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| Section | Weight | Objectives |
|---|---|---|
| Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
|
| Design Secure Architectures | 30% | - Design secure workloads and applications
|
| Design High-Performing Architectures | 24% | - Determine high-performing database solutions
|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized storage solutions
|
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NEW QUESTION # 366
[Design Secure Architectures]
A company's developers want a secure way to gain SSH access on the company's Amazon EC2 instances that run the latest version of Amazon Linux. The developers work remotely and in the corporate office.
The company wants to use AWS services as a part of the solution. The EC2 instances are hosted in a VPC private subnet and access the internet through a NAT gateway that is deployed in a public subnet.
What should a solutions architect do to meet these requirements MOST cost-effectively?
Answer: A
Explanation:
AWS Systems Manager Session Manager is a service that enables you to securely connect to your EC2 instances without using SSH keys or bastion hosts. You can use Session Manager to access your instances through the AWS Management Console, the AWS CLI, or the AWS SDKs. Session Manager uses IAM policies and roles to control who can access which instances. By attaching the AmazonSSMManagedlnstanceCore IAM policy to an IAM role that is associated with the EC2 instances, you grant the Session Manager service the necessary permissions to perform actions on your instances. You also need to attachanother IAM policy to the developers' IAM users or roles that allows them to start sessions to the instances. Session Manager uses the AWS Systems Manager Agent (SSM Agent) that is installed by default on Amazon Linux 2 and other supported Linux distributions. Session Manager also encrypts all session data between your client and your instances, and streams session logs to Amazon S3, Amazon CloudWatch Logs, or both for auditing purposes. This solution is the most cost-effective, as it does not require any additional resources or services, such as bastion hosts, VPN connections, or NAT gateways. It also simplifies the security and management of SSH access, as it eliminates the need for SSH keys, port opening, or firewall rules. Reference:
What is AWS Systems Manager?
Setting up Session Manager
Getting started with Session Manager
Controlling access to Session Manager
Logging Session Manager activity
NEW QUESTION # 367
A company wants to use an API to translate text from one language to another. The API must receive an HTTP header value and pass the value to an embedded library. The API translates documents in 6 minutes. The API requires a custom authorization mechanism.
Answer: A
Explanation:
TheAWS_PROXY integration with Amazon API Gatewayallows the API to invoke a Lambda function synchronously, making it a suitable solution for the custom authorization mechanism and text translation use case.
Synchronous Invocation: The API Gateway REST API with AWS_PROXY integration enables synchronous processing of HTTP requests and responses, which is required for document translation.
Custom Authorization: API Gateway supports custom authorizers for fine-grained access control.
Lambda Function Execution: Although Lambda's execution time limit is 15 minutes, this is sufficient for the 6-minute document translation requirement.
Why Other Options Are Not Ideal:
Option B:
Introducing a Lambda function URL to invoke another Lambda function unnecessarily complicates the architecture.Not efficient.
Option C:
Asynchronous invocation cannot guarantee real-time response delivery for document translation tasks.Not suitable.
Option D:
Hosting the API on an EC2 instance increases operational overhead. HTTP PROXY integration does not add significant benefits here.Not cost-effective or efficient.
AWS Reference:
API Gateway Lambda Proxy Integration:AWS Documentation - Proxy Integration Custom Authorization in API Gateway:AWS Documentation - Custom Authorization
NEW QUESTION # 368
A media streaming company needs to deploy its video processing application across multiple Availability Zones for high availability. The application consists of containerized microservices that process video files. The microservices must automatically recover from failures. Which solution meets these requirements with the LEAST operational overhead?
Answer: A
Explanation:
The requirements emphasize high availability across multiple Availability Zones, automatic recovery, and least operational overhead. The simplest way to achieve this for containerized microservices is to use a fully managed container orchestration service with serverless compute.
Amazon ECS with the Fargate launch type provides exactly that.
With ECS Fargate, AWS manages the underlying compute infrastructure (no EC2 instances to provision, patch, scale, or secure at the OS level). You define task definitions and services, and ECS schedules tasks across Availability Zones based on your networking configuration (multiple subnets in different AZs). If a container fails, ECS service scheduling automatically replaces it, fulfilling the "recover from failures" requirement. Fargate also integrates with load balancing, CloudWatch logging, and scaling policies, reducing the operational burden of keeping the platform healthy.
NEW QUESTION # 369
A company has a multi-tier application deployed on several Amazon EC2 instances in an Auto Scaling group.
An Amazon RDS for Oracle instance is the application's data layer that uses Oracle-specific PL/SQL functions. Traffic to the application has been steadily increasing. This is causing the EC2 instances to become overloaded and the RDS instance to run out of storage. The Auto Scaling group does not have any scaling metrics and defines the minimum healthy instance count only. The company predicts that traffic will continue to increase at a steady but unpredictable rate before levelling off.
What should a solutions architect do to ensure the system can automatically scale for the increased traffic?
(Select TWO.)
Answer: D,E
Explanation:
Auto scaling storage RDS will ease storage issues and migrating Oracle Pl/Sql to Aurora is cumbersome. Also Aurora has auto storage scaling by default. https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide
/USER_PIOPS.StorageTypes.html#USER_PIOPS.Autoscaling
NEW QUESTION # 370
A company uses a legacy application to produce data in CSV format The legacy application stores the output data In Amazon S3 The company is deploying a new commercial off-the-shelf (COTS) application that can perform complex SQL queries to analyze data that is stored Amazon Redshift and Amazon S3 only However the COTS application cannot process the csv files that the legacy application produces The company cannot update the legacy application to produce data in another format The company needs to implement a solution so that the COTS application can use the data that the legacy applicator produces.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
This solution meets the requirements of implementing a solution so that the COTS application can use the data that the legacy application produces with the least operational overhead. AWS Glue is a fully managed service that provides a serverless ETL platform to prepare and load data for analytics. AWS Glue can process data in various formats, including .csv files, and store the processed data in Amazon Redshift, which is a fully managed data warehouse service that supports complex SQL queries. AWS Glue can run ETL jobs on a schedule, which can automate the data processing and loading process.
Option B is incorrect because developing a Python script that runs on Amazon EC2 instances to convert the
.csv files to sql files can increase the operational overhead and complexity, and it may not provide consistent data processing and loading for the COTS application. Option C is incorrect because creating an AWS Lambda function and an Amazon DynamoDB table to process the .csv files and store the processed data in the DynamoDB table does not meet the requirement of using Amazon Redshift as the data source for the COTS application. Option D is incorrect because using Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule to process the .csv files and store the processed data in an Amazon Redshift table can increase the operational overhead and complexity, and it may not provide timely data processing and loading for the COTS application.
References:
https://aws.amazon.com/glue/
https://aws.amazon.com/redshift/
NEW QUESTION # 371
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