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NEW QUESTION: 1
A company is le-architecting a strongly coupled application to be loosely coupled Previously the application used a request/response pattern to communicate between tiers. The company plans to use Amazon Simple Queue Service (Amazon SQS) to achieve decoupling requirements. The initial design contains one queue for requests and one for responses However, this approach is not processing all the messages as the application scales.
What should a solutions architect do to resolve this issue?
A. Configure a FIFO queue, and use the message deduplication ID and message group ID.
B. Create a queue for each request and response on startup for each producer, and use a correlation ID message attribute.
C. Create a temporary queue, with the Temporary Queue Client to receive each response message.
D. Configure a dead-letter queue on the ReceiveMessage API action of the SQS queue.
Answer: D
NEW QUESTION: 2
An auction website enables users to bid on collectible items. The auction rules require that each bid is processed only once and in the order it was received. The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams.
A single t2.large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid. The auction site is growing in popularity, but users are complaining that some bids are not registering.
Troubleshooting indicates that the bid processor is too slow during peak demand hours, sometimes crashes while processing, and occasionally loses track of which records is being processed. What changes should make the bid processing more reliable?
A. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams. Refactor the bid processor to continuously the SQS queue. Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1.
B. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams. Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it.
C. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams. Refactor the bid processor to flag each record in Kinesis Data Streams as being unread, processing, and processed. At the start of each bid processing run, scan Kinesis Data Streams for unprocessed records.
D. Switch the EC2 instance type from t2.large to a larger general compute instance type. Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor, based on the IncomingRecords metric in Kinesis Data Streams.
Answer: A
Explanation:
A\B: Not feasible
C: FIFO is better in this case compared to Kinesis, as it guarantee the order of the bid. Min Max
1, is okay as the SQS will hold the queue in case of failure of the instance, till it come back again.
D: Still it does not solve the ordering issue.
NEW QUESTION: 3
コスト差異が負で、スケジュール差異が正の場合、プロジェクトは次のようになります。
A. 完了;すべての計画値が獲得されました。
B. 予算を超えており、予定より進んでいます。
C. 予定通り。
D. 予算不足で予定より遅れています。
Answer: B
NEW QUESTION: 4
Which of the following questions does the guidance in service strategy help to answer?
-What services should we offer and to whom?
-How do we differentiate ourselves from competing alternatives
-How do we create value for our customers?
A. All of the above
B. 2 only
C. 3 only
D. 1 only
Answer: A
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