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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam 認定 SAA-C03 試験問題 (Q287-Q292):
質問 # 287
A company runs a photo processing application that needs to frequently upload and download pictures from Amazon S3 buckets that are located in the same AWS Region. A solutions architect has noticed an increased cost in data transfer fees and needs to implement a solution to reduce these costs.
How can the solutions architect meet this requirement?
- A. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets.
- B. Deploy the application Into a public subnet and allow it to route through an internet gateway to access the S3 Buckets
- C. Deploy a NAT gateway into a public subnet and attach an end point policy that allows access to the S3 buckets.
- D. Deploy Amazon API Gateway into a public subnet and adjust the route table to route S3 calls through It.
正解：A
解説：
The correct answer is Option D. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets. By deploying an S3 VPC gateway endpoint, the application can access the S3 buckets over a private network connection within the VPC, eliminating the need for data transfer over the internet. This can help reduce data transfer fees as well as improve the performance of the application.
The endpoint policy can be used to specify which S3 buckets the application has access to.
質問 # 288
A company is looking for a solution that can store video archives in AWS from old news footage. The company needs to minimize costs and will rarely need to restore these files. When the h|es are needed, they must be available in a maximum of five minutes.
What is the MOST cost-effective solution?
- A. Store the video archives in Amazon S3 Standard-Infrequent Access (S3 Standard-IA).
- B. Store the video archives in Amazon S3 Glacier and use Expedited retrievals.
- C. Store the video archives in Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA)
- D. Store the video archives in Amazon S3 Glacier and use Standard retrievals.
正解：B
解説：
Amazon S3 Glacier is a storage class that provides secure, durable, and extremely low-cost storage for data archiving and long-term backup. It is designed for data that is rarely accessed and for which retrieval times of several hours are suitable1. By storing the video archives in Amazon S3 Glacier, the solution can minimize costs.
Amazon S3 Glacier offers three options for data retrieval: Expedited, Standard, and Bulk. Expedited retrievals typically return data in 1-5 minutes and are suitable for Active Archive use cases. Standard retrievals typically complete within 3-5 hours and are suitable for less urgent needs. Bulk retrievals typically complete within 5-12 hours and are the lowest-cost retrieval option2. By using Expedited retrievals, the solution can meet the requirement of restoring the files in a maximum of five minutes.
1. Store the video archives in Amazon S3 Glacier and use Standard retrievals. This solution will not meet the requirement of restoring the files in a maximum of five minutes, as Standard retrievals typically complete within 3-5 hours.
2. Store the video archives in Amazon S3 Standard-Infrequent Access (S3 Standard-IA). This solution will not meet the requirement of minimizing costs, as S3 Standard-IA is a storage class that provides low-cost storage for data that is accessed less frequently but requires rapid access when needed. It has a higher storage cost than S3 Glacier.
3. Store the video archives in Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA). This solution will not meet the requirement of minimizing costs, as S3 One Zone-IA is a storage class that provides low-cost storage for data that is accessed less frequently but requires rapid access when needed. It has a higher storage cost than S3 Glacier.
Reference URL: https://aws.amazon.com/s3/glacier/
質問 # 289
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?
- 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 primary DB instance.
- 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.
- C. Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Direct the reporting functions to use the reader instance in the cluster deployment
- D. Use Amazon RDS deployed in a Multi-AZ instance deployment to create an Amazon Aurora database.Direct the reporting functions to the reader instances.
正解：D
解説：
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/
質問 # 290
A company requires all the data stored in the cloud to be encrypted at rest. To easily integrate this with other AWS services, they must have full control over the encryption of the created keys and also the ability to immediately remove the key material from AWS KMS. The solution should also be able to audit the key usage independently of AWS CloudTrail.
Which of the following options will meet this requirement?
- A. Use AWS Key Management Service to create AWS-managed CMKs and store the non-extractable key material in AWS CloudHSM.
- B. Use AWS Key Management Service to create a CMK in a custom key store and store the non- extractable key material in AWS CloudHSM.
- C. Use AWS Key Management Service to create a CMK in a custom key store and store the non- extractable key material in Amazon S3.
- D. Use AWS Key Management Service to create AWS-owned CMKs and store the non-extractable key material in AWS CloudHSM.
正解：B
解説：
The AWS Key Management Service (KMS) custom key store feature combines the controls provided by AWS CloudHSM with the integration and ease of use of AWS KMS. You can configure your own CloudHSM cluster and authorize AWS KMS to use it as a dedicated key store for your keys rather than the default AWS KMS key store. When you create keys in AWS KMS you can choose to generate the key material in your CloudHSM cluster. CMKs that are generated in your custom key store never leave the HSMs in the CloudHSM cluster in plaintext and all AWS KMS operations that use those keys are only performed in your HSMs.
AWS KMS can help you integrate with other AWS services to encrypt the data that you store in these services and control access to the keys that decrypt it. To immediately remove the key material from AWS KMS, you can use a custom key store. Take note that each custom key store is associated with an AWS CloudHSM cluster in your AWS account. Therefore, when you create an AWS KMS CMK in a custom key store, AWS KMS generates and stores the non-extractable key material for the CMK in an AWS CloudHSM cluster that you own and manage. This is also suitable if you want to be able to audit the usage of all your keys independently of AWS KMS or AWS CloudTrail.
Since you control your AWS CloudHSM cluster, you have the option to manage the lifecycle of your CMKs independently of AWS KMS. There are four reasons why you might find a custom key store useful:
You might have keys that are explicitly required to be protected in a single-tenant HSM or in an HSM over which you have direct control.
You might have keys that are required to be stored in an HSM that has been validated to FIPS 140-2 level 3 overall (the HSMs used in the standard AWS KMS key store are either validated or in the process of being validated to level 2 with level 3 in multiple categories).
You might need the ability to immediately remove key material from AWS KMS and to prove you have done so by independent means.
You might have a requirement to be able to audit all use of your keys independently of AWS KMS or AWS CloudTrail.
Hence, the correct answer in this scenario is: Use AWS Key Management Service to create a CMK in a custom key store and store the non-extractable key material in AWS CloudHSM.
The option that says: Use AWS Key Management Service to create a CMK in a custom key store and store the non-extractable key material in Amazon S3 is incorrect because Amazon S3 is not a suitable storage service to use in storing encryption keys. You have to use AWS CloudHSM instead.
The options that say: Use AWS Key Management Service to create AWS-owned CMKs and store the non-extractable key material in AWS CloudHSM and Use AWS Key Management Service to create AWS- managed CMKs and store the non-extractable key material in AWS CloudHSM are both incorrect because the scenario requires you to have full control over the encryption of the created key. AWS- owned CMKs and AWS-managed CMKs are managed by AWS. Moreover, these options do not allow you to audit the key usage independently of AWS CloudTrail. References:
https://docs.aws.amazon.com/kms/latest/developerguide/custom-key-store-overview.html
https://aws.amazon.com/kms/faqs/
https://aws.amazon.com/blogs/security/are-kms-custom-key-stores-right-for-you/ Check out this AWS KMS Cheat Sheet:
https://tutorialsdojo.com/aws-key-management-service-aws-kms/
質問 # 291
A solutions architect is designing a highly available Amazon ElastiCache for Redis based solution. The solutions architect needs to ensure that failures do not result in performance degradation or loss of data locally and within an AWS Region. The solution needs to provide high availability at the node level and at the Region level.
Which solution will meet these requirements?
- A. Use a Multi-AZ Redis cluster with more than one read replica in the replication group.
- B. Use Multi-AZ Redis replication groups with shards that contain multiple nodes.
- C. Use Redis shards that contain multiple nodes with Auto Scaling turned on.
- D. Use Redis shards that contain multiple nodes with Redis append only files (AOF) tured on.
正解：B
解説：
Explanation
This answer is correct because it provides high availability at the node level and at the Region level for the ElastiCache for Redis solution. A Multi-AZ Redis replication group consists of a primary cluster and up to five read replica clusters, each in a different Availability Zone. If the primary cluster fails, one of the read replicas is automatically promoted to be the new primary cluster. A Redis replication group with shards enables partitioning of the data across multiple nodes, which increases the scalability and performance of the solution. Each shard can have one or more replicas to provide redundancy and read scaling.
References:
* https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoFailover.html
* https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Shards.html
質問 # 292
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