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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design High-Performing Architectures | 24% | - Compute and storage optimization
|
| Topic 2: Design Resilient Architectures | 26% | - Highly available architecture
|
| Topic 3: Design Secure Architectures | 30% | - Secure access to AWS resources
|
| Topic 4: Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
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NEW QUESTION # 683
A company has an on-premises server that uses an Oracle database to process and store customer information The company wants to use an AWS database service to achieve higher availability and to improve application performance. The company also wants to offload reporting from its primary database system.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: A
Explanation:
Explanation
Amazon Aurora is a fully managed relational database that is compatible with MySQL and PostgreSQL. It provides up to five times better performance than MySQL and up to three times better performance than PostgreSQL. It also provides high availability and durability by replicating data across multiple Availability Zones and continuously backing up data to Amazon S31. By using Amazon RDS deployed in a Multi-AZ instance deployment to create an Amazon Aurora database, the solution can achieve higher availability and improve application performance.
Amazon Aurora supports read replicas, which are separate instances that share the same underlying storage as the primary instance. Read replicas can be used to offload read-only queries from the primary instance and improve performance. Read replicas can also be used for reporting functions2. By directing the reporting functions to the reader instances, the solution can offload reporting from its primary database system.
A: Use AWS Database Migration Service (AWS DMS) to create an Amazon RDS DB instance in multiple AWS Regions Point the reporting functions toward a separate DB instance from the pri-mary DB instance.
This solution will not meet the requirement of using an AWS database service, as AWS DMS is a service that helps users migrate databases to AWS, not a database service itself. It also involves creating multiple DB instances in different Regions, which may increase complexity and cost.
B: Use Amazon RDS in a Single-AZ deployment to create an Oracle database Create a read replica in the same zone as the primary DB instance. Direct the reporting functions to the read replica. This solution will not meet the requirement of achieving higher availability, as a Single-AZ deployment does not provide failover protection in case of an Availability Zone outage. It also involves using Oracle as the database engine, which may not provide better performance than Aurora.
C: Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Di-rect the reporting functions to use the reader instance in the cluster deployment. This solution will not meet the requirement of improving application performance, as Oracle may not provide better performance than Aurora. It also involves using a cluster deployment, which is only supported for Aurora, not for Oracle.
Reference URL: https://aws.amazon.com/rds/aurora/
NEW QUESTION # 684
A company stores a large dataset for an online advertising business in an Amazon RDS for MySQL DB instance. The company wants to run business reporting queries on the data without affecting write operations to the DB instance.
Which solution will meet these requirements?
Answer: D
Explanation:
Amazon RDS for MySQL supports read replicas that offload read-intensive workloads such as reporting, leaving the primary instance free for write operations.
"You can use Amazon RDS read replicas to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads."
- Working with Read Replicas
This is the recommended approach for minimizing performance impact on the primary DB instance.
NEW QUESTION # 685
A retail company has several businesses. The IT team for each business manages its own AWS account. Each team account is part of an organization in AWS Organizations. Each team monitors its product inventory levels in an Amazon DynamoDB table in the team's own AWS account.
The company is deploying a central inventory reporting application into a shared AWS account. The application must be able to read items from all the teams' DynamoDB tables.
Which authentication option will meet these requirements MOST securely?
Answer: D
Explanation:
This solution meets the requirements most securely because it uses IAM roles and the STS AssumeRole API operation to authenticate and authorize the inventory application to access the DynamoDB tables in different accounts. IAM roles are more secure than IAM users or certificates because they do not require long-term credentials or passwords. Instead, IAM roles provide temporary security credentials that are automatically rotated and can be configured with a limited duration. The STS AssumeRole API operation enables you to request temporary credentials for a role that you are allowed to assume. By using this operation, you can delegate access to resources that are in different AWS accounts that you own or that are owned by third parties. The trust policy of the role defines which entities can assume the role, and the permissions policy of the role defines which actions can be performed on the resources. By using this solution, you can avoid hard-coding credentials or certificates in the inventory application, and you can also avoid storing them in Secrets Manager or ACM. You can also leverage the built-in security features of IAM and STS, such as MFA, access logging, and policy conditions.
References:
IAM Roles
STS AssumeRole
Tutorial: Delegate Access Across AWS Accounts Using IAM Roles
NEW QUESTION # 686
[Design High-Performing Architectures]
A company wants to rearchitect a large-scale web application to a serverless microservices architecture. The application uses Amazon EC2 instances and is written in Python.
The company selected one component of the web application to test as a microservice. The component supports hundreds of requests each second. The company wants to create and test the microservice on an AWS solution that supports Python. The solution must also scale automatically and require minimal infrastructure and minimal operational support.
Which solution will meet these requirements?
Answer: B
Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You can use Lambda to create and test microservices that are written in Python or other supported languages. Lambda scales automatically to handle the number of requests per second. You only pay for the compute time you consume. Lambda also integrates with other AWS services, such as Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon SQS, to enable event-driven architectures. Lambda has minimal infrastructure andoperational overhead, as you do not need to manage servers, operating systems, patches, or scaling policies.
The other options are not serverless solutions and require more infrastructure and operational support. They also do not scale automatically to handle the number of requests per second. A Spot Fleet is a collection of EC2 instances that run on spare capacity at low prices. However, Spot Instances can be interrupted by AWS at any time, which can affect the availability and performance of your microservice. AWS Elastic Beanstalk is a service that automates the deployment and management of web applications on EC2 instances. However, you still need to provision, configure, and monitor the underlying EC2 instances and load balancers. Amazon EKS is a service that runs Kubernetes on AWS. However, you still need to create, configure, and manage the EC2 instances that form the Kubernetes cluster and nodes. You also need to install and update the Kubernetes software and tools.
Reference:
What is AWS Lambda?
Building Lambda functions with Python
Create a layer for a Lambda Python function
AWS Lambda - Function in Python
How do I call my AWS Lambda function from a local python script?
NEW QUESTION # 687
A media company stores movies in Amazon S3. Each movie is stored in a single video file that ranges from 1 GB to 10 GB in size.
The company must be able to provide the streaming content of a movie within 5 minutes of a user purchase. There is higher demand for movies that are less than 20 years old than for movies that are more than 20 years old. The company wants to minimize hosting service costs based on demand.
Which solution will meet these requirements?
Answer: A
Explanation:
This solution will meet the requirements of minimizing hosting service costs based on demand and providing the streaming content of a movie within 5 minutes of a user purchase. S3 Intelligent-Tiering is a storage class that automatically optimizes storage costs by moving data to the most cost-effective access tier when access patterns change. It is suitable for data with unknown, changing, or unpredictable access patterns, such as newer movies that may have higher demand1. S3 Glacier Flexible Retrieval is a storage class that provides low-cost storage for archive data that is retrieved asynchronously. It offers flexible data retrieval options from minutes to hours, and free bulk retrievals in 5-12 hours. It is ideal for backup, disaster recovery, and offsite data storage needs2. By using expedited retrieval, the user can access the older movie video file in 1-5 minutes, which meets the requirement of 5 minutes3.
NEW QUESTION # 688
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