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NEW QUESTION: 1
An System x customer has two BladeCenter chassis in a rack with glass doors. After recently relocating them, the blowers in both BladeCenters increase to full speed, and then one fails. Apart from replacing the broken blower, which additional action is required for a long term fix?
A. Change to perforated doors
B. Add top of rack fans
C. Add Rear Door Heat eXchanger
D. Increase circulation from the data center raised floor
Answer: A
NEW QUESTION: 2
In an ISE 1.3 environment, which path does a network engineer use to set up a self-registered guest portal?
A. Guest Access > Configure > Guest Portals
B. Policy > Settings > Guests Portals
C. Policy > Authorization > Guest Portals
D. Security > Access Control Lists > Guest Portals
Answer: A
Explanation:
Explanation/Reference:
Reference: https://www.cisco.com/c/en/us/support/docs/security/identity-services-engine/118742- configure-ise-00.html
NEW QUESTION: 3
スイッチスタックでは、SDMテンプレートはどこに保存されますか？
A. マスタースイッチ
B. 別の
C. スタック内のすべてのスイッチ
D. フラッシュメモリ
Answer: A
NEW QUESTION: 4
製造会社は、機械設備の予知保全を実装したいと考えています。
同社は、AWSにリアルタイムでデータを送信する何千ものloTセンサーをインストールします。
ソリューションアーキテクトは、機械資産ごとに順序付けられた方法でイベントを受信し、後でさらに処理するためにデータが確実に保存されるソリューションを実装する必要があります。
どのソリューションが最も効率的でしょうか？
A. 各機器アセットのパーティションを使用してリアルタイムイベントにAmazon Kinesis DataStreamsを使用します。
Amazon Kinesis Data Firehoseを使用して、AmazonS3にデータを保存します。
B. 各機器アセットのシャードを使用したリアルタイムイベントにAmazon Kinesis DataStreamsを使用します。
Amazon Kinesis Data Firehoseを使用して、AmazonEBSにデータを保存します。
C. リアルタイムイベントにはAmazon SQS標準キューを使用し、機器資産ごとに1つのキューを使用します。
SQSキューからAWSLambda関数をトリガーして、AmazonS3にデータを保存します。
D. 機器資産ごとに1つのキューを使用して、リアルタイムイベントにAmazon SQSFIFOキューを使用します。
SQSキューのAWSLambda関数をトリガーして、AmazonEFSにデータを保存します。
Answer: A
Explanation:
Amazon Kinesis Data Streams collect and process data in real time. A Kinesis data stream is a set of shards. Each shard has a sequence of data records. Each data record has a sequence number that is assigned by Kinesis Data Streams. A shard is a uniquely identified sequence of data records in a stream.
A partition key is used to group data by shard within a stream. Kinesis Data Streams segregates the data records belonging to a stream into multiple shards. It uses the partition key that is associated with each data record to determine which shard a given data record belongs to.
For this scenario, the solutions architect can use a partition key for each device. This will ensure the records for that device are grouped by shard and the shard will ensure ordering. Amazon S3 is a valid destination for saving the data records.
CORRECT: "Use Amazon Kinesis Data Streams for real-time events with a partition key for each device. Use Amazon Kinesis Data Firehose to save data to Amazon S3" is the correct answer.
INCORRECT: "Use Amazon Kinesis Data Streams for real-time events with a shard for each device. Use Amazon Kinesis Data Firehose to save data to Amazon EBS" is incorrect as you cannot save data to EBS from Kinesis.
INCORRECT: "Use an Amazon SQS FIFO queue for real-time events with one queue for each device. Trigger an AWS Lambda function for the SQS queue to save data to Amazon EFS" is incorrect as SQS is not the most efficient service for streaming, real time data.
INCORRECT: "Use an Amazon SQS standard queue for real-time events with one queue for each device. Trigger an AWS Lambda function from the SQS queue to save data to Amazon S3" is incorrect as SQS is not the most efficient service for streaming, real time data.
References:
https://docs.aws.amazon.com/streams/latest/dev/key-concepts.html