Free AWS-CERTIFIED-SOLUTIONS-ARCHITECT-PROFESSIONAL-SAP-C02 – Amazon AWS-CERTIFIED-SOLUTIONS-ARCHITECT-PROFESSIONAL-SAP-C02 Practice Test Question

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Showing 46–48 of 53 questions

Question 46 (Topic 1)

A company is running a web-crawling process on a list of target URLs to obtain training documents for machine learning training algorithms. A fleet of Amazon EC2 t2.micro instances pulls the target URLs from an Amazon Simple Queue Service (Amazon SQS) queue. The instances then write the result of the crawling algorithm as a .csv file to an Amazon Elastic File System (Amazon EFS) volume. The EFS volume is mounted on all instances of the fleet. A separate system adds the URLs to the SQS queue at infrequent rates. The instances crawl each URL in 10 seconds or less. Metrics indicate that some instances are idle when no URLs are in the SQS queue. A solutions architect needs to redesign the architecture to optimize costs. Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.)

Select an option, then click Submit answer.

○ Use m5.8xlarge instances instead of t2.micro instances for the web-crawling process. Reduce the number of instances in the fleet by 50%.
○ Convert the web-crawling process into an AWS Lambda function. Configure the Lambda function to pull URLs from the SQS queue.
○ Modify the web-crawling process to store results in Amazon Neptune.
○ Modify the web-crawling process to store results in an Amazon Aurora Serverless MySQL instance.
○ Modify the web-crawling process to store results in Amazon S3.

Reference / correct answer:

Convert the web-crawling process into an AWS Lambda function. Configure the Lambda function to pull URLs from the SQS queue.

Most accepted answer: B. Convert the web-crawling process into an AWS Lambda function. Configure the Lambda function to pull URLs from the SQS queue.

Community votes: B=3, E=3

Option B involves converting the web-crawling process into an AWS Lambda function, which will allow the company to pay only for the compute time consumed by the function. This approach can help reduce costs compared to running EC2 instances. Converting the web-crawling process to a Lambda function also eliminates the need to maintain and monitor a fleet of EC2 instances, reducing operational costs. Option E involves modifying the web-crawling process to store results in Amazon S3, which is an object storage service that can store large amounts of data. This approach can help reduce costs compared to storing data on EFS or other block-based file systems. Storing results in S3 also provides high availability and durability for the data, meeting the requirements of a production-grade system. upvoted 1 times

Selected Answer: BE BE lamda + S3 the process don't need a database upvoted 3 times

Selected Answer: BE A is utter rubbish - scaling out is not what we need B is optimal in terms of cost C and D involve fairly expensive databases not suitable for this use case. Moreover, Neptune must run in a VPC. E is optimal in terms of accessibility and cost upvoted 3 times

Selected Answer: BE use lambda instead of a fleet of EC2, and store the results into cost-effective S3 upvoted 1 times

Question 47 (Topic 1)

A company that is developing a mobile game is making game assets available in two AWS Regions. Game assets are served from a set of Amazon EC2 instances behind an Application Load Balancer (ALB) in each Region. The company requires game assets to be fetched from the closest Region. If game assets become unavailable in the closest Region, they should be fetched from the other Region. What should a solutions architect do to meet these requirements?

Select an option, then click Submit answer.

○ Create an Amazon CloudFront distribution. Create an origin group with one origin for each ALB. Set one of the origins as primary.
○ Create an Amazon Route 53 health check for each ALCreate a Route 53 failover routing record pointing to the two ALBs. Set the Evaluate Target Health value to Yes.
○ Create two Amazon CloudFront distributions, each with one ALB as the origin. Create an Amazon Route 53 failover routing record pointing to the two CloudFront distributions. Set the Evaluate Target Health value to Yes.
○ Create an Amazon Route 53 health check for each ALB. Create a Route 53 latency alias record pointing to the two ALBs. Set the Evaluate Target Health value to Yes.

Reference / correct answer:

Create an Amazon Route 53 health check for each ALB. Create a Route 53 latency alias record pointing to the two ALBs. Set the Evaluate Target Health value to Yes.

Most accepted answer: D. Create an Amazon Route 53 health check for each ALB. Create a Route 53 latency alias record pointing to the two ALBs. Set the Evaluate Target Health value to Yes.

Community votes: A=6, B=1, C=1, D=7

Selected Answer: D A - Need to set cache behaviour for another origin B - Failover routing record cannot point to 2 ALBs C - Works but does not meet the requirement. By default, when there is no unhealthy distribution, the traffic will always be sent to the primary but not the closest region. D - Sending the traffic to the closest region unless the closest region becomes unhealthy upvoted 14 times

Selected Answer: A It is either A or D but both are not perfect. In A Cloudfront will always fetch from the primary region not the closest region. In D latency based routing might not choose the closest region but the one with best latency. For the following reasons I go with A: A is correct: the user will always use the nearest edge location in the closest region to fetch the game assets. Cloudfront will either respond from the cache or load the game assets from the primary origin (or in case the primary origin is not available from the fail over origin). B is incorrect because the game assets would always be fetched from the primary region. C is wrong because this setup is essentially the same as A but much more complicated. D is wrong because latency based routing does not necessarily choose the nearest region but the region with the best latency (geolocation routing policy would be the correct to fulfill the requirement) upvoted 6 times

Selected Answer: D ey insight: Only latency-based routing routes users to the closest Region. Combined with health checks (Evaluate Target Health = Yes), it provides automatic failover to the other Region when the closest one is unhealthy. This satisfies both requirements in one clean solution. upvoted 1 times

Selected Answer: A D gives latency routing but weak/no reliable failover. A gives both closest delivery (via CloudFront edges) + fast automatic failover (via Origin Group). upvoted 1 times Amac1979 1 month, 1 week ago A (CloudFront with origin group) — A CloudFront origin group provides failover between origins, and it serves content from edge locations. However, the primary/secondary model in an origin group doesn't route to the "closest" origin — it always tries the primary first, then falls back to secondary. It doesn't provide latency-based origin selection between two Regions. upvoted 1 times ...

A (CloudFront with origin group) — A CloudFront origin group provides failover between origins, and it serves content from edge locations. However, the primary/secondary model in an origin group doesn't route to the "closest" origin — it always tries the primary first, then falls back to secondary. It doesn't provide latency-based origin selection between two Regions. upvoted 1 times

Question 48 (Topic 1)

A company needs to improve the reliability of its ticketing application. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster. The company uses Amazon CloudFront to serve the application. A single ECS service of the ECS cluster is the CloudFront distribution’s origin. The application allows only a specific number of active users to enter a ticket purchasing flow. These users are identified by an encrypted attribute in their JSON Web Token (JWT). All other users are redirected to a waiting room module until there is available capacity for purchasing. The application is experiencing high loads. The waiting room module is working as designed, but load on the waiting room is disrupting the applications availability. This disruption is negatively affecting the application's ticket sale transactions. Which solution will provide the MOST reliability for ticket sale transactions during periods of high load?

Select an option, then click Submit answer.

○ Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Ensure that the ticketing service uses the JWT information and appropriately forwards requests to the waiting room service.
○ Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the waiting room module into a pod that is separate from the ticketing pod. Make the ticketing pod part of a StatefulSet. Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
○ Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Create a CloudFront function that inspects the JWT information and appropriately forwards requests to the ticketing service or the waiting room service.
○ Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the waiting room module into a pod that is separate from the ticketing pod. Use AWS App Mesh by provisioning the App Mesh controller for Kubernetes. Enable mTLS authentication and service-to-service authentication for communication between the ticketing pod and the waiting room pod. Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.

Reference / correct answer:

Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Create a CloudFront function that inspects the JWT information and appropriately forwards requests to the ticketing service or the waiting room service.

Most accepted answer: C. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Create a CloudFront function that inspects the JWT information and appropriately forwards requests to the ticketing service or the waiting room service.

Community votes: A=1, C=6, D=1

Selected Answer: C CFFunctions:You can validate hashed authorization tokens, such as JSON web tokens (JWT), by inspecting authorization headers or other request metadata. https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/cloudfront-functions.html upvoted 11 times

Selected Answer: D I choose D for a few reason: - Use EKS so that I can have mTLS for S2S authentication which reduce the amount of time that user needs to get authenticated => lower latency - App Mesh (deprecated but still use for the sake of the question) can use for network management so I can direct the traffic to correct service which is the waiting room before going to ticket module - Waiting room and ticket module will then create a socket connection to signal if ticket room has capacity to accept user - Since the user is already authenticated, he/she can be transited seamlessly from S2S with real time stat of waiting line which increase the UX upvoted 1 times

Selected Answer: C Initial thought was A, but Separating services helps, but without routing at the edge, the ticketing service could still be impacted by traffic that first hits the waiting room. thus picked C upvoted 1 times

Selected Answer: A I hate to be the only one going with A but CF Functions can't read a database to find out if the queue is full or not, and if we separate out the processes CF would need to call the service or DB to see if the queue is full, then generate the header or send it to the right location. Due to not mentioning how the encrypted header is generated post splitting the microservices Ill have to pick A. upvoted 1 times

Selected Answer: C "A single ECS service of the ECS cluster is the CloudFront distribution’s origin." This means all requests will hammer this service. The approach will be to reduce the load on this service by splitting the service and depending on the token contents to send it to the right service... upvoted 1 times

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