SAA-C03最新練習資料、SAA-C03練習問題集、SAA-C03試験内容

21世紀には、{Examcode}認定は受験者の特定の能力を表すため、社会でますます認知されるようになりました。ただし、{Examcode}認定を取得するには、SAA-C03試験の準備に多くの時間を費やす必要があります。SAA-C03模擬試験を購入すると、当社のウェブサイトはプロの技術を使用してすべてのユーザーのプライバシーを暗号化し、ハッカーの盗用を防ぎます。私たちは、ビジネスがお客様のために十分に考慮された場合にのみ継続できると考えているため、当社の評判を損なうような行為は一切行いません。 SAA-C03試験問題に完全な信頼を寄せていただければ幸いです。失望することはありません。

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SAA-C03試験の準備方法｜効果的なSAA-C03復習範囲試験｜ユニークなAWS Certified Solutions Architect - Associate勉強時間

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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) 試験は、AWS の設計と展開におけるスケーラブルで高可用性かつ耐障害性のシステムのスキルと知識を検証するために Amazon Web Services (AWS) が提供する認定試験です。この認定は、AWS プラットフォーム上で分散型アプリケーションとシステムを設計する経験を持ち、様々な AWS サービスとベストプラクティスを使用することができる人々を対象としています。

認定を取得するには、SAA-C03試験に合格する必要があります。この試験は、65問の多肢選択と多肢選択式の問題から構成されており、130分以内に回答する必要があります。試験はコンピュータベースで、テストセンターまたはリモートで受験することができます。試験の合格点は1000点中720点です。

Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q16-Q21):

質問 # 16
[Design Secure Architectures]
A company hosts an application in a private subnet. The company has already integrated the application with Amazon Cognito. The company uses an Amazon Cognito user pool to authenticate users.
The company needs to modify the application so the application can securely store user documents in an Amazon S3 bucket.
Which combination of steps will securely integrate Amazon S3 with the application? (Select TWO.)

A. Use the existing Amazon Cognito user pool to generate Amazon S3 access tokens for users when they successfully log in.
B. Create an Amazon Cognito identity pool to generate secure Amazon S3 access tokens for users when they successfully log in.
C. Create an Amazon S3 VPC endpoint in the same VPC where the company hosts the application.
D. Create a NAT gateway in the VPC where the company hosts the application. Assign a policy to the S3 bucket to deny any request that is not initiated from Amazon Cognito.
E. Attach a policy to the S3 bucket that allows access only from the users' IP addresses.

正解：B、C

解説：
To securely integrate Amazon S3 with an application that uses Amazon Cognito for user authentication, the following two steps are essential:
Step 1: Create an Amazon Cognito Identity Pool (Option A)
Amazon Cognito Identity Poolsallow users to obtain temporary AWS credentials to access AWS resources, such as Amazon S3, after successfully authenticating with the Cognito user pool. The identity pool bridges the gap between user authentication and AWS service access by generating temporary credentials using AWS Identity and Access Management (IAM).
Once a user logs in using theCognito User Pool, the identity pool providesIAM roles with specific permissionsthat the application can use to access S3 securely. This ensures that each user has appropriate access controls while accessing the S3 bucket.
This is a secure way to ensure that users only have temporary and least-privilege access to the S3 bucket for their documents.
Step 2: Create an Amazon S3 VPC Endpoint (Option C)
By creating anAmazon S3 VPC endpoint, the company ensures that communication between the application (which is hosted in a private subnet) and the S3 bucket occurs over theAWS private network, without the need to traverse the internet. This enhances security and prevents exposure of data to public networks.
TheVPC endpointallows the application to access the S3 bucket privately and securely within the VPC. It also ensures that traffic stays within the AWS network, reducing attack surface and improving overall security.
Why the Other Options Are Incorrect:
Option B: This is incorrect becauseAmazon Cognito User Poolsare used for user authentication, not for generating S3 access tokens. To provide S3 access, you need to useAmazon Cognito Identity Pools, which offer AWS credentials.
Option D: ANAT gatewayis unnecessary in this scenario. Using aVPC endpointfor S3 access provides a more secure and cost-effective solution by keeping traffic within AWS.
Option E: Attaching a policy to restrict access based on IP addresses is not scalable or efficient. It would require managing users' dynamic IP addresses, which is not an effective security measure for this use case.
AWS Reference:
Amazon Cognito Identity Pools
Amazon VPC Endpoints for S3

質問 # 17
A company regularly uploads GB-sized files to Amazon S3. After Ihe company uploads the files, the company uses a fleet of Amazon EC2 Spot Instances to transcode the file format. The company needs to scale throughput when the company uploads data from the on-premises data center to Amazon S3 and when Ihe company downloads data from Amazon S3 to the EC2 instances.
gUkicn solutions will meet these requirements? (Select TWO.)

A. Use the S3 bucket access point instead of accessing the S3 bucket directly.
B. Fetch multiple byte-ranges of an object in parallel. fe
C. Add a random prefix to each object when uploading the files.
D. Upload the files into multiple S3 buckets.
E. Use S3 multipart uploads.

正解：B、E

解説：
Requirement Analysis: The company needs to scale throughput for uploading large files to S3 and downloading them to EC2 instances.
S3 Multipart Uploads: This method allows for the parallel upload of parts of a file, improving upload efficiency and reliability.
Parallel Fetching: Fetching multiple byte-ranges in parallel from S3 improves download performance.
Implementation:
For uploads, use the S3 multipart upload API to upload files in parallel.
For downloads, use the S3 API to request multiple byte-ranges concurrently.
Conclusion: These solutions effectively scale throughput and improve the performance of both uploads and downloads.
Reference
S3 Multipart Upload: Amazon S3 Multipart Upload
Parallel Fetching: S3 Byte-Range Fetches

質問 # 18
A company needs to ingest and analyze telemetry data from vehicles at scale for machine learning and reporting.
Which solution will meet these requirements?

A. Use Amazon DynamoDB to store data points. Use DynamoDB Connector to ingest data into Amazon EMR for processing. Use Amazon QuickSight to visualize the data.
B. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker permission to access the data. Use Amazon Athena to visualize the data.
C. Use Amazon Neptune to store data points. Use Amazon Kinesis Data Streams to ingest data into a Lambda function for processing. Use Amazon QuickSight to visualize the data.
D. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker permission to access the data. Use Amazon QuickSight to visualize the data.

正解：D

解説：
* Amazon Timestream is purpose-built for storing and analyzing time-series data like telemetry.
* Option A leverages Timestream, SageMaker for ML, and QuickSight for visualization, meeting all requirements with minimal complexity.
* Option B involves more complex DynamoDB-EMR integration.
* Option C uses Neptune, which is designed for graph databases, not telemetry data.
* Option D incorrectly uses Athena for visualization instead of QuickSight.

質問 # 19
[Design Secure Architectures]
A company wants to enhance its ecommerce order-processing application that is deployed on AWS. The application must process each order exactly once without affecting the customer experience during unpredictable traffic surges.
Which solution will meet these requirements?

A. Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Put all the orders in the SQS queue. Configure an AWS Lambda function as the target to process the orders.
B. Create a flow by using Amazon AppFlow. Send the orders to the flow. Configure an AWS Lambda function as the target to process the orders.
C. Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Publish all the orders to the SNS standard topic. Configure the application as a notification target.
D. Configure AWS X-Ray in the application to track the order requests. Configure the application to process the orders by pulling the orders from Amazon CloudWatch.

正解：A

解説：
Amazon SQS FIFO queues guarantee the order of message delivery and ensure that each message is delivered exactly once. Paired with AWS Lambda, this creates a scalable, fault-tolerant architecture that processes each order in order and prevents duplicates, which is critical for ecommerce workflows.
Reference:

質問 # 20
A solutions architect is provisioning an Amazon Elastic File System (Amazon EFS) file system to provide shared storage across multiple Amazon EC2 instances. The instances all exist in the same VPC across multiple Availability Zones. There are two instances in each Availability Zone. The solutions architect must make the file system accessible to each instance with the lowest possible latency.
Which solution will meet these requirements?

A. Create a mount target for the EFS file system in the VPC. Use the mount target to mount the file system on each of the instances.
B. Create a mount target for each instance. Use each mount target to mount the EFS file system on each respective instance.
C. Create a mount target in each Availability Zone of the VPC. Use the mount target to mount the EFS file system on the instances in the respective Availability Zone.
D. Create a mount target for the EFS file system in one Availability Zone of the VPC. Use the mount target to mount the file system on the instances in that Availability Zone. Share the directory with the other instances.

正解：C

解説：
Amazon EFS requires a mount target in each Availability Zone where EC2 instances access the file system.
This is because each mount target provides an elastic network interface in the subnet and AZ, reducing network latency by allowing EC2 instances to communicate locally with the EFS mount target. Creating a mount target in each AZ optimizes file system access performance and availability. Instances mount the EFS file system via the mount target in their respective AZ, which provides the lowest possible latency and avoids cross-AZ traffic.
Option A, with only a single mount target in the VPC, will cause cross-AZ traffic for instances in other AZs, increasing latency and potentially incurring data transfer costs. Option B is incomplete and introduces complexity with sharing directories across instances. Option C is invalid because mount targets are per AZ and per subnet, not per instance.
References:
Amazon EFS Overview (https://docs.aws.amazon.com/efs/latest/ug/whatisefs.html) Creating Mount Targets (https://docs.aws.amazon.com/efs/latest/ug/manage-fs-access.html#creating-mount- targets) AWS Well-Architected Framework - Performance Efficiency Pillar (https://d1.awsstatic.com/whitepapers
/architecture/AWS_Well-Architected_Framework.pdf)

質問 # 21
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