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최신 AWS Certified Solutions Architect SAA-C03 무료샘플문제 (Q464-Q469):

질문 # 464
A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to runcommands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.
What should the developer do to resolve this issue?

A. Ensure that point-in-time recovery is enabled on the DynamoDB tables.
B. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.
C. Ensure that DynamoDB streaming is enabled for the tables.
D. Ensure that DynamoDB Accelerator (DAX) is enabled.

정답：A

설명：
Export Requirements:
To export data from DynamoDB to Amazon S3, point-in-time recovery (PITR) must be enabled for the tables. This feature creates a snapshot of the data, which is essential for exports.
Incorrect Options Analysis:
Option B: S3 buckets and DynamoDB tables do not need to be in the same region for exports.
Option C: DynamoDB streams are unrelated to the export functionality.
Option D: DAX accelerates reads but has no role in exports.
Reference:
Exporting DynamoDB Data to Amazon S3

질문 # 465
A company must migrate 20 TB of data from a data center to the AWS Cloud within 30 days. The company's network bandwidth is limited to 15 Mbps and cannot exceed 70% utilization. What should a solutions architect do to meet these requirements?

A. Use a secure VPN connection.
B. Use Amazon S3 Transfer Acceleration.
C. Use AWS DataSync.
D. Use AWS Snowball.

정답：D

설명：
AWS Snowball is a secure data transport solution that accelerates moving large amounts of data into and out of the AWS cloud. It can move up to 80 TB of data at a time, and provides a network bandwidth of up to 50 Mbps, so it is well-suited for the task. Additionally, it is secure and easy to use, making it the ideal solution for this migration.

질문 # 466
A solutions architect is storing sensitive data generated by an application in Amazon S3. The solutions architect wants to encrypt the data at rest. A company policy requires an audit trail of when the AWS KMS key was used and by whom.
Which encryption option will meet these requirements?

A. Server-side encryption with customer-provided keys (SSE-C)
B. Server-side encryption with Amazon S3 managed keys (SSE-S3)
C. Server-side encryption with self-managed keys
D. Server-side encryption with AWS KMS managed keys (SSE-KMS)

정답：D

설명：
Comprehensive and Detailed Explanation From Exact Extract of Amazon Web Services (AWS) Architect documents:
SSE-KMS (Server-Side Encryption with AWS KMS) provides:
Encryption at rest using KMS customer managed keys.
Full audit trail through AWS CloudTrail.
"When you use SSE-KMS to protect your data in Amazon S3, you get additional benefits including separate permissions for the use of the KMS key and an audit trail of key usage using CloudTrail."
- Encrypting Data Using AWS KMS
This meets the requirement for both encryption and key usage auditing.
Incorrect Options:
A: SSE-S3 provides encryption but no key usage auditing.
C: SSE-C puts the burden of key management and has no logging.
D: Self-managed keys do not integrate with CloudTrail natively.
Reference:
Server-Side Encryption with AWS KMS (SSE-KMS)
AWS KMS and CloudTrail Integration

질문 # 467
[Design Secure Architectures]
A company wants to analyze and troubleshoot Access Denied errors and Unauthonzed errors that are related to IAM permissions The company has AWS CloudTrail turned on Which solution will meet these requirements with the LEAST effort?

A. Search CloudTrail logs with Amazon QuickSight. Create a dashboard to identify the errors.
B. Use AWS Glue and write custom scripts to query CloudTrail logs for the errors
C. Search CloudTrail logs with Amazon Athena queries to identify the errors
D. Use AWS Batch and write custom scripts to query CloudTrail logs for the errors

정답：C

설명：
This solution meets the following requirements:
It is the least effort, as it does not require any additional AWS services, custom scripts, or data processing steps. Amazon Athena is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to query CloudTrail logs directly from the S3 bucket where they are stored, without any data loading or transformation. You can also use the AWS Management Console, the AWS CLI, or the Athena API to run and manage your queries.
It is effective, as it allows you to filter, aggregate, and join CloudTrail log data using SQL syntax. You can use various SQL functions and operators to specify the criteria for identifyingAccess Denied and Unauthorized errors, such as the error code, the user identity, the event source, the event name, the event time, and the resource ARN. You can also use subqueries, views, and common table expressions to simplify and optimize your queries.
It is flexible, as it allows you to customize and save your queries for future use. You can also export the query results to other formats, such as CSV or JSON, or integrate them with other AWS services, such as Amazon QuickSight, for further analysis and visualization.
Reference:
Querying AWS CloudTrail Logs - Amazon Athena
Analyzing Data in S3 using Amazon Athena | AWS Big Data Blog
Troubleshoot IAM permisson access denied or unauthorized errors | AWS re:Post

질문 # 468
A company is building an application that consists of several microservices. The company has decided to use container technologies to deploy its software on AWS. The company needs a solution that minimizes the amount of ongoing effort for maintenance and scaling. The company cannot manage additional infrastructure.
Which combination of actions should a solutions architect take to meet these requirements? (Choose two.)

A. Deploy an Amazon Elastic Container Service (Amazon ECS) service with an Amazon EC2 launch type.
Specify a desired task number level of greater than or equal to 2.
B. Deploy the Kubernetes control plane on Amazon EC2 instances that span multiple Availability Zones.
C. Deploy Kubernetes worker nodes on Amazon EC2 instances that span multiple Availability Zones.
Create a deployment that specifies two or more replicas for each microservice.
D. Deploy an Amazon Elastic Container Service (Amazon ECS) cluster.
E. Deploy an Amazon Elastic Container Service (Amazon ECS) service with a Fargate launch type.
Specify a desired task number level of greater than or equal to 2.

정답：D,E

설명：
AWS Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters of Amazon EC2 instances. With Fargate, you no longer have to provision, configure, or scale clusters of virtual machines to run containers.https://docs.aws.amazon.com/AmazonECS/latest/userguide
/what-is-fargate.html

질문 # 469
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