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The AWS-Solutions-Architect-Professional (AWS Certified Solutions Architect - Professional) Certification Exam is a highly valued certification that indicates a deep understanding of AWS infrastructure and applications. AWS Certified Solutions Architect - Professional certification is designed for professionals who have significant experience in designing and deploying AWS-based applications and is recognized as a benchmark for AWS expertise. Passing this certification exam is a key step in advancing one's career in cloud computing and AWS.

The AWS-Solutions-Architect-Professional Certification Exam is a professional-level exam that requires candidates to have a deep understanding of AWS services and architecture best practices. It is intended for individuals who have already earned the AWS Certified Solutions Architect – Associate certification and have several years of hands-on experience designing and deploying cloud solutions on AWS.

Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q158-Q163):

NEW QUESTION # 158
An organization is creating a VPC for their application hosting. The organization has created two private
subnets in the same AZ and created one subnet in a separate zone. The organization wants to make a
HA system with the internal ELB. Which of these statements is true with respect to an internal ELB in this
scenario?

A. ELB does not allow subnet selection; instead it will automatically select all the available subnets of the
VPC.
B. ELB can support only one subnet in each availability zone.
C. If the user is creating an internal ELB, he should use only private subnets.
D. ELB can support all the subnets irrespective of their zones.

Answer: B

Explanation:
The Amazon Virtual Private Cloud (Amazon VPC) allows the user to define a virtual networking
environment in a private, isolated section of the Amazon Web Services (AWS) cloud. The user has
complete control over the virtual networking environment. Within this virtual private cloud, the user can
launch AWS resources, such as an ELB, and EC2 instances.
There are two ELBs available with VPC: internet facing and internal (private) ELB. For internal servers,
such as App servers the organization can create an internal load balancer in their VPC and then place
back-end application instances behind the internal load balancer. The internal load balancer will route
requests to the back-end application instances, which are also using private IP addresses and only accept
requests from the internal load balancer.
The Internal ELB supports only one subnet in each AZ and asks the user to select a subnet while
configuring internal ELB.
Reference:
http://docs.aws.amazon.com/ElasticLoadBalancing/latest/DeveloperGuide/USVPC_creating_basic_lb.ht
ml

NEW QUESTION # 159
A company CFO recently analyzed the company's AWS monthly bill and identified an opportunity to reduce the cost for AWS Elastic Beanstalk environments in use. The CFO has asked a Solutions Architect to design a highly available solution that will spin up an Elastic Beanstalk environment in the morning and terminate it at the end of the day.
The solution should be designed with minimal operational overhead and to minimize costs. It should also be able to handle the increased use of Elastic Beanstalk environments among different teams, and must provide a one-stop scheduler solution for all teams to keep the operational costs low.
What design will meet these requirements?

A. Configure a time-based Auto Scaling group. In the morning, have the Auto Scaling group scale up an Amazon EC2 instance and put the Elastic Beanstalk environment start command in the EC2 instance user date. At the end of the day, scale down the instance number to 0 to terminate the EC2 instance.
B. Set up a Linux EC2 Micro instance. Configure an IAM role to allow the start and stop of the Elastic Beanstalk environment and attach it to the instance. Create scripts on the instance to start and stop the Elastic Beanstalk environment. Configure cron jobs on the instance to execute the scripts.
C. Develop AWS Lambda functions to start and stop the Elastic Beanstalk environment. Configure a Lambda execution role granting Elastic Beanstalk environment start/stop permissions, and assign the role to the Lambda functions. Configure cron expression Amazon CloudWatch Events rules to trigger the Lambda functions.
D. Develop an AWS Step Functions state machine with "wait" as its type to control the start and stop time.
Use the activity task to start and stop the Elastic Beanstalk environment. Create a role for Step Functions to allow it to start and stop the Elastic Beanstalk environment. Invoke Step Functions daily.

Answer: D

NEW QUESTION # 160
A solutions architect is designing a publicly accessible web application that is on an Amazon CloudFront distribution with an Amazon S3 website endpoint as the origin When the solution is deployed the website returns an Error 403: Access Denied message Which steps should the solutions architect take to correct the issue1? (Select TWO )

A. Remove the requester pays option from the S3 bucket
B. Remove the origin access identity (OAI) from the CloudFront distribution
C. Disable S3 object versioning
D. Change the storage class from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA)
E. Remove the S3 block public access option from the S3 bucket

Answer: B,C

NEW QUESTION # 161
A three-tier web application runs on Amazon EC2 instances. Cron daemons are used to trigger scripts that collect the web server, application, and database logs and send them to a centralized location every hour.
Occasionally, scaling events or unplanned outages have caused the instances to stop before the latest logs were collected, and the log files were lost.
Which of the following options is the MOST reliable way of collecting and preserving the log files?

A. Use the Amazon CloudWatch Logs agent to stream log messages directly to CloudWatch Logs.
Configure the agent with a batch count of 1 to reduce the possibility of log messages being lost in an outage.
B. Use Amazon CloudWatch Events to trigger Amazon Systems Manager Run Command to invoke the log collection scripts more frequently to reduce the possibility of log messages being lost in an outage.
C. Use Amazon CloudWatch Events to trigger AWS Lambda to SSH into each running instance and invoke the log collection scripts more frequently to reduce the possibility of log messages being lost in an outage.
D. Update the cron jobs to run every 5 minutes instead of every hour to reduce the possibility of log messages being lost in an outage.

Answer: B

NEW QUESTION # 162
A company has purchased appliances from different vendors. The appliances all have loT sensors. The sensors send status information in the vendors' proprietary formats to a legacy application that parses the information into JSON. The parsing is simple, but each vendor has a unique format. Once daily, the application parses all the JSON records and stores the records in a relational database for analysis.
The company needs to design a new data analysis solution that can deliver faster and optimize costs.
Which solution will meet these requirements?

A. Migrate the application server to AWS Fargate, which will receive the information from loT sensors and parse the information into a relational format. Save the parsed information to Amazon Redshift for analysis.
B. Use AWS Snowball Edge to collect data from the loT sensors directly to perform local analysis.
Periodically collect the data into Amazon Redshift to perform global analysis.
C. Connect the loT sensors to AWS loT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon OuickSight for analysis.
D. Create an AWS Transfer for SFTP server. Update the loT sensor code to send the information as a .csv file through SFTP to the server. Use AWS Glue to catalog the files. Use Amazon Athena for analysis.

Answer: C

Explanation:
Connect the IoT sensors to AWS IoT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon QuickSight for analysis. This solution meets the requirement of faster analysis and cost optimization by using AWS IoT Core to collect data from the IoT sensors in real-time and then using AWS Glue and Amazon Athena for efficient data analysis.
This solution involves connecting the loT sensors to the AWS loT Core, setting a rule to invoke an AWS Lambda function to parse the information, and saving a .csv file to Amazon S3. AWS Glue can be used to catalog the files and Amazon Athena and Amazon QuickSight can be used for analysis. This solution will enable faster and more cost-effective data analysis.
This solution is in line with the official Amazon Textbook and Resources for the AWS Certified Solutions Architect - Professional certification. In particular, the book states that: "AWS IoT Core can be used to ingest and process the data, AWS Lambda can be used to process and transform the data, and Amazon S3 can be used to store the data. AWS Glue can be used to catalog and access the data, Amazon Athena can be used to query the data, and Amazon QuickSight can be used to visualize the data." (Source:
https://d1.awsstatic.com/training-and-certification/docs-sa-pro/AWS_Certified_Solutions_Architect_Professiona

NEW QUESTION # 163
......

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