public AWS CodeDeploy and Amazon S3 service endpoints.

Answer: D

Explanation:
You can use AWS CodeDeploy to deploy an application to Amazon EC2 instances running within an Amazon Virtual Private Cloud (VPC).
However, the AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access the public AWS CodeDeploy and Amazon S3 service endpoints.
http://aws.amazon.com/codedeploy/faqs/


NEW QUESTION # 376
A development team has created a series of AWS CloudFormation templates to help deploy services. They created a template for a network/virtual private (VPC) stack, a database stack, a bastion host stack, and a web application-specific stack. Each service requires the deployment of at least:
Each template has multiple input parameters that make it difficult to deploy the services individually from the AWS CloudFormation console. The input parameters from one stack are typically outputs from other stacks.
For example, the VPC ID, subnet IDs, and security groups from the network stack may need to be used in the application stack or database stack.
Which actions will help reduce the operational burden and the number of parameters passed into a service deployment? (Choose two.)

  • A. Set up an AWS CodePipeline workflow for each service. For each existing template, choose AWS CloudFormation as a deployment action. Add the AWS CloudFormation template to the deployment action. Ensure that the deployment actions are processed to make sure that dependences are obeyed. Use configuration files and scripts to share parameters between the stacks. To launch the service, execute the specific template by choosing the name of the service and releasing a change.
  • B. Create a new portfolio in AWS Service Catalog for each service. Create a product for each existing AWS CloudFormation template required to build the service. Add the products to the portfolio that represents that service in AWS Service Catalog. To deploy the service, select the specific service portfolio and launch the portfolio with the necessary parameters to deploy all templates.
  • C. Use AWS Step Functions to define a new service. Create a new AWS CloudFormation template for each service. After the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new service template. Configure AWS Step Functions to call the service template directly. In the AWS Step Functions console, execute the step.
  • D. Create a new AWS CloudFormation template for each service. After the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new stack. Call the newly created service stack from the AWS CloudFormation console to deploy the specific service with a subset of the parameters previously required.
  • E. Create a new portfolio for the Services in AWS Service Catalog. Create a new AWS CloudFormation template for each service. After the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new stack. Create a product for each application. Add the service template to the product. Add each new product to the portfolio. Deploy the product from the portfolio to deploy the service with the necessary parameters only to start the deployment.

Answer: D,E


NEW QUESTION # 377
......

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