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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q38-Q43):

NEW QUESTION # 38
[Design Secure Architectures]
A company is designing the architecture for a new mobile app that uses the AWS Cloud. The company uses organizational units (OUs) in AWS Organizations to manage its accounts. The company wants to tag Amazon EC2 instances with data sensitivity by using values of sensitive and nonsensitive IAM identities must not be able to delete a tag or create instances without a tag Which combination of steps will meet these requirements? (Select TWO.)

A. In Organizations, create a new service control policy (SCP) that specifies the data sensitivity tag key and the required tag values Enforce the tag values for the EC2 instances. Attach the SCP to the appropriate OU.
B. In Organizations, create a new tag policy that specifies the data sensitivity tag key and the required values. Enforce the tag values for the EC2 instances Attach the tag policy to the appropriate OU.
C. Create a tag policy to deny running instances when a tag key is not specified. Create another tag policy that prevents identities from deleting tags Attach the tag policies to the appropriate OU.
D. Create an AWS Config rule to check if EC2 instances use the data sensitivity tag and the specified values. Configure an AWS Lambda function to delete the resource if a noncompliant resource is found.
E. Create a service control policy (SCP) to deny creating instances when a tag key is not specified. Create another SCP that prevents identities from deleting tags Attach the SCPs to the appropriate OU.

Answer: B,E

Explanation:
To meet the requirements for tagging and preventing instance creation or deletion without proper tags, the company can use a combination of AWS Organizations tag policies and service control policies (SCPs).
Tag Policies: These enforce specific tag values across resources. Creating a tag policy with required values (e.g., sensitive, non-sensitive) and attaching it to the appropriate organizational unit (OU) ensures consistency in tagging.
SCPs: SCPs can be used to enforce compliance by preventing instance creation without a tag and preventing tag deletion. These policies control actions at the account level across the organization.
Key AWS features:
Tag Policieshelp standardize tags across accounts, andSCPsenforce governance by restricting actions that violate the policies.
AWS Documentation: AWS best practices recommend using tag policies and SCPs to enforce compliance across multiple accounts within AWS Organizations.

NEW QUESTION # 39
An online shopping platform is hosted on an Auto Scaling group of On-Demand EC2 instances with a default Auto Scaling termination policy and no instance protection configured. The system is deployed across three Availability Zones in the US West region (us-west-1) with an Application Load Balancer in front to provide high availability and fault tolerance for the shopping platform. The us-west-1a, us-west-1, and us-west-1c Availability Zones have 10, 8 and 7 running instances respectively. Due to the low number of incoming traffic, the scale-in operation has been triggered.
Which of the following will the Auto Scaling group do to determine which instance to terminate first in this scenario? (Select THREE.)

A. Choose the Availability Zone with the most number of instances, which is the us-west-1a Availability Zone in this scenario.
B. Select the instance that is farthest to the next billing hour.
C. Choose the Availability Zone with the least number of instances, which is the us-west-1c Availability Zone in this scenario.
D. Select the instances with the oldest launch configuration.
E. Select the instance that is closest to the next billing hour.
F. Select the instances with the most recent launch configuration.

Answer: A,D,E

Explanation:
The default termination policy is designed to help ensure that your network architecture spans Availability Zones evenly. With the default termination policy, the behavior of the Auto Scaling group is as follows:
1. If there are instances in multiple Availability Zones, choose the Availability Zone with the most instances and at least one instance that is not protected from scale in. If there is more than one Availability Zone with this number of instances, choose the Availability Zone with the instances that use the oldest launch configuration.
2. Determine which unprotected instances in the selected Availability Zone use the oldest launch configuration. If there is one such instance, terminate it.
3. If there are multiple instances to terminate based on the above criteria, determine which unprotected instances are closest to the next billing hour. (This helps you maximize the use of your EC2 instances and manage your Amazon EC2 usage costs.) If there is one such instance, terminate it.
4. If there is more than one unprotected instance closest to the next billing hour, choose one of these instances at random.
The following flow diagram illustrates how the default termination policy works:

Explanation:
Reference:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-instance-termination.html#default-termination-policy
Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/

NEW QUESTION # 40
A company runs a production application on a fleet of Amazon EC2 instances. The application reads the data from an Amazon SQS queue and processes the messages in parallel. The message volume is unpredictable and often has intermittent traffic. This application should continually process messages without any downtime.
Which solution meets these requirements MOST cost-effectively?

A. Use Reserved Instances exclusively to handle the maximum capacity required.
B. Use Reserved Instances for the baseline capacity and use On-Demand Instances to handle additional capacity.
C. Use Spot Instances exclusively to handle the maximum capacity required.
D. Use Reserved Instances for the baseline capacity and use Spot Instances to handle additional capacity.

Answer: B

Explanation:
We recommend that you use On-Demand Instances for applications with short-term, irregular workloads that cannot be interrupted. https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-on-demand-instances.html

NEW QUESTION # 41
A company recently migrated a monolithic application to an Amazon EC2 instance and Amazon RDS. The application has tightly coupled modules. The existing design of the application gives the application the ability to run on only a single EC2 instance.
The company has noticed high CPU utilization on the EC2 instance during peak usage times. The high CPU utilization corresponds to degraded performance on Amazon RDS for read requests. The company wants to reduce the high CPU utilization and improve read request performance.
Which solution will meet these requirements?

A. Resize the EC2 instance to an EC2 instance type that has more CPU capacity Configure an Auto Scaling group with a minimum and maximum size of 1. Resize the RDS DB instance to an instance type that has more CPU capacity.
B. Resize the EC2 instance to an EC2 instance type that has more CPU capacity. Configure an Auto Scaling group with a minimum and maximum size of 1. Add an RDS read replica and redirect all read
/write traffic to the replica.
C. Configure an Auto Scaling group with a minimum size of 1 and maximum size of 2. Resize the RDS DB instance to an instance type that has more CPU capacity.
D. Resize the EC2 instance to an EC2 instance type that has more CPU capacity. Configure an Auto Scaling group with a minimum and maximum size of 1. Configure an RDS read replica for read requests.

Answer: D

Explanation:
To address the high CPU utilization on the EC2 instance and the degraded performance of Amazon RDS for read requests, the solution involves two key actions: resizing the EC2 instance and leveraging Amazon RDS read replicas.
* Resizing the EC2 Instance: The first step is to resize the EC2 instance to a type with more CPU capacity to handle the higher computational demands during peak usage times. This helps to alleviate the immediate pressure on the CPU.
* Auto Scaling Group with a Size of 1: Although the application can only run on a single EC2 instance due to its monolithic nature, creating an Auto Scaling group with a minimum and maximum size of 1 ensures that the instance is automatically restarted or replaced in case of failure, maintaining high availability.
* RDS Read Replica: Configuring an RDS read replica allows the application to offload read requests to a separate instance, thus reducing the load on the primary RDS instance. This improves the performance of read operations, which were previously bottlenecked due to the high CPU usage on the EC2 instance.
* Why Not Other Options?:
* Option B: Redirecting all traffic to the RDS read replica is not recommended because replicas are meant for read traffic only, not for write operations. This could lead to data consistency issues.
* Option C: Increasing the RDS instance type capacity helps, but it doesn't address the high CPU usage on the EC2 instance, nor does it provide a solution for scaling reads.
* Option D: While resizing both the EC2 and RDS instances increases their capacities, it doesn't address the specific need to offload read traffic from the primary RDS instance.
AWS References:
* Amazon RDS Read Replicas - Explains how to create and use read replicas to offload read traffic from the primary database instance.
* Resizing Your EC2 Instance - Guidance on resizing EC2 instances to meet workload demands.

NEW QUESTION # 42
[Design Secure Architectures]
A company is implementing a new application on AWS. The company will run the application on multiple Amazon EC2 instances across multiple Availability Zones within multiple AWS Regions. The application will be available through the internet. Users will access the application from around the world.
The company wants to ensure that each user who accesses the application is sent to the EC2 instances that are closest to the user's location.
Which solution will meet these requirements?

A. Implement an Amazon Route 53 geolocation routing policy. Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
B. Implement an Amazon Route 53 weighted routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
C. Implement an Amazon Route 53 multivalue answer routing policy Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
D. Implement an Amazon Route 53 geoproximity routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.

Answer: A

Explanation:
The requirement is to route users to the nearest AWS Region where the application is deployed. The best solution is to use Amazon Route 53 with a geolocation routing policy, which routes traffic based on the geographic location of the user making the request.
Geolocation Routing: This routing policy ensures that users are directed to the resources (in this case, EC2 instances) that are geographically closest to them, thereby reducing latency and improving the user experience.
Application Load Balancer (ALB): Within each Region, an internet-facing Application Load Balancer (ALB) is used to distribute incoming traffic across multiple EC2 instances in different Availability Zones. ALBs are designed to handle HTTP/HTTPS traffic and provide advanced features like content-based routing, SSL termination, and user authentication.
Why Not Other Options?:
Option B (Geoproximity + NLB): Geoproximity routing is similar but more complex as it requires fine-tuning the proximity settings. A Network Load Balancer (NLB) is better suited for TCP/UDP traffic rather than HTTP/HTTPS.
Option C (Multivalue Answer Routing + ALB): Multivalue answer routing does not direct traffic based on user location but rather returns multiple values and lets the client choose. This does not meet the requirement for geographically routing users.
Option D (Weighted Routing + NLB): Weighted routing splits traffic based on predefined weights and does not consider the user's geographic location. NLB is not ideal for this scenario due to its focus on lower-level protocols.
AWS Reference:
Amazon Route 53 Routing Policies- Detailed explanation of the various routing policies available in Route 53, including geolocation.
Elastic Load Balancing- Information on the different types of load balancers in AWS and when to use them.

NEW QUESTION # 43
......

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