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NEW QUESTION: 1
ネットワークエンジニアは、これらのコマンドを使用してイーサネットスイッチを構成しました。
Switchone（config）＃スパニングツリーportfast bpdufilterデフォルト
スイッチのスパニングツリーPortFast機能に関する説明は正しいですか？
A. portfastがBDPUを受信できるようにインターフェイスが有効になっている場合、ポートはスパニングツリーの不整合状態になります。
B. portfastがBDPUを受信するためにインターフェイスが有効になっている場合、ポートはスパニングツリーのリスニング、ラーニング、およびフォワーディングステートを通過します。
C. portfastがBDPUを受信できるようにインターフェイスが有効になっている場合、ポートはすぐにシャットダウンされます。
D. portfastがBDPUを受信するようにインターフェイスが有効になっている場合、ポートはスパニングツリーのリスニング、ラーニング、およびフォワーディングステートを通過しません。
Answer: B
Explanation:
STP PortFast causes a Layer 2 LAN interface configured as an access port to enter the forwarding state immediately, bypassing the listening and learning states.
However, the "Spanning-tree portfast bpdufilter default" command specifies that if a BPDU is received on that port, then the default action of STP of listening, learning, and forwarding states should be used.
NEW QUESTION: 2
Refer to the architecture diagram above of a batch processing solution using Simple Queue Service (SQS) to set up a message queue between EC2 instances which are used as batch processors Cloud Watch monitors the number of Job requests (queued messages) and an Auto Scaling group adds or deletes batch servers automatically based on parameters set in Cloud Watch alarms.
You can use this architecture to implement which of the following features in a cost effective and efficient manner?
A. Implement fault tolerance against EC2 instance failure since messages would remain in SQS and worn can continue with recovery of EC2 instances implement fault tolerance against SQS failure by backing up messages to S3.
B. Coordinate number of EC2 instances with number of job requests automatically thus Improving cost effectiveness.
C. Handle high priority jobs before lower priority jobs by assigning a priority metadata field to SQS messages.
D. Implement message passing between EC2 instances within a batch by exchanging messages through SQS.
E. Reduce the overall lime for executing jobs through parallel processing by allowing a busy EC2 instance that receives a message to pass it to the next instance in a daisy-chain setup.
Answer: B
Explanation:
Explanation
There are cases where a large number of batch jobs may need processing, and where the jobs may need to be re-prioritized.
For example, one such case is one where there are differences between different levels of services for unpaid users versus subscriber users (such as the time until publication) in services enabling, for example, presentation files to be uploaded for publication from a web browser. When the user uploads a presentation file, the conversion processes, for example, for publication are performed as batch processes on the system side, and the file is published after the conversion. Is it then necessary to be able to assign the level of priority to the batch processes for each type of subscriber?
Explanation of the Cloud Solution/Pattern
A queue is used in controlling batch jobs. The queue need only be provided with priority numbers. Job requests are controlled by the queue, and the job requests in the queue are processed by a batch server. In Cloud computing, a highly reliable queue is provided as a service, which you can use to structure a highly reliable batch system with ease. You may prepare multiple queues depending on priority levels, with job requests put into the queues depending on their priority levels, to apply prioritization to batch processes. The performance (number) of batch servers corresponding to a queue must be in accordance with the priority level thereof.
Implementation
In AWS, the queue service is the Simple Queue Service (SQS). Multiple SQS queues may be prepared to prepare queues for individual priority levels (with a priority queue and a secondary queue). Moreover, you may also use the message Delayed Send function to delay process execution.
Use SQS to prepare multiple queues for the individual priority levels.
Place those processes to be executed immediately (job requests) in the high priority queue.
Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.
Queues have a message "Delayed Send" function. You can use this to delay the time for starting a process.
Configuration
Benefits
You can increase or decrease the number of servers for processing jobs to change automatically the processing speeds of the priority queues and secondary queues.
You can handle performance and service requirements through merely increasing or decreasing the number of EC2 instances used in job processing.
Even if an EC2 were to fail, the messages (jobs) would remain in the queue service, enabling processing to be continued immediately upon recovery of the EC2 instance, producing a system that is robust to failure.
Cautions
Depending on the balance between the number of EC2 instances for performing the processes and the number of messages that are queued, there may be cases where processing in the secondary queue may be completed first, so you need to monitor the processing speeds in the primary queue and the secondary queue.
NEW QUESTION: 3
A company collects a steady stream of 10 million data records from 100,000 sources each day.
These records are written to an Amazon RDS MySQL DB. A query must produce the daily average of a data source over the past 30 days. There are twice as many reads as writes.
Queries to the collected data are for one source ID at a time.
How can the Solutions Architect improve the reliability and cost effectiveness of this solution?
A. Use Amazon DynamoDB with the source ID as the partition key. Use a different table each day.
B. Use Amazon Aurora with MySQL in a Multi-AZ mode. Use four additional read replicas.
C. Ingest data into Amazon Kinesis using a retention period of 30 days. Use AWS Lambda to write data records to Amazon ElastiCache for read access.
D. Use Amazon DynamoDB with the source ID as the partition key and the timestamp as the sort key.
Use a Time to Live (TTL) to delete data after 30 days.
Answer: B