SAA-C03 Prüfungsfragen Prüfungsvorbereitungen, SAA-C03 Fragen und Antworten, AWS Certified Solutions Architect - Associate

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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Design Resilient Architectures	26%	- Fault tolerance and recovery 1. Backup and restore strategies 2. Disaster recovery approaches - Highly available architecture 1. Auto Scaling groups 2. Multi-AZ deployments
Design Secure Architectures	30%	- Secure access to AWS resources 1. IAM users, roles, and policies 2. Encryption in transit and at rest 3. AWS STS and temporary credentials - Secure workloads and applications 1. Security groups and NACLs 2. Data protection using KMS
Design Cost-Optimized Architectures	20%	- Cost management tools 1. AWS Cost Explorer 2. Budgets and billing alarms - Cost-effective resource selection 1. Right-sizing EC2 instances 2. Storage class optimization in S3
Design High-Performing Architectures	24%	- Compute and storage optimization 1. EC2 instance selection 2. S3 performance features - Performance scaling 1. Caching with CloudFront and ElastiCache 2. Load balancing with ELB

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Amazon AWS Certified Solutions Architect - Associate SAA-C03 Prüfungsfragen mit Lösungen (Q716-Q721):

716. Frage
A company has an application that uses an Amazon DynamoDB table for storage. A solutions architect discovers that many requests to the table are not returning the latest data. Users have not reported latency or performance issues. Which design change should the solutions architect recommend?

A. Request eventually consistent reads for the table.
B. Add read replicas to the table.
C. Use a global secondary index (GSI).
D. Request strongly consistent reads for the table.

Antwort: D

Begründung:
Amazon DynamoDB supports two read consistency models: eventually consistent reads and strongly consistent reads. By default, DynamoDB uses eventual consistency, which means reads might not immediately reflect the most recent writes. This behavior explains why the application is not always receiving the latest data.
Because latency and performance are acceptable, the problem is not throughput or response time--it is data consistency. Therefore, the correct design change is to enable strongly consistent reads, which guarantee that reads always return the most up-to-date data after a successful write.
Option C is correct because strongly consistent reads ensure that the application sees the latest committed value for an item. This is critical for use cases such as inventory systems, user profiles, or transactional workflows where stale data can cause incorrect behavior.

717. Frage
A company wants to implement a disaster recovery plan for its primary on-premises file storage volume. The file storage volume is mounted from an Internet Small Computer Systems Interface (iSCSI) device on a local storage server. The file storage volume holds hundreds of terabytes (TB) of data.
The company wants to ensure that end users retain immediate access to all file types from the on-premises systems without experiencing latency.
Which solution will meet these requirements with the LEAST amount of change to the company's existing infrastructure?

A. Provision an AWS Storage Gateway Volume Gateway stored volume with the same amount of disk space as the existing file storage volume. Mount the Volume Gateway stored volume to the existing file server by using iSCSI, and copy all files to the storage volume. Configure scheduled snapshots of the storage volume. To recover from a disaster, restore a snapshot to an Amazon Elastic Block Store (Amazon EBS) volume and attach the EBS volume to an Amazon EC2 instance.
B. Provision an AWS Storage Gateway Volume Gateway cached volume. Set the local cache to 10 TB.
Mount the Volume Gateway cached volume to the existing file server by using iSCSI. and copy all files to the storage volume. Configure scheduled snapshots of the storage volume. To recover from a disaster, restore a snapshot to an Amazon Elastic Block Store (Amazon EBS) volume and attach the EBS volume to an Amazon EC2 instance.
C. Provision an Amazon S3 File Gateway as a virtual machine (VM) that is hosted on premises. Set the local cache to 10 TB. Modify existing applications to access the files through the NFS protocol. To recover from a disaster, provision an Amazon EC2 instance and mount the S3 bucket that contains the files.
D. Provision an AWS Storage Gateway tape gateway. Use a data backup solution to back up all existing data to a virtual tape library. Configure the data backup solution to run nightly after the initial backup is complete. To recover from a disaster, provision an Amazon EC2 instance and restore the data to an Amazon Elastic Block Store (Amazon EBS) volume from the volumes in the virtual tape library.

Antwort: A

Begründung:
Explanation
"The company wants to ensure that end users retain immediate access to all file types from the on-premises systems " - Cached volumes: low latency access to most recent data - Stored volumes: entire dataset is on premise, scheduled backups to S3 Hence Volume Gateway stored volume is the apt choice.

718. Frage
A company currently runs an on-premises stock trading application by using Microsoft Windows Server. The company wants to migrate the application to the AWS Cloud. The company needs to design a highly available solution that provides low-latency access to block storage across multiple Availability Zones. Which solution will meet these requirements with the LEAST implementation effort?

A. Deploy the application on Amazon EC2 instances in two Availability Zones Configure one EC2 instance as active and the second EC2 instance in standby mode. Use an Amazon FSx for NetApp ONTAP Multi-AZ file system to access the data by using Internet Small Computer Systems Interface (iSCSI) protocol.
B. Configure a Windows Server cluster that spans two Availability Zones on Amazon EC2 instances. Install the application on both cluster nodes Use Amazon Elastic Block Store (Amazon EBS) General Purpose SSD (gp3) volumes as storage attached to the EC2 instances. Set up application-level replication to sync data from one EBS volume in one Availability Zone to another EBS volume in the second Availability Zone.
C. Configure a Windows Server cluster that spans two Availability Zones on Amazon EC2 instances. Install the application on both cluster nodes. Use Amazon FSx for Windows File Server as shared storage between the two cluster nodes.
D. Deploy the application on Amazon EC2 instances in two Availability Zones. Configure one EC2 instance as active and the second EC2 instance in standby mode. Use Amazon Elastic Block Store (Amazon EBS) Provisioned IOPS SSD (io2) volumes as storage attached to the EC2 instances. Set up Amazon EBS level replication to sync data from one io2 volume in one Availability Zone to another io2 volume in the second Availability Zone.

Antwort: C

Begründung:
This solution is designed to provide high availability and low-latency access to block storage across multiple Availability Zones with minimal implementation effort.
Windows Server Cluster Across AZs: Configuring a Windows Server Failover Cluster (WSFC) that spans two Availability Zones ensures that the application can failover from one instance to another in case of a failure, meeting the high availability requirement.
Amazon FSx for Windows File Server: FSx for Windows File Server provides fully managed Windows file storage that is accessible via the SMB protocol, which is suitable for Windows-based applications. It offers high availability and can be used as shared storage between the cluster nodes, ensuring that both nodes have access to the same data with low latency.
Why Not Other Options?:
Option B (EBS with application-level replication): This requires complex configuration and management, as EBS volumes cannot be directly shared across AZs. Application-level replication is more complex and prone to errors.
Option C (FSx for NetApp ONTAP with iSCSI): While this is a viable option, it introduces additional complexity with iSCSI and requires more specialized knowledge for setup and management.
Option D (EBS with EBS-level replication): EBS-level replication is not natively supported across AZs, and setting up a custom replication solution would increase the implementation effort.
AWS Reference:
Amazon FSx for Windows File Server - Overview and benefits of using FSx for Windows File Server.
Windows Server Failover Clustering on AWS - Guide on setting up a Windows Server cluster on AWS.

719. Frage
Question:
A company wants to migrate an application that uses a microservice architecture to AWS. The services currently run on Docker containers on-premises. The application has an event-driven architecture that uses Apache Kafka. The company configured Kafka to use multiple queues to send and receive messages. Some messages must be processed by multiple services. Which solution will meet these requirements with the LEAST management overhead?
Options:

A. Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Deploy an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster to handle service-to-service communication.
B. Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Deploy a Kafka cluster on EC2 instances to handle service-to-service communication.
C. Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Create multiple Amazon Simple Queue Service (Amazon SQS) queues to handle service-to- service communication.
D. Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Use Amazon EventBridge to handle service-to-service communication.

Antwort: A

Begründung:
Comprehensive and Detailed Explanation:
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. By using Amazon ECS with the AWS Fargate launch type, you can run containers without managing servers or clusters. This combination reduces operational overhead and provides scalability.
Reference: Power your Kafka Streams application with Amazon MSK and AWS FargateAmazon Web Services, Inc.

720. Frage
An ecommerce company hosts a three-tier web application in a VPC. The web tier runs on Amazon EC2 instances in two Availability Zones. The company stores a product catalog and customer sales information in Amazon DynamoDB.
The company's finance team uses a reporting application to generate reports of daily product sales. When the finance team runs the daily reports, a sudden performance decrease affects website customers.
The company wants to improve the performance of the system.
Which solution will meet these requirements with MINIMAL changes to the current architecture?

A. Implement DynamoDB Accelerator (DAX).
B. Migrate the application to larger EC2 instances. Migrate the database to Amazon RDS for MySQL.
Configure a read replica of the database in a second Availability Zone.
C. Increase the compute capacity of the EC2 instances. Migrate the database to Amazon ElastiCache (Memcached).
D. Configure DynamoDB streams.

Antwort: A

Begründung:
DynamoDB Accelerator (DAX) is a fully managed, in-memory cache for DynamoDB that delivers up to a
10x performance improvement-even at millions of requests per second. DAX requires minimal changes to existing applications and offloads the read workload from DynamoDB during report generation.
Reference Extract:
"DAX provides in-memory acceleration for DynamoDB tables, reducing response times from milliseconds to microseconds with minimal application changes." Source: AWS Certified Solutions Architect - Official Study Guide, DynamoDB and Performance section.

721. Frage
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