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| Section | Weight | Objectives |
|---|---|---|
| Design High-Performing Architectures | 24% | - Design high-performance storage solutions
|
| Design Cost-Optimized Architectures | 20% | - Design cost-effective compute and network solutions
|
| Design Resilient Architectures | 26% | - Design for reliability and recovery
|
| Design Secure Architectures | 30% | - Design secure workloads and applications
|
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NEW QUESTION # 829
A company uses an Amazon S3 bucket as its data lake storage platform The S3 bucket contains a massive amount of data that is accessed randomly by multiple teams and hundreds of applications. The company wants to reduce the S3 storage costs and provide immediate availability for frequently accessed objects. What is the MOST operationally efficient solution that meets these requirements?
Answer: C
Explanation:
Amazon S3 Intelligent-Tiering: This storage class is designed to optimize costs by automatically moving data between two access tiers (frequent and infrequent) when access patterns change. It provides cost savings without performance impact or operational overhead. S3 Lifecycle Rules:
By creating an S3 Lifecycle rule, the company can automatically transition objects to the Intelligent-Tiering storage class. This eliminates the need for manual intervention and ensures that objects are moved to the most cost-effective storage tier based on their access patterns.
Operational Efficiency: Intelligent-Tiering requires no additional management and delivers immediate availability for frequently accessed objects. This makes it the most operationally efficient solution for the given requirements.
NEW QUESTION # 830
A technology company has a suite of container-based web applications and serverless solutions that are hosted in AWS. The Solutions Architect must define a standard infrastructure that will be used across development teams and applications. There are application-specific resources too that change frequently, especially during the early stages of application development. Developers must be able to add supplemental resources to their applications, which are beyond what the architects predefined in the system environments and service templates.
Which of the following should be implemented to satisfy this requirement?
Answer: C
Explanation:
AWS Proton allows you to deploy any serverless or container-based application with increased efficiency, consistency, and control. You can define infrastructure standards and effective continuous delivery pipelines for your organization. Proton breaks down the infrastructure into environment and service ("infrastructure as code" templates).
As a developer, you select a standardized service template that AWS Proton uses to create a service that deploys and manages your application in a service instance. An AWS Proton service is an instantiation of a service template, which normally includes several service instances and a pipeline.
The diagram above displays the high-level overview of a simple AWS Proton workflow.
In AWS Proton administrators define standard infrastructure that is used across development teams and applications. However, development teams might need to include additional resources for their specific use cases, like Amazon Simple Queue Service (Amazon SQS) queues or Amazon DynamoDB tables.
These application-specific resources might change frequently, particularly during early application development. Maintaining these frequent changes in administrator-authored templates might be hard to manage and scale-administrators would need to maintain many more templates without real administrator added value. The alternative-letting application developers author templates for their applications-isn't ideal either, because it takes away administrators' ability to standardize the main architecture components, like AWS Fargate tasks. This is where components come in.
With a component, a developer can add supplemental resources to their application, above and beyond what administrators defined in environment and service templates. The developer then attaches the component to a service instance. AWS Proton provisions infrastructure resources defined by the component just like it provisions resources for environments and service instances.
Hence, the correct answer is: Set up AWS Proton for deploying container applications and serverless solutions. Create components from the AWS Proton console and attach them to their respective service instance.
The option that says: Use the Amazon EKS Anywhere service for deploying container applications and serverless solutions. Create a service instance for each application-specific resource is incorrect.
Amazon EKS Anywhere just allows you to manage a Kubernetes cluster on external environments that are supported by AWS. It is better to use AWS Proton with custom Components that can be attached to the different service instances of the company's application suite.
The option that says: Set up AWS Control Tower to automate container-based application deployments.
Use AWS Config for application-specific resources that change frequently is incorrect. AWS Control Tower is used to simplify the creation of new accounts with preconfigured constraints. It isn't used to automate application deployments. Moreover, AWS Config is commonly used for monitoring the changes of AWS resources and not the custom resources for serverless or container-based applications in AWS.
A combination of AWS Proton and Components is the most suitable solution for this scenario.
The option that says: Use the Amazon Elastic Container Service (ECS) Anywhere service for deploying container applications and serverless solutions. Configure Prometheus metrics collection on the ECS cluster and use Amazon Managed Service for Prometheus for monitoring frequently-changing resources is incorrect. The Amazon Managed Service for Prometheus is only a Prometheus-compatible monitoring and alerting service that makes it easy to monitor containerized applications and infrastructure at scale.
It is not capable of tracking or maintaining your application-specific resources that change frequently.
References:
https://docs.aws.amazon.com/proton/latest/userguide/Welcome.html
https://aws.amazon.com/blogs/architecture/simplifying-multi-account-ci-cd-deployments-using-aws-proto n/
NEW QUESTION # 831
A company is using an Amazon Redshift cluster to run analytics queries for multiple sales teams.
In addition to the typical workload, on the last Monday morning of each month, thousands of users run reports. Users have reported slow response times during the monthly surge. The company must improve query performance without impacting the availability of the Redshift cluster. Which solution will meet these requirements?
Answer: B
Explanation:
Concurrency Scaling allows Amazon Redshift to add transient capacity automatically to handle bursts in concurrent queries. This is ideal for scenarios with predictable surge periods, such as end-of-month reporting.
It improves performance without manual resizing or cluster modification and without affecting availability. Resizing requires manual intervention and potential downtime, and Redshift Spectrum is designed for querying data in S3, not for solving concurrency issues.
NEW QUESTION # 832
A company has NFS servers in an on-premises data center that need to periodically back up small amounts of data to Amazon S3. Which solution meets these requirements and is MOST cost-effective?
Answer: C
Explanation:
AWS DataSync is a service that makes it easy to move large amounts of data online between on-premises storage and AWS storage services. AWS DataSync can transfer data at speeds up to 10 times faster than open-source tools by using a purpose-built network protocol and parallelizing data transfers. AWS DataSync also handles encryption, data integrity verification, and bandwidth optimization. To use AWS DataSync, users need to deploy a DataSync agent on their on-premises servers, which connects to the NFS servers and syncs the data to Amazon S3. Users can schedule periodic or one-time sync tasks and monitor the progress and status of the transfers.
The other options are not correct because they are either not cost-effective or not suitable for the use case. Setting up AWS Glue to copy the data from the on-premises servers to Amazon S3 is not cost-effective because AWS Glue is a serverless data integration service that is mainly used for extract, transform, and load (ETL) operations, not for simple data backup. Setting up an SFTP sync using AWS Transfer for SFTP to sync data from on premises to Amazon S3 is not cost-effective because AWS Transfer for SFTP is a fully managed service that provides secure file transfer using the SFTP protocol, which is more suitable for exchanging data with third parties than for backing up data. Setting up an AWS Direct Connect connection between the on-premises data center and a VPC, and copying the data to Amazon S3 is not cost-effective because AWS Direct Connect is a dedicated network connection between AWS and the on-premises location, which has high upfront costs and requires additional configuration.
Reference:
AWS DataSync
How AWS DataSync works
AWS DataSync FAQs
NEW QUESTION # 833
A company is planning to migrate customer records to an Amazon S3 bucket. The company needs to ensure that customer records are protected against unauthorized access and are encrypted in transit and at rest. The company must monitor all access to the S3 bucket. What solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Encryption at Rest: AWS Key Management Service (AWS KMS) provides centralized control over the cryptographic keys used to protect data. By using AWS KMS with Amazon S3, you can manage encryption keys and define policies to control access to them.
Encryption in Transit: By enforcing the aws: SecureTransport condition in the S3 bucket policy, you ensure that all data is transmitted over HTTPS, protecting data in transit.
Access Control: IAM policies allow you to define fine-grained permissions for users and roles, ensuring that only authorized entities can access the customer records.
Monitoring: AWS CloudTrail provides a record of actions taken by a user, role, or AWS service in Amazon S3, enabling you to monitor access to the records.
NEW QUESTION # 834
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