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AWS-Solutions-Architect-Professional認定は、AWS上で複雑なシステムを設計・展開することに興味を持つ個人にとって、貴重な資格です。この認定は、個人の高度な技術力とAWSのベストプラクティスに関する知識を証明します。この認定試験に合格することは、クラウドコンピューティング分野でキャリアを進めたい専門家にとって、重要な成果です。
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AWS-Solutions-Architect-Professionalソフトウエア & AWS-Solutions-Architect-Professional日本語版問題解説
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AWS-Solutions-Architect-Professional認定を取得することにより、AWSアーキテクチャとデザインにおける高度な専門知識と熟練度を証明することができます。この認定は、複雑なAWSシステムの設計、展開、および管理能力を証明することで、専門家のキャリアを進め、収益性を高めることができます。
AWS認定ソリューションアーキテクト - プロフェッショナル試験は、AWSサービスとソリューションを深く理解する必要がある非常に挑戦的な試験です。この試験では、AWSアーキテクチャ、設計原則、展開、移行、最適化など、幅広いトピックをカバーしています。この試験に合格するには、候補者は、組織のニーズを満たす複雑なAWSソリューションを設計および展開する能力を実証する必要があります。
Amazon AWS Certified Solutions Architect - Professional 認定 AWS-Solutions-Architect-Professional 試験問題 (Q314-Q319):
質問 # 314
Your customer is willing to consolidate their log streams (access logs, application logs, security logs, etc.) in one single system. Once consolidated, the customer wants to analyze these logs in real time based on heuristics. From time to time, the customer needs to validate heuristics, which requires going back to data samples extracted from the last 12 hours.
What is the best approach to meet your customer's requirements?
- A. Send all the log events to Amazon SQS, setup an Auto Scaling group of EC2 servers to consume the logs and apply the heuristics.
- B. Setup an Auto Scaling group of EC2 syslogd servers, store the logs on S3, use EMR to apply heuristics on the logs
- C. Configure Amazon CloudTrail to receive custom logs, use EMR to apply heuristics the logs
- D. Send all the log events to Amazon Kinesis, develop a client process to apply heuristics on the logs
正解：D
解説：
Explanation
The throughput of an Amazon Kinesis stream is designed to scale without limits via increasing the number of shards within a stream. However, there are certain limits you should keep in mind while using Amazon Kinesis Streams:
By default, Records of a stream are accessible for up to 24 hours from the time they are added to the stream.
You can raise this limit to up to 7 days by enabling extended data retention.
The maximum size of a data blob (the data payload before Base64-encoding) within one record is 1 megabyte (MB).
Each shard can support up to 1000 PUT records per second.
For more information about other API level limits, see Amazon Kinesis Streams Limits.
質問 # 315
A solutions architect is designing the data storage and retrieval architecture for a new application that a company will be launching soon. The application is designed to ingest millions of small records per minute from devices a around the world. Each record is less than 4 KB in size and needs to be stored in a durable location where it can be retrieved with low latency. The data is ephemeral and the company is required to store the data for
120 days only, after which the data can be deleted.
The solutions architect calculates that, during the course of a year, the storage requirements would be about
10-15 TB.
Which storage strategy is the MOST cost-effective and meets the design requirements?
- A. Design the application to store each incoming record in an Amazon DynamoDB table properly configured for the scale. Configure the DynamoDB Time to Live (TTL) feature to delete records older than 120 days.
- B. Design the application to store each incoming record in a single table in an Amazon RDS MySQL database. Run a nightly cron job that executes a query to delete any records older than 120 days.
- C. Design the application to store each incoming record as a single .csv file in an Amazon S3 bucket to allow for indexed retrieval. Configure a lifecycle policy to delete data older than 120 days.
- D. Design the application to batch incoming records before writing them to an Amazon S3 bucket. Update the metadata for the object to contain the list of records in the batch and use the Amazon S3 metadata search the feature to retrieve the data. Configure a lifecycle policy to delete the data after 120 days.
正解：D
質問 # 316
An organization has hosted an application on the EC2 instances. There will be multiple users connecting to the instance for setup and configuration of application. The organization is planning to implement certain security best practices.
Which of the below mentioned pointers will not help the organization achieve better security arrangement?
- A. Create a procedure to revoke the access rights of the individual user when they are not required to connect to EC2 instance anymore for the purpose of application configuration.
- B. Allow only IAM users to connect with the EC2 instances with their own secret access key.
- C. Disable the password based login for all the users. All the users should use their own keys to connect with the instance securely.
- D. Apply the latest patch of OS and always keep it updated.
正解：B
解説：
Explanation
Since AWS is a public cloud any application hosted on EC2 is prone to hacker attacks. It becomes extremely important for a user to setup a proper security mechanism on the EC2 instances. A few of the security measures are listed below:
Always keep the OS updated with the latest patch
Always create separate users with in OS if they need to connect with the EC2 instances, create their keys and disable their password Create a procedure using which the admin can revoke the access of the user when the business work on the EC2 instance is completed. Lock down unnecessary ports.
Audit any proprietary applications that the user may be running on the EC2 instance Provide temporary escalated privileges, such as sudo for users who need to perform occasional privileged tasks The IAM is useful when users are required to work with AWS resources and actions, such as launching an instance. It is not useful to connect (RDP / SSH) with an instance.
http://aws.amazon.com/articles/1233/
質問 # 317
A financial services company receives a regular data feed from its credit card servicing partner Approximately
5.000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption. This feed contains sensitive credit card primary account number (PAN) data The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable.
Which solutions will meet these requirements?
- A. automatically scale to a single instance when the SOS queue contains messages. Have the application process each record, and transform the record into JSON format. When the queue is empty, send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance.
- B. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Trigger another Lambda function when new messages arrive in the SOS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SOS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.
- C. Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.
- D. Tigger an AWS Lambda function on file delivery that extracts each record and wntes it to an Amazon SOS queue. Configure an AWS Fargate container application to
- E. Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match. Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, send the results to another S3 bucket for internal processing and scale down the EMR cluster.
正解：A
解説：
Explanation
You can use a Glue crawler to populate the AWS Glue Data Catalog with tables. The Lambda function can be triggered using S3 event notifications when object create events occur. The Lambda function will then trigger the Glue ETL job to transform the records masking the sensitive data and modifying the output format to JSON. This solution meets all requirements.
Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON.
Once complete, have the ETL job send the results to another S3 bucket for internal processing.
https://docs.aws.amazon.com/glue/latest/dg/trigger-job.html
https://d1.awsstatic.com/Products/product-name/diagrams/product-page-diagram_Glue_Event-driven-ETL-Pipel
質問 # 318
A bucket owner has allowed another account's IAM users to upload or access objects in his bucket. The IAM user of Account A is trying to access an object created by the IAM user of account B.
What will happen in this scenario?
- A. AWS S3 will verify proper rights given by the owner of Account A, the bucket owner as well as by the IAM user B to the object
- B. The bucket policy may not be created as S3 will give error due to conflict of Access Rights
- C. It is not possible that the IAM user of one account accesses objects of the other IAM user
- D. It is not possible to give permission to multiple IAM users
正解：A
解説：
If a IAM user is trying to perform some action on an object belonging to another AWS user's bucket, S3 will verify whether the owner of the IAM user has given sufficient permission to him. It also verifies the policy for the bucket as well as the policy defined by the object owner.
http://docs.aws.amazon.com/AmazonS3/latest/dev/access-control-auth-workflow-object- operation.html
質問 # 319
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