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NEW QUESTION # 162
An application consists of multiple EC2 instances in private subnets in different availability zones.
The application uses a single NAT Gateway for downloading software patches from the Internet to the instances. There is a requirement to protect the application from a single point of failure when the NAT Gateway encounters a failure or if its availability zone goes down.
How should the Solutions Architect redesign the architecture to be more highly available and cost- effective
Answer: C
Explanation:
A NAT Gateway is a highly available, managed Network Address Translation (NAT) service for your resources in a private subnet to access the Internet. NAT gateway is created in a specific Availability Zone and implemented with redundancy in that zone.
You must create a NAT gateway on a public subnet to enable instances in a private subnet to connect to the Internet or other AWS services, but prevent the Internet from initiating a connection with those instances.
If you have resources in multiple Availability Zones and they share one NAT gateway, and if the NAT gateway's Availability Zone is down, resources in the other Availability Zones lose Internet access. To create an Availability Zone-independent architecture, create a NAT gateway in each Availability Zone and configure your routing to ensure that resources use the NAT gateway in the same Availability Zone.
Hence, the correct answer is: Create a NAT Gateway in each availability zone. Configure the route table in each private subnet to ensure that instances use the NAT Gateway in the same availability zone. The option that says: Create a NAT Gateway in each availability zone. Configure the route table in each public subnet to ensure that instances use the NAT Gateway in the same availability zone is incorrect because you should configure the route table in the private subnet and not the public subnet to associate the right instances in the private subnet.
The options that say: Create two NAT Gateways in each availability zone. Configure the route table in each public subnet to ensure that instances use the NAT Gateway in the same availability zone and Create three NAT Gateways in each availability zone. Configure the route table in each private subnet to ensure that instances use the NAT Gateway in the same availability zone are both incorrect because a single NAT Gateway in each availability zone is enough. NAT Gateway is already redundant in nature, meaning, AWS already handles any failures that occur in your NAT Gateway in an availability zone.
References:
https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-gateway.html
https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-comparison.html Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/
NEW QUESTION # 163
A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.
What should a solutions architect do to accomplish this goal?
Answer: C
Explanation:
Explanation
https://aws.amazon.com/cn/blogs/security/how-to-connect-to-aws-secrets-manager-service-within-a-virtual-priva
https://aws.amazon.com/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-m
NEW QUESTION # 164
A video production company stores raw 4K video footage on an Amazon EFS file system by using the EFS Standard storage class. Each video file is around 100 GB. The EFS file system is mounted to an Auto Scaling group of Amazon EC2 instances that transcode the video files.
Editors need to access each file frequently for up to 90 days. After 90 days, the files are rarely needed. However, the files must remain available with sub-second latency for on-demand edit requests.
The company wants to reduce monthly storage costs without any changes to the existing mount points that the editors use.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Amazon EFS lifecycle management can automatically move files that have not been accessed for
90 days from EFS Standard to EFS Infrequent Access. This reduces storage cost while keeping the same EFS file system and mount points available to editors, with low-latency access when the files are needed again.
NEW QUESTION # 165
A company is developing a social media application. The company anticipates rapid and unpredictable growth in users and data volume. The application needs to handle a continuous high volume of user requests. User requests include long-running processes that store large amounts of user-generated content and user profiles in a relational format. The processes must run in a specific order.
The company requires an architecture that can scale resources to meet demand spikes without downtime or performance degradation. The company must ensure that the components of the application can evolve independently without affecting other parts of the system.
Which combination of AWS services will meet these requirements?
Answer: C
Explanation:
Using DynamoDB provides a scalable, high-throughput database suitable for unpredictable growth and high request volumes. AWS Lambda allows serverless, independently evolving components. DynamoDB Streams trigger Lambda functions for processing changes, and AWS Step Functions manage the order of long-running workflows, ensuring reliable, ordered execution while maintaining scalability and decoupling.
NEW QUESTION # 166
A solutions architect needs to build a log storage solution for a client. The client has an application that produces user activity logs that track user API calls to the application. The application typically produces 50 GB of logs each day. The client needs a storage solution that makes the logs available for occasional querying and analytics.
Answer: B
Explanation:
For infrequent or ad hoc querying of log data, Amazon S3 + Amazon Athena provides the most cost-effective, serverless, and scalable analytics solution.
From AWS Documentation:
"Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run." (Source: Amazon Athena User Guide) Why A is correct:
* Amazon S3 offers durable, scalable, and cost-efficient storage.
* Athena allows SQL-based querying on structured or semi-structured data like logs.
* No need to provision or manage infrastructure.
* Ideal for occasional querying at low cost.
Why the others are not optimal:
* Option B: OpenSearch adds cost and is best for frequent, low-latency log querying.
* Option C: RDS is not optimized for large-scale write-heavy log ingestion and costs more.
* Option D: CloudWatch Logs is suitable for real-time monitoring, not for long-term storage and analytics of large log volumes.
References:
Amazon Athena User Guide
AWS Well-Architected Framework - Cost Optimization Pillar
Amazon S3 Storage Classes and Pricing Guide
NEW QUESTION # 167
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