ちなみに、Fast2test SAP-C02の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1Fr86ap7qpwJEDJY238u77vidiQxThKKz
人はそれぞれの夢を持っています。あなたの夢は何でしょうか。昇進ですか。あるいは高給ですか。私の夢はAmazonのSAP-C02認定試験に受かることです。この認証の証明書を持っていたら、全ての難問は解決できるようになりました。この試験に受かるのは難しいですが、大丈夫です。私はFast2testのAmazonのSAP-C02試験トレーニング資料を選びましたから。私が自分の夢を実現することを助けられますから。あなたもITに関する夢を持っていたら、速くFast2testのAmazonのSAP-C02試験トレーニング資料を選んでその夢を実現しましょう。Fast2testは絶対信頼できるサイトです。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Continuous Improvement for Existing Solutions | 25% | - Implement monitoring, logging, and observability - Apply security best practices and compliance updates - Refactor and modernize legacy applications - Optimize existing workloads for cost, performance, and security |
| Topic 2: Design for New Solutions | 29% | - Design for reliability and fault tolerance - Design secure and resilient architectures - Design high-performing and scalable solutions - Design cost-optimized architectures |
| Topic 3: Accelerate Workload Migration and Modernization | 20% | - Migrate applications, data, and infrastructure - Modernize applications and data platforms - Integrate AWS services with existing systems - Develop migration strategies and plans |
| Topic 4: Design Solutions for Organizational Complexity | 26% | - Design multi-account and multi-region architectures - Design for compliance and governance requirements - Design for operational excellence and automation - Design hybrid and multi-cloud networking |
SAP-C02模擬試験は、緊急の課題に対処するための最適な選択および有用なツールとなります。 10年以上の努力により、当社のSAP-C02トレーニング資料は、業界で最も広く称賛され、待望の製品になりました。革新メカニズムを近代化し、専門家の強力なプールを育成することにより、SAP-C02試験問題の3つのバージョンがあります。したがって、SAP-C02模擬テストの計画と設計において、プロのエリートからの完全な技術サポートをご安心ください。
質問 # 805
A company is collecting a large amount of data from a fleet of loT devices Data is stored as Optimized Row Columnar (ORC) files in the Hadoop Distributed File System (HDFS) on a persistent Amazon EMR cluster.
The company's data analytics team queries the data by using SQL in Apache Presto deployed on the same EMR cluster Queries scan large amounts of data, always run for less than 15 minutes, and run only between 5 PM and 10 PM.
The company is concerned about the high cost associated with the current solution A solutions architect must propose the most cost-effective solution that will allow SQL data queries Which solution will meet these requirements?
正解：B
解説：
Explanation
(https://stackoverflow.com/questions/50250114/athena-vs-redshift-spectrum)
質問 # 806
A finance company hosts a data lake in Amazon S3. The company receives financial data records over SFTP each night from several third parties. The company runs its own SFTP server on an Amazon EC2 instance in a public subnet of a VPC. After the files ate uploaded, they are moved to the data lake by a cron job that runs on the same instance. The SFTP server is reachable on DNS sftp.examWe.com through the use of Amazon Route 53.
What should a solutions architect do to improve the reliability and scalability of the SFTP solution?
正解：D
質問 # 807
A company implements a containerized application by using Amazon Elastic Container Service (Amazon ECS) and Amazon API Gateway. The application data is stored in Amazon Aurora databases and Amazon DynamoDB databases The company automates infrastructure provisioning by using AWS CloudFormation The company automates application deployment by using AWS CodePipeline.
A solutions architect needs to implement a disaster recovery (DR) strategy that meets an RPO of 2 hours and an RTO of 4 hours.
Which solution will meet these requirements MOST cost-effectively'?
正解：D
解説：
Explanation
https://aws.amazon.com/blogs/database/cost-effective-disaster-recovery-for-amazon-aurora-databases-using-aws
質問 # 808
A company uses AWS Organizations to manage its development environment. Each development team at the company has its own AWS account Each account has a single VPC and CIDR blocks that do not overlap.
The company has an Amazon Aurora DB cluster in a shared services account All the development teams need to work with live data from the DB cluster Which solution will provide the required connectivity to the DB cluster with the LEAST operational overhead?
正解：A
解説：
* Create a Transit Gateway:
* In the shared services account, create a new AWS Transit Gateway. This serves as a central hub to connect multiple VPCs, simplifying the network topology and management.
* Configure Transit Gateway Attachments:
* Attach the VPC containing the Aurora DB cluster to the transit gateway. This allows the shared services VPC to communicate through the transit gateway.
* Create Resource Share with AWS RAM:
* Use AWS Resource Access Manager (AWS RAM) to create a resource share for the transit gateway. Share this resource with all development accounts. AWS RAM allows you to securely share your AWS resources across AWS accounts without needing to duplicate them.
* Accept Resource Shares in Development Accounts:
* Instruct each development team to log into their respective AWS accounts and accept the transit gateway resource share. This step is crucial for enabling cross-account access to the shared transit gateway.
* Configure VPC Attachments in Development Accounts:
* Each development account needs to attach their VPC to the shared transit gateway. This allows their VPCs to route traffic through the transit gateway to the Aurora DB cluster in the shared services account.
* Update Route Tables:
* Update the route tables in each VPC to direct traffic intended for the Aurora DB cluster through the transit gateway. This ensures that network traffic is properly routed between the development VPCs and the shared services VPC.
Using a transit gateway simplifies the network management and reduces operational overhead by providing a scalable and efficient way to interconnect multiple VPCs across different AWS accounts.
References
* AWS Database Blog on RDS Proxy for Cross-Account Access#48#.
* AWS Architecture Blog on Cross-Account and Cross-Region Aurora Setup#49#.
* DEV Community on Managing Multiple AWS Accounts with Organizations#51#.
質問 # 809
A company is migrating infrastructure for its massive multiplayer game to AWS. The game's application features a leaderboard where players can see rankings in real time. The leaderboard requires microsecond reads and single-digit-millisecond write latencies. The datasets are single-digit terabytes in size and must be available to accept writes in less than a minute if a primary node failure occurs.
The company needs a solution in which data can persist for further analytical processing through a data pipeline.
Which solution will meet these requirements with the LEAST operational overhead?
正解：D
解説：
Comprehensive and Detailed Explanation From Exact Extract:
The workload is a real-time leaderboard that needs extremely low latency: microsecond reads and single-digit millisecond writes. It also needs rapid failover (accepting writes in less than a minute after a primary node failure) and minimal operational overhead. Additionally, the data must be durable enough to persist and be used later for analytics through a data pipeline.
Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database service designed for microsecond read latency and low-millisecond write latency while also providing durability through a distributed transaction log. MemoryDB is designed to be a primary database rather than a cache and supports Multi-AZ configurations with fast failover. These characteristics match the leaderboard's latency requirements and the availability requirement to resume writes quickly after a failure. Because MemoryDB is fully managed, it has less operational overhead than running Redis on EC2.
Option C is the best choice because MemoryDB provides Redis compatibility, in-memory performance, Multi- AZ high availability, and durability that supports data persistence for downstream processing. The durability aspect is especially important for feeding analytics pipelines, because the data is not only cached but is retained as a database record.
Option A is not the best choice because Amazon ElastiCache for Redis is primarily used as a cache. While it can be configured for replication and can achieve low latency, it is not positioned as a durable primary data store in the same way as MemoryDB for Redis. For requirements that explicitly combine extremely low latency with persistence and database-like durability, MemoryDB is the more appropriate managed service with lower operational overhead than building custom durability mechanisms.
Option B is not suitable because Amazon RDS for MySQL typically cannot meet microsecond read latency, and write latencies are usually higher than single-digit milliseconds for non-trivial workloads. Also, read replicas do not provide multi-writer capability and do not ensure sub-minute write availability in all failure scenarios without additional architecture and failover handling.
Option D has the highest operational overhead because it requires the company to operate Redis on EC2:
instance management, patching, scaling, replication, failover automation, monitoring, and backup/restore processes. This does not meet the requirement for the least operational overhead compared to fully managed services.
Therefore, an Amazon MemoryDB cluster in Multi-AZ mode provides the required ultra-low latency, rapid failover for write availability, durability for persistence, and least operational overhead.
References:AWS documentation on Amazon MemoryDB for Redis, including Redis compatibility, microsecond read latency, Multi-AZ availability, fast failover, and durability suitable for primary database use.
AWS documentation on the positioning of Amazon ElastiCache for Redis as an in-memory caching service and MemoryDB as a durable in-memory database.
質問 # 810
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