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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design High-Performing Architectures | 24% | - Design high-performance storage solutions
|
| Topic 2: Design Resilient Architectures | 26% | - Design for reliability and recovery
|
| Topic 3: Design Secure Architectures | 30% | - Design secure access to AWS resources
|
| Topic 4: Design Cost-Optimized Architectures | 20% | - Control and monitor costs
|
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NEW QUESTION # 529
An online gaming company is transitioning user data storage to Amazon DynamoDB to support the company's growing user base. The current architecture includes DynamoDB tables that contain user profiles, achievements, and in-game transactions.
The company needs to design a robust, continuously available, and resilient DynamoDB architecture to maintain a seamless gaming experience for users.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
DynamoDB Global Tables provide a fully managed, multi-region, and multi-master database solution that allows you to deploy DynamoDB tables in multiple AWS Regions. This ensures high availability and resiliency across different geographical locations, providing a seamless gaming experience for users. Using provisioned capacity mode with auto-scaling ensures cost-efficiency by scaling up or down based on actual demand.
* Option A: While on-demand capacity mode is flexible, provisioned capacity with auto-scaling is more cost-effective for predictable workloads.
* Option B (DAX): DAX improves read performance, but it doesn't provide the multi-region replication needed for high availability and resiliency.
* Option C: DynamoDB Streams with manual cross-region replication adds more complexity and operational overhead compared to Global Tables.
AWS References:
* DynamoDB Global Tables
NEW QUESTION # 530
A company is running a two-tier web-based application in an on-premises data center. The application layer consists of a single server running a stateful application. The application connects to a PostgreSQL database running on a separate server. The user base is expected to grow significantly, so the company is migrating the application and database to AWS. The solution will use Amazon Aurora PostgreSQL, Amazon EC2 Auto Scaling, and Elastic Load Balancing.
Which solution will provide a consistent user experience that will allow the application and database tiers to scale?
Answer: A
Explanation:
The application is described as stateful, which means user sessions or state are likely stored in memory on the application server. When migrating to an Auto Scaling group behind a load balancer, a consistent user experience typically requires session stickiness, so a user's subsequent requests continue to be routed to the same backend instance that holds their session state (unless the application is refactored to externalize session state, which is not stated here). For HTTP/HTTPS web applications, an Application Load Balancer (ALB) is the correct Elastic Load Balancing choice because it operates at Layer 7 and provides built-in support for cookie-based sticky sessions.
On the database side, Aurora PostgreSQL supports scaling read capacity by adding Aurora Replicas, and Aurora Auto Scaling can automatically adjust the number of replicas based on demand. This is the intended mechanism to scale the database tier for growing read traffic while preserving write consistency through a single writer. "Aurora writers" do not scale horizontally the same way; Aurora provides one writer endpoint at a time (with fast failover), so auto-scaling "writers" is not the right construct for demand-based scaling.
Option C combines the correct load balancer type (ALB) with stickiness and the correct database scaling mechanism (Aurora Replicas with auto scaling). Option A uses an NLB, which is Layer 4 and does not provide the same Layer 7 sticky session behavior expected for a web application pattern. Options B and D incorrectly focus on scaling Aurora writers, which does not address scaling demand patterns as effectively as scaling read replicas.
Therefore, C provides the most consistent user experience for a stateful web tier and enables the database tier to scale using Aurora Replica auto scaling.
NEW QUESTION # 531
A healthcare provider is planning to store patient data on AWS as PDF files. To comply with regulations, the company must encrypt the data and store the files in multiple locations. The data must be available for immediate access from any environment.
Answer: C
Explanation:
Amazon S3 with the Standard storage class is the best solution:
* Encryption: SSE-S3 ensures server-side encryption of the data, meeting compliance requirements.
* Immediate access: The Standard storage class provides low-latency and high-throughput access to data.
* Multi-location storage: Cross-Region replication ensures data is stored in multiple AWS Regions for redundancy.
Why Other Options Are Not Ideal:
* Option B:
* Amazon EFS is more costly and suited for file systems rather than object storage.Not cost- effective.
* Option C:
* Amazon EBS is block storage and not optimized for object storage like PDFs. Backup schedules do not ensure immediate availability.Not suitable.
* Option D:
* S3 Glacier Flexible Retrieval is designed for archival, not immediate access.Does not meet access requirements.
AWS References:
* Amazon S3 Standard Storage:AWS Documentation - S3 Storage Classes
* Amazon S3 Cross-Region Replication:AWS Documentation - Cross-Region Replication
* AWS Encryption Options:AWS Documentation - S3 Encryption
NEW QUESTION # 532
A company wants to deploy its containerized application workloads to a VPC across three Availability Zones. The company needs a solution that is highly available across Availability Zones. The solution must require minimal changes to the application. Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Amazon ECS is the lowest-overhead choice because it avoids the control-plane and node- management work of EKS or raw EC2 while still supporting highly available multi-AZ placement.
AWS ECS guidance notes that the service scheduler canspread tasks across Availability Zones, and target tracking scaling is a standard way to scale ECS services based on demand. Setting a minimum capacity of 3 ensures at least one task can remain in each Availability Zone, improving resilience. The EC2 and EKS options require more infrastructure management, and Lambda is not the right fit for generic containerized application workloads. Therefore, ECS with spread placement across AZs and service auto scaling is the best answer.
NEW QUESTION # 533
A company has an On-Demand EC2 instance with an attached EBS volume. There is a scheduled job that creates a snapshot of this EBS volume every midnight at 12 AM when the instance is not used.
One night, there has been a production incident where you need to perform a change on both the instance and on the EBS volume at the same time when the snapshot is currently taking place.
Which of the following scenario is true when it comes to the usage of an EBS volume while the snapshot is in progress?
Answer: B
Explanation:
Snapshots occur asynchronously; the point-in-time snapshot is created immediately, but the status of the snapshot is pending until the snapshot is complete (when all of the modified blocks have been transferred to Amazon S3), which can take several hours for large initial snapshots or subsequent snapshots where many blocks have changed.
While it is completing, an in-progress snapshot is not affected by ongoing reads and writes to the volume hence, you can still use the EBS volume normally.
When you create an EBS volume based on a snapshot, the new volume begins as an exact replica of the original volume that was used to create the snapshot. The replicated volume loads data lazily in the background so that you can begin using it immediately. If you access data that hasn't been loaded yet, the volume immediately downloads the requested data from Amazon S3, and then continues loading the rest of the volume's data in the background.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-creating-snapshot.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSSnapshots.html
Check out this Amazon EBS Cheat Sheet:
https://tutorialsdojo.com/amazon-ebs/
NEW QUESTION # 534
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